Fire Fighting EngineerJobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries.<br> We are currently seeking a Junior AI Engineer – Computer Vision to join our AI engineering team.<br> As a Junior Computer Vision Engineer at InnovationTeam , you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments.<br> You will work closely with cross-functional teams to build scalable image and video analytics solutions.<br> This position requires strong expertise in computer vision, deep learning, and software engineering.<br> The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.<br> At InnovationTeam , we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.<br> Role Overview We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions.<br> The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.<br> Key Responsibilities · Develop and train Computer Vision models for image and video analysis.<br> · Implement solutions for object detection, image classification, segmentation, and tracking.<br> · Prepare and manage datasets, including data cleaning, labelling, and augmentation.<br> · Optimize models for GPU performance, inference speed, and scalability.<br> · Deploy AI models into production using APIs and containerized services.<br> · Integrate Computer Vision models with broader AI and analytics platforms.<br> · Collaborate with software engineers, data scientists, and product teams.<br> · Maintain documentation and ensure code quality and reproducibility.<br> Required Skills &amp; Qualifications · Minimum 2 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision.<br> · Master’s degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field.<br> · Strong knowledge of Computer Vision concepts and algorithms.<br> · Practical experience with CNN-based models and modern CV architectures.<br> · Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).<br> · Experience with object detection and segmentation frameworks (e.<br>g., YOLO, Detectron2).<br> · Understanding of model evaluation, metrics, and performance optimization.<br> · Experience deploying models in cloud or on-prem environments.<br> · Familiarity with Docker and basic MLOps practices.<br> · Excellent English communication skills (written and spoken).<br> Nice to Have · Experience with video analytics or real-time inference.<br> · Exposure to Vision Transformers or multimodal AI.<br> · Experience with GPU-based training and inference.<br> · Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).<br> · Background in domains such as healthcare, smart cities, or industrial AI.<br> What We Offer · Work on practical, production-grade Computer Vision solutions.<br> · Access to GPU infrastructure and modern AI tooling.<br> · Collaborative, engineering-focused work environment.<br> · Opportunities for growth and advanced AI exposure.<br> · Competitive compensation package.<br></span> </div>

<p >Oxfam is a global movement of people who are fighting inequality to end poverty and injustice. Across regions, from the local to the global, we work with people to bring change that lasts</p> <p ><a href="https://oxfam.box.com/s/nms61kw0d5d4ynixvwb34pirsmi0x10f" rel="noreferrer noopener" ><strong >Click Here</strong></a> to view the post overview</p> <h2 >BACKGROUND AND CONTEXT</h2> <p >Oxfam operates and supports multiple recycling facilities that process recyclable materials through equipment including balers, shredders, and associated waste handling systems.</p> <p >As part of Oxfam's commitment to continuous improvement, the organization recognizes the need to review existing health and safety arrangements, fire prevention measures, risk assessments, and implementation of control measures across its recycling facilities and supporting operations.</p> <p >Existing health and safety management systems are already in place, including designated Health and Safety personnel, risk assessments, and action plans. Oxfam seeks the support of an experienced Environment, Health and Safety (EHS) Technical Consultant to conduct an independent assessment and provide recommendations to strengthen fire prevention and overall safety management.</p> <h2 >SPECIFICATION OF GOODS OR SERVICES OR WORK REQUIRED</h2> <p >The consultant will:</p> <ol > <li >Review existing health and safety risk assessments and action plans for recycling operations.</li> <li >Assess compliance with health and safety controls and procedures.</li> <li >Evaluate fire prevention, detection, emergency response, and business continuity measures.</li> <li >Support Oxfam's internal review process to identify potential contributing factors to incidents and lessons learned.</li> </ol> <p >Scope of Work</p> <p ><strong >1. Field Site, Office, and Vehicle Inspections</strong></p> <ul > <li >Conduct inspections of field sites, offices, and organizational vehicles to verify compliance with health, safety, and environmental standards.</li> </ul> <p ><strong >2. Office, Accommodation, and Residential Facility Safety Assessments</strong></p> <ul > <li >Assess Amman offices, staff accommodation, and residential facilities to ensure compliance with applicable safety requirements, including: <ul > <li >Fire detection and alarm systems.</li> <li >Emergency evacuation plans and procedures.</li> <li >Electrical and gas safety standards.</li> <li >Occupancy and living-space requirements.</li> <li >General building maintenance and housekeeping practices.</li> <li >Emergency preparedness and response measures.</li> <li >Adequacy, type, condition, and placement of fire extinguishers and first aid boxes.</li> </ul> </li> </ul> <p ><strong >3. Vehicle Safety and Fleet Evaluation</strong></p> <ul > <li >Evaluate vehicle safety and driving practices with recommendations, including: <ul > <li >Vehicle inspection, servicing, and preventive maintenance procedures.</li> <li >Driver competency assessments and safe driving practices.</li> <li >Delivery of defensive driving training and traffic accident management inductions.</li> <li >Availability and condition of emergency equipment and first-aid kits in vehicles.</li> </ul> </li> </ul> <p ><strong >4. Driver Safety Induction</strong></p> <ul > <li >Conduct driver inductions on traffic safety regulations, road risk management, and safe driving expectations.</li> </ul> <p ><strong >5. Hazard Identification and Corrective Action Follow-Up</strong></p> <ul > <li >Conduct inductions and awareness sessions on hazard identification according to work location with recommend corrective actions and follow up on the implementation of safety improvements to ensure continuous compliance and risk reduction according to organization and country standards.</li> </ul> <p ><strong >6. Follow up with the safety team on any additional requirement needed for the organization.</strong></p> <p >If the supplier wishes to propose modifications to the specification (which may provide a better way to achieve Oxfam ´s objectives) these must be considered as an alternative offer. The Supplier must make alternative offers in a separate letter to accompany the offer. OXFAM is under no obligation to accept alternative offers.</p> <h2 >METHODOLOGY</h2> <p >The key steps to be followed though not explicit and the detailed modality and work plan will be agreed during consultation meeting include:</p> <p >The consultant is expected to apply a combination of:</p> <p >Document review.<br > • Site inspections.<br > • Staff interviews and consultations.<br > • Compliance assessment against Jordanian regulations and international good practice.<br > • Gap analysis.<br > • Risk assessment review.<br > • Development of recommendations and action plans.</p> <p ><strong >Planned Timeline</strong></p> <p ><a href="https://oxfam.box.com/s/lc3bsxzzdbchn4bpwutxiwezevag9nbr" rel="noreferrer noopener" ><strong >Click Here</strong></a> to view the planned timeline</p> <h2 >EXPERIENCE OR PROFILE REQUIREMENTS</h2> <p >The company/ individual(s) should have the following competencies:</p> <ul > <li >Minimum 7 years of experience in EHS management, industrial safety, recycling operations, or fire safety.</li> <li >Experience working with NGOs, international organizations, or humanitarian agencies is desirable [Proficiency in [skill]</li> <li >Advanced degree (Master is preferred) in Engineering, Environmental, or Natural Sciences, or in other related technical disciplines.</li> <li >Professional certification in Health and Safety.</li> <li >Considerable experience in a similar position.</li> <li >Knowledge of machinery, equipment and tools.</li> <li >100% of presence should be on the worksite.</li> <li >Experience working with NGOs, international organizations, or humanitarian agencies is desirable.</li> <li >Experience in waste management, recycling facilities, manufacturing, or similar industrial environments.</li> <li >Strong report-writing and analytical skills.</li> </ul> <section class="rw-how-to-apply" > <h2 class="rw-how-to-apply__title" >How to apply</h2> <h3 >APPLICATION PROCESS</h3> <h4 >Submission Instructions</h4> <p >Quotations and applications must reach Oxfam no later than <strong >1st of July 2026</strong></p> <p >Responses must be submitted in English, electronically or by hand to: <a href="https://oxfamunited-my.sharepoint.com/personal/zlebade_oxfam_org_uk/Documents/AmmanProcurement@oxfam.org.uk" rel="noreferrer noopener" >[<strong >AmmanProcurement@oxfam.org.uk</strong></a></p> <p >The subject of the mail should be: [RFQ-JOAMM-26-0090– Proposal Submission + [Name of bidder]]</p> <p >Any questions, remarks or requests for clarification can be sent up to 7 days before the submission deadline in writing. The (anonymised) questions will be answered to all applicants.</p> <h4 >Administrative Requirements</h4> <p >To be shortlisted for evaluation against award criteria, <a href="https://oxfam.box.com/s/q7zcg5c6u2um5n916zrdew1481zafoc5" rel="noreferrer noopener" ><strong >Click Here</strong></a> to view the documents must be submitted with this application.</p> <h4 >Evaluation and Award Criteria</h4> <p ><a href="https://oxfam.box.com/s/9trv062yg12xs3emd0uebqt3n86wjax8" rel="noreferrer noopener" ><strong >Click Here</strong></a> to view the evaluation and award criteria</p> <p >[Only quotations with combined scores of at least 50/70 points for the technical award criteria (approach paper and CV) qualify for the financial evaluation.]</p> <p >Oxfam withholds the right to conduct interviews with one or more potential suppliers before an award decision is made. The purpose of the interview is to seek further clarification on the submitted quotations and learn more about the background and previous experiences of the potential suppliers and their teams.</p> <h3 >OTHER CONDITIONS</h3> <p >Conditions for participating in the procurement process are detailed in the <a href="https://oxfam.box.com/s/zzwzvcmp83i3lqh8wfigx13muacyef3z" rel="noreferrer noopener" >Terms &amp; Conditions of Bidding</a></p> <h3 >CODE OF CONDUCT</h3> <p >Oxfam is committed to integrity in its operations and supply chains and ensuring high ethical standards. Complying with all laws and regulations and ensuring fair competition are fundamental to this commitment. We actively promote these principles and standards, and expect all Oxfam suppliers to demonstrate commitment towards them.</p> <p >All consultants/applicant are required to agree and adhere to the <a href="https://oxfam.box.com/s/sr8j71t6ca1bu3p371cwot26qob15f1p" rel="noreferrer noopener" ><strong >Oxfam Supplier Code of Conduct</strong></a>, whereas individuals (including consultants) must sign the <a href="https://oxfam.box.com/s/03bmcha7n01pqj9i62uw1t2a7pygbq41" rel="noreferrer noopener" ><strong >Oxfam Non Staff Code of Conduct</strong></a>. These Codes of Conduct set out the specific standards and principles in the areas of human and labour rights, environmental impact and anti-corruption that suppliers must follow.</p> <h3 >ANNEXES</h3> <ul > <li ><a href="https://oxfam.box.com/s/grbvwi0fbg8dl1bnexo4pha5jylnf81f" rel="noreferrer noopener" >Conflict of interest declaration form for 3rd parties</a></li> <li ><a href="https://oxfam.box.com/s/l6ykk3npbffwxdpg3ly3kgftxb87fy1f" rel="noreferrer noopener" >Safeguarding policy</a></li> <li >(If applicable) <a href="https://oxfam.box.com/s/o2w2dmf8racpaewj6muz9yqs88yiuy8g" rel="noreferrer noopener" >Oxfam child safeguarding policy</a></li> <li >(Edit and use if applicable) <a href="https://oxfam.box.com/s/mo8artt9l8a2x0cnpqrqqrugt8k0r773" rel="noreferrer noopener" >Example privacy notice</a></li> </ul> <p >&nbsp;</p> <p >&nbsp;</p> <ol > <li > <p ><a href="https://reliefweb.int/job/4217710/environment-health-and-safety-ehs-technical-consultant#ref-ftn1" >^</a></p> <p >Non-Staff Code of Conduct applies for any self-employed individuals or contracted employees of suppliers who are working on Oxfam sites, or who have access to Oxfam materials, or who may represent Oxfam in any manner but are not part of Oxfam’s legal entity)</p> </li> </ol> </section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>VirtuStaff is seeking a hands-on Full-Stack Software Engineer to join its Jordan-based pre-launch team and progressively bring the development and technical management of its SaaS platform in-house.</p><p>The successful candidate will initially work closely with VirtuStaff’s third-party technical team to complete a structured handover of the existing codebase, architecture, database, cloud environment, integrations and release processes. The engineer will gradually assume responsibility for resolving software defects, modifying workflows, developing new features, managing integrations, supporting releases and maintaining the platform’s day-to-day technical performance.</p><p>The role also includes supporting and improving VirtuStaff’s AI-enabled features, including candidate screening, profile analysis, candidate-to-role matching and workflow automation. These are practical product-level AI functions rather than advanced artificial-intelligence research. The engineer should be comfortable integrating AI services, managing prompts and structured outputs, troubleshooting AI-related workflows and working with external AI APIs or models.</p><p>The engineer will contribute across VirtuStaff’s candidate, client, HR, attendance, training, CRM and administrative systems while collaborating with the Founders, Operations, HR, Sales, Marketing and external technical partners.</p><p><br></p><p><b>Key Responsibilities</b></p><ul><li>Complete a structured handover from the existing third-party development team.</li><li>Understand and document the platform’s front end, back end, database, architecture, infrastructure and integrations.</li><li>Develop, test and release new platform features.</li><li>Modify existing candidate, client, HR, attendance, training and administrative workflows.</li><li>Diagnose and directly fix front-end, back-end, API, integration and database-related defects.</li><li>Gradually assume responsibility for routine platform development and maintenance.</li><li>Maintain and enhance AI-enabled candidate screening and matching workflows.</li><li>Integrate external AI APIs, language models or approved AI services into the platform.</li><li>Configure and improve prompts, structured outputs, validation rules and AI workflow logic.</li><li>Investigate inaccurate, missing, delayed or inconsistent AI-screening and matching results.</li><li>Work with HR and Management to translate approved candidate-matching rules into technical workflows.</li><li>Monitor AI-service errors, response quality, usage and integration performance.</li><li>Maintain safeguards so AI recommendations do not automatically replace approved human decisions.</li><li>Build and maintain CRM, email, analytics, payment, notification and third-party integrations.</li><li>Review application logs, browser errors, API responses and database records.</li><li>Maintain source code using Git, appropriate branching, version control and release documentation.</li><li>Support cloud environments, deployments, monitoring, backups and technical configuration.</li><li>Conduct UAT, regression testing, code reviews and post-release checks.</li><li>Apply appropriate authentication, permissions, privacy and data-security controls.</li><li>Maintain technical documentation, system diagrams and deployment instructions.</li><li>Coordinate with external developers when additional expertise or capacity is required.</li><li>Recommend improvements to platform security, reliability, performance and scalability.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Three to six years of professional full-stack software-development experience.</li><li>Experience developing and maintaining production web applications.</li><li>Strong front-end and back-end programming capability.</li><li>Experience working with relational databases and SQL.</li><li>Strong API, webhook and third-party integration experience.</li><li>Experience using Git, repositories, branches, pull requests and release processes.</li><li>Strong browser, server, database and integration debugging ability.</li><li>Familiarity with cloud hosting, deployment environments, monitoring and application logs.</li><li>Experience taking over or maintaining an existing codebase developed by another team.</li><li>Understanding of authentication, user roles, permissions, MFA and secure data handling.</li><li>Experience conducting UAT, regression testing and post-release verification.</li><li>Ability to translate business requirements into technical solutions.</li><li>Ability to write clean, maintainable and documented code.</li><li>Strong analytical and problem-solving ability.</li><li>Strong English communication; Arabic is strongly preferred.</li><li>Ability to work full-time from VirtuStaff’s Jordan office.</li></ul><p><br></p><p><b>AI-Related Experience</b></p><p>The candidate should also have at least some experience with:</p><ul><li>Integrating AI or large-language-model APIs into web applications.</li><li>Working with tools or services such as OpenAI, Azure OpenAI, Google AI, AWS AI services or equivalent platforms.</li><li>Sending application data to an AI service and processing structured responses.</li><li>Prompt configuration and prompt-version management.</li><li>JSON-based AI outputs and response validation.</li><li>AI-assisted classification, scoring, matching or recommendation workflows.</li><li>Handling AI errors, timeouts, incomplete responses and inconsistent results.</li><li>Protecting personal or confidential data when working with AI services.</li><li>Combining AI recommendations with human review and business rules.</li></ul><p><br></p><p><b>Preferred but Not Mandatory</b></p><ul><li>Experience with recruitment technology, HR platforms, marketplaces or applicant-tracking systems.</li><li>Experience developing candidate-matching, recommendation or ranking features.</li><li>Familiarity with embeddings, semantic search or vector databases.</li><li>Experience with automated testing, CI/CD and cloud security.</li><li>Basic knowledge of Python for AI-service integrations or data processing.</li><li>Experience with AI monitoring, evaluation or prompt testing.</li></ul><p><br></p></div>

<p>Our Mission is to Simplify Life. We are looking to Simplify and automate complex decision-making for customer centric industries, like Utilities, Financial Services, Logistics, and commerce, that drive the world's economies and you have the chance to join the revolution. We are trying to solve huge challenges in today's enterprise that are directly impacting the employee and customer experience. Avertrau2019s DevOps team is responsible for building and maintaining a modern, scalable, highly available infrastructure to power up our products and service for our clients all over the world. We are looking for a skilled DevOps Engineer who has strong practical troubleshooting skills, advanced overall systems knowledge, public clouds, and provisioning tools. The successful candidate will be responsible for:</p><p>Designing, building, shipping, and maintaining distributed systems. Building Monitoring, logging, alerting around our infrastructure and applications. Improving the reliability of our systems and CI/CD pipelines both internally and for our customers. Putting everything into code. Plan for reliability by designing systems to work across our multi-region and multi-cloud environments. Working in close collaboration with multi-functional teams. Technical writing / Documentation. Vendor Management.</p><p><strong>Main Job Responsibilities:</strong></p><ul><li><strong>Continuous Integration and Deployment:</strong><ul><li>Implement and maintain automated build, test, and deployment pipelines using industry-standard tools such as Jenkins, Travis CI, or GitLab CI/CD, Azure DevOpsu2026etc.</li><li>Design and configure continuous integration and delivery workflows to enable frequent and reliable releases of software applications.</li></ul></li><li><strong>Infrastructure Automation:</strong><ul><li>Develop and maintain infrastructure-as-code using tools like Terraform, Ansible, or CloudFormation to automate the provisioning and configuration of cloud-based environments.</li><li>Implement and manage containerization technologies like Docker and orchestration platforms like Kubernetes for scalable and resilient application deployments.</li></ul></li><li><strong>Monitoring and Performance Optimization:</strong><ul><li>Monitor system performance and troubleshoot issues related to scalability, reliability, and availability.</li><li>Implement and configure monitoring tools such as Prometheus, Grafana, New Relic, or ELK Stack to proactively identify bottlenecks and optimize system performance.</li></ul></li><li><strong>Collaboration and Communication:</strong><ul><li>Collaborate with cross-functional teams, including developers, system administrators, and quality assurance, to improve the development and deployment processes.</li><li>Act as a bridge between development and operations teams, facilitating effective communication and knowledge sharing.</li></ul></li><li><strong>Security and Compliance:</strong><ul><li>Implement and enforce security best practices throughout the software development lifecycle.</li><li>Ensure compliance with relevant regulations, industry standards and internal policies.</li></ul></li><li><strong>Documentation and Knowledge Sharing:</strong><ul><li>Document infrastructure configurations, deployment processes, and troubleshooting guidelines.</li><li>Contribute to internal knowledge sharing initiatives and help in developing best practices within the organization.</li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>5+ years of relevant of hands-on experience in the DevOps industry</li><li>Containerization (Kubernetes and OpenShift)</li><li>Configuration tools and frameworks (Terraform, Istio, Helm)</li><li>Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing, SSL Certificates) and virtualization vs containerization</li><li>Public clouds: AWS/Azure/GCP/Mendix</li><li>Security Awareness</li><li>Experience with CI/CD concepts</li><li>Experience in conducting IT audits, both internal and external</li><li>Fluent in both oral and written English</li><li>Time Management skills</li><li>Capable of succeeding in a very dynamic and fast-paced environment</li><li>Able to work individually as well as being a cooperative team player</li><li>Knowledge of programming languages</li><li>Strong problem-solving skills</li><li>Good attention to detail</li><li>Excellent organisational and time management skills, and the ability to work on multiple projects at the same time</li><li>Awareness of DevOps and Agile principles.</li><li>Strong understanding of software development methodologies and the SDLC.</li><li>Proficiency in scripting languages such as Bash, Python, or PowerShell.</li><li>Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.</li><li>Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes.</li><li>Familiarity with infrastructure automation tools such as Terraform, Ansible, or CloudFormation.</li><li>Experience with CI/CD tools like Jenkins, Travis CI, or GitLab CI/CD.</li><li>Understanding of networking concepts and protocols.</li><li>Knowledge of monitoring and logging tools such as Prometheus,New Relic Grafana, or ELK Stack.</li><li>Strong problem-solving and troubleshooting skills.</li><li>Excellent communication and collaboration skills.</li><li>AWS Certified DevOps Engineer Professional.</li><li>AWS Certified DevOps Engineer - Professional Certification.</li><li>Azure DevOps Engineer Expert.</li><li>Certified Kubernetes Administrator (CKA).</li><li>Docker Certified Associate (DCA).</li><li>Puppet Certified Professional.</li><li>Degree in Computer Science or related field (Master / Bachelor level).</li></ul>

<p>PIPECARE Group is looking for an experienced Mechanical Engineer to join our team . By providing technology and service focused solutions to the international arena of the oil and gas industry, the PipeCare Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 25 years. Industry/sector: Oil &amp; Gas / In Line Inspection services.</p><p>Mechanical Engineer is responsible for performing comprehensive Fitness-for-Service assessment studies on client s pipelines using API 579 and other international standards.</p><p>Key Responsibilities &amp; Authorities</p><ul><li>Perform FFP evaluations of clients assets based on Level 1 &amp; 2 assessments of damage mechanisms.</li><li>Performing RSTRENG calculations per clients requirements.</li><li>Perform Abaqus simulation models for corroded components.</li><li>Integrate inspection data into Abaqus simulation and perform analysis for degraded components.</li><li>Evaluate repair options and make recommendations to clients.</li></ul><p>Team leadership and collaboration</p><ul><li>Develop training material related to Pipeline Integrity.</li><li>Lead, mentor, and train a team of Integrity Engineers within the corporation, ensuring their skills are up-to-date and that they are consistently applying high-quality standards.</li><li>Act as the primary subject matter expert (SME) on Integrity Engineering during internal and external audits.</li><li>Liaise with clients, project managers, and integrity engineers to understand project requirements and provide data-driven insights to support decision-making.</li><li>Communicate complex findings and data-driven narratives to senior management and other non-technical stakeholders.</li></ul><p>Skills/Experience</p><ul><li>Minimum of Bachelor s Degree in Mechanical Engineering.</li><li>3-5 years experience in Oil and Gas industry.</li><li>Experience in API 579, ASME codes, Abaqus.</li><li>Strong professional command of written and spoken English in addition to communication skills is a must.</li></ul><p>Physical and Mental Requirements:</p><ul><li>Lifting and Carrying: Ability to lift and carry up to 50 pounds.</li><li>Mobility: Must be able to walk and climb to perform duties, including maneuvering within a refinery or plant environment and accessing elevated platforms via ladders and stairwells.</li><li>Communication: Sufficient clarity of speech and hearing, or other communication capabilities, to communicate effectively.</li><li>Focus and Multitasking: Ability to maintain focus and multitask effectively.</li><li>Safety Equipment: Must be able to wear safety equipment as required by the safety department for personal protection, if/where needed in manufacturing environments.</li><li>Personal Mobility and Reflexes: Sufficient personal mobility and physical reflexes, with or without reasonable accommodations, to perform office duties and travel to off-site locations when necessary.</li></ul><p>About PIPECARE Group:</p><p>PIPECARE Group offers comprehensive In-Line Inspection Services to identify and size pipeline threats, Utilizing advanced technologies such as Magnetic Flux Leakage, Transverse Field Inspection, Ultrasound, and specialized tools, PIPECARE ensures precise detection and assessment of various pipeline anomalies.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum of Bachelor s Degree in Mechanical Engineering.</li><li>3-5 years experience in Oil and Gas industry.</li><li>Experience in API 579, ASME codes, Abaqus.</li><li>Strong professional command of written and spoken English in addition to communication skills is a must.</li></ul><p>Physical and Mental Requirements:</p><ul><li>Lifting and Carrying: Ability to lift and carry up to 50 pounds.</li><li>Mobility: Must be able to walk and climb to perform duties, including maneuvering within a refinery or plant environment and accessing elevated platforms via ladders and stairwells.</li><li>Communication: Sufficient clarity of speech and hearing, or other communication capabilities, to communicate effectively.</li><li>Focus and Multitasking: Ability to maintain focus and multitask effectively.</li><li>Safety Equipment: Must be able to wear safety equipment as required by the safety department for personal protection, if/where needed in manufacturing environments.</li><li>Personal Mobility and Reflexes: Sufficient personal mobility and physical reflexes, with or without reasonable accommodations, to perform office duties and travel to off-site locations when necessary.</li></ul>

<p>POSITION SUMMARY Install, maintain, perform preventative maintenance on, and recommend replacement of tools, appliances, and equipment. Calibrate all controls, gauges, meters, etc. Identify, locate, and operate all shut-off valves. Order, mark, and stock parts and supplies as needed. Maintain inventory and purchase orders log. Inspect tools, equipment, or machines. Enter and locate work-related information using computers. Operate power lift. Complete the life safety checklist, including the fire-pump run test and generator run test. Inspect fire sprinkler valves and alarm systems. Assist in development of disaster response protocols. Respond and attend to guest repair requests. Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees. Follow all company and safety and security policies and procedures; report maintenance problems, safety hazards, accidents, or injuries; and complete safety training and certifications. Ensure uniform and personal appearance are clean and professional and maintain confidentiality of proprietary information. Welcome and acknowledge all guests according to company standards, anticipate and address guests service needs, and assist individuals with disabilities. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; and identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Speak with others using clear and professional language. Visually inspect tools, equipment, or machines. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance. Grasp, turn, and manipulate objects of varying size and weight. Stand, sit, or walk for an extended period of time. Move up and down stairs and/or service ramps. Perform other reasonable job duties as requested by Supervisors.</p><p><strong>Desired Candidate Profile</strong></p><p>Education: Technical, Trade, or Vocational School Degree. Related Work Experience: At least 2 years of related work experience. Supervisory Experience: At least 2 years of supervisory experience. License or Certification: None</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Our Mission is to Simplify Life. We are looking to Simplify and automate complex decision-making for customer centric industries, like Utilities, Financial Services, Logistics, and commerce, that drive the world's economies and you have the chance to join the revolution. We are trying to solve huge challenges in today's enterprise that are directly impacting the employee and customer experience.</p><p><br></p><p>Avertra’s DevOps team is responsible for building and maintaining a modern, scalable, highly available infrastructure to power up our products and service for our clients all over the world.&nbsp;We are looking for a skilled DevOps Engineer who has strong practical troubleshooting skills, advanced overall systems knowledge, public clouds, and provisioning tools. The successful candidate will be responsible for:</p><p>● Designing, building, shipping, and maintaining distributed systems.</p><p>● Building Monitoring, logging, alerting around our infrastructure and applications.</p><p>● Improving the reliability of our systems and CI/CD pipelines both internally and for our customers.</p><p>● Putting everything into code.</p><p>● Plan for reliability by designing systems to work across our multi-region and multi-cloud environments.</p><p>● Working in close collaboration with multi-functional teams.</p><p>● Technical writing / Documentation.</p><p>● Vendor Management.</p><p><br></p><p><b>Main Job Responsibilities:</b></p><p><b>​</b></p><p><b>Continuous Integration and Deployment:</b></p><p>• Implement and maintain automated build, test, and deployment pipelines using industry-standard tools such as Jenkins, Travis CI, or GitLab CI/CD, Azure DevOps…etc.</p><p>• Design and configure continuous integration and delivery workflows to enable frequent and reliable releases of software applications.</p><p><br></p><p><b>Infrastructure Automation:</b></p><p>• Develop and maintain infrastructure-as-code using tools like Terraform, Ansible, or CloudFormation to automate the provisioning and configuration of cloud-based environments.</p><p>• Implement and manage containerization technologies like Docker and orchestration platforms like Kubernetes for scalable and resilient application deployments.</p><p><br></p><p><b>Monitoring and Performance Optimization:</b></p><p>• Monitor system performance and troubleshoot issues related to scalability, reliability, and availability.</p><p>• Implement and configure monitoring tools such as Prometheus, Grafana, New Relic, or ELK Stack to proactively identify bottlenecks and optimize system performance.</p><p><br></p><p><b>Collaboration and Communication:</b></p><p>• Collaborate with cross-functional teams, including developers, system administrators, and quality assurance, to improve the development and deployment processes.</p><p>• Act as a bridge between development and operations teams, facilitating effective communication and knowledge sharing.</p><p><br></p><p><b>Security and Compliance:</b></p><p>• Implement and enforce security best practices throughout the software development lifecycle.</p><p>• Ensure compliance with relevant regulations, industry standards, and internal policies.</p><p><br></p><p><b>Documentation and Knowledge Sharing:</b></p><p>• Document infrastructure configurations, deployment processes, and troubleshooting guidelines.</p><p>• Contribute to internal knowledge sharing initiatives and help in developing best practices within the organization.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Experience:&nbsp;</b></p><p><br></p><p>● 5+ years of relevant of hands-on experience in the DevOps industry</p><p>● Containerization (Kubernetes and OpenShift)</p><p>● Configuration tools and frameworks (Terraform, Istio, Helm)</p><p>● Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing, SSL Certificates) and virtualization vs containerization</p><p>● Public clouds: AWS/Azure/GCP/Mendix</p><p>● Security Awareness</p><p>● Experience with CI/CD concepts</p><p>● Experience in conducting IT audits, both internal and external</p><p><br></p><p><b>Needed Competencies:</b></p><p><br></p><p>● Fluent in both oral and written English</p><p>● Time Management skills</p><p>● Capable of succeeding in a very dynamic and fast-paced environment</p><p>● Able to work individually as well as being a cooperative team player</p><p>● Knowledge of programming languages</p><p>● Strong problem-solving skills</p><p>● Good attention to detail</p><p>● Excellent organisational and time management skills, and the ability to work on multiple projects at the same time</p><p>● Awareness of DevOps and Agile principles.</p><p><br></p><p><b>Knowledge, Skills and Abilities:</b></p><p><br></p><p>• Strong understanding of software development methodologies and the SDLC.</p><p>• Proficiency in scripting languages such as Bash, Python, or PowerShell.</p><p>• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.</p><p>• Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes.</p><p>• Familiarity with infrastructure automation tools such as Terraform, Ansible, or CloudFormation.</p><p>• Experience with CI/CD tools like Jenkins, Travis CI, or GitLab CI/CD.</p><p>• Understanding of networking concepts and protocols.</p><p>• Knowledge of monitoring and logging tools such as Prometheus,New Relic Grafana, or ELK Stack.</p><p>• Strong problem-solving and troubleshooting skills.</p><p>• Excellent communication and collaboration skills.</p><p><br></p><p><b>Preferences:</b></p><p><br></p><p>● AWS Certified DevOps Engineer Professional.</p><p>● AWS Certified DevOps Engineer - Professional Certification.</p><p>● Azure DevOps Engineer Expert.</p><p>● Certified Kubernetes Administrator (CKA).</p><p>● Docker Certified Associate (DCA).</p><p>● Puppet Certified Professional.</p><p><br></p><p><b>Education:</b> Degree in Computer Science or related field (Master / Bachelor level).</p><p><br></p><p><b>Travel:</b>&nbsp;&nbsp;Based on customer requirement(s).</p><p><br></p><p><b>Work Schedule:</b>&nbsp;&nbsp;Local Avertra office schedule.</p><p><br></p><p>Benefits</p><p><b>What can we promise you:</b></p><ul><li>You’ll join a global family of awesome, passionate people that are working together to build a sustainable, scalable ecosystem committed to using logic to create a better experience.</li><li>We want you to help us become better. You will be empowered to drive change and innovate.</li><li>That we will invest in you. We will give you the opportunity to master your domain and drive excellence.</li></ul><p><br></p></div>

<p>1. JOB DETAILS:</p><p>Job Title: Analyst, ML Engineer</p><p>Reports to: Sr. Manager, IT Digital Platforms &amp; Digital Transformation</p><p>Department: IT Applications</p><p>Function: IT Applications</p><p>Company: Hikma Holding</p><p>2. JOB PURPOSE:</p><p>The ML Engineer is responsible for supporting the development, testing, and deployment of machine learning models and AI-powered pipelines across Hikma Pharmaceuticals. Working as part of the AI team under the Sr. Manager, IT Digital Platforms &amp; Digital Transformation, and under the close guidance of the AI Architect and AI developers team, this role provides hands-on ML engineering support across the solution lifecycle from data preparation and model experimentation through to deployment and monitoring. The ML Engineer is expected to develop their machine learning and data engineering skills rapidly within a structured team environment, contributing to Hikma's enterprise AI transformation while building foundational expertise in regulated pharmaceutical AI delivery.</p><p>3. JOB DIMENSIONS:</p><p>Number of Staff Supervised: Direct Reports Count: 0 (0 vacant)</p><p>Indirect Reports Count: N/A</p><p>Financial Budget (USD): Supports AI initiative delivery under team supervision</p><p>4. KEY ACCOUNTABILITIES:</p><p>ML Model Development &amp; Experimentation</p><ul><li>Support the development, training, and evaluation of machine learning models under the guidance of the AI Architect and senior team members, following approved architecture standards and initiative briefs</li><li>Assist in ML experimentation activities including data exploration, feature engineering, model selection, and performance evaluation using standard frameworks and cloud AI services</li><li>Apply foundational ML techniques across classical machine learning, NLP, and generative AI domains relevant to Hikma's business areas including Supply Chain, Quality, HR, and Commercial</li><li>Support the implementation of LLM-based solutions including RAG pipelines, prompt engineering, and embedding-based retrieval under senior technical guidance</li><li>Maintain experiment tracking logs, model versioning records, and reproducibility documentation using tools such as ML flow or Azure Machine Learning</li><li>Produce clear and accurate model development artefacts including experiment summaries, performance reports, and model documentation</li></ul><p>Data Engineering &amp; Feature Development</p><ul><li>Assist in building and maintaining ML data pipelines covering data ingestion, transformation, validation, and basic feature engineering for model training and inference workflows</li><li>Support data quality checks, anomaly detection, and dataset preparation activities to ensure ML model inputs meet required standards</li><li>Collaborate with the Data &amp; Analytics team to access and understand available data assets, following data governance and privacy guidelines</li><li>Work with structured data sources including relational databases and enterprise system extracts, developing proficiency in handling diverse data types over time</li></ul><p>ML-Ops &amp; Production Support</p><ul><li>Support the implementation and maintenance of ML-Ops pipeline components including model packaging, deployment, and basic performance monitoring under senior team guidance</li><li>Assist in deploying ML models to cloud environments using approved tooling (Azure Machine Learning, ML-flow, Docker, or equivalent)</li><li>Monitor deployed models for observable performance issues and flag anomalies to the AI Architect or senior team members for investigation</li><li>Maintain accurate records in model registries including versioning and change logs across AI initiatives</li><li>Contribute to the documentation and validation support activities for ML models deployed in GxP-regulated contexts, following defined compliance processes</li></ul><p>Quality Assurance &amp; Testing</p><ul><li>Support the development and execution of testing activities for ML solutions, including data, pipeline tests, model performance checks, and basic integration testing</li><li>Actively participate in code reviews and technical walkthroughs, applying feedback to improve code quality and engineering practices</li><li>Document assigned ML components clearly including data preparation steps, model configurations, test results, and known issues</li><li>Identify and escalate technical issues encountered across the ML stack in a timely and structured manner</li></ul><p>5. Behavioural Competencies:</p><p>Initiative &amp; Drive for Results - Very Good</p><p>Change &amp; Innovation - Very Good</p><p>Communication &amp; Influence - Good</p><p>Developing &amp; Empowering others - Good</p><p>Problem Solving &amp; decision Making - Excellent</p><p>Strategic Thinking - Good</p><p>6. Technical Competencies:</p><p>ML Model Development &amp; Experimentation - Good</p><p>Python &amp; ML Frameworks (PyTorch, TensorFlow, scikit-learn, HuggingFace) - Good</p><p>MLOps &amp; Model Lifecycle Tooling - Good</p><p>Data Engineering &amp; Pipeline Support - Good</p><p>Cloud AI/ML Services (Azure ML) - Good</p><p>Generative AI &amp; LLM Development (RAG, LangChain, Semantic Kernel) - Very Good</p><p>Model Explainability &amp; Responsible AI Awareness - Very Good</p><p>Containerization &amp; CI/CD Basics (Docker, Git, Azure DevOps) - Good</p><p>7. COMMUNICATIONS &amp; WORKING RELATIONSHIPS:</p><p>Internal: AI Champions Network, AI Architect, AI Developer, Data &amp; Analytics Team</p><p>External: AI/ML Vendors &amp; Solution Providers, Implementation Partners, Open Source &amp; Developer Communities</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Software Engineering, Data Science, Mathematics, Statistics, or related technical field *(Required)*</li><li>Master's degree in Artificial Intelligence, Machine Learning, Data Science, or Computer Science *(Preferred)*</li><li>Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, or Google Professional ML Engineer certification *(Preferred)*</li><li>Relevant ML/AI certifications (e.g., DeepLearning.AI ML Specialization, Databricks ML Associate, fast.ai) *(Preferred)*</li><li>0-1 year of professional experience in software development, data science, machine learning, or a related technical field (fresh graduates are welcome to apply)</li><li>Demonstrated hands-on experience with ML model development through academic projects, internships, capstone projects, hackathons, or personal projects</li><li>Familiarity with cloud AI/ML platforms (Azure, AWS, or GCP) gained through coursework, self-study, or practical experimentation *(Preferred)*</li><li>Any exposure to generative AI, LLM tools, or RAG concepts through academic or personal projects *(Preferred)*</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry exposure *(Preferred but not expected)*</li><li>Working knowledge of Python and foundational ML/DL libraries including scikit-learn, pandas, NumPy, and at least one deep learning framework</li><li>Practical exposure to training and evaluating ML models including classical machine learning and at least one of: NLP, computer vision, or time-series analysis through academic, personal, or internship projects</li><li>Basic familiarity with generative AI concepts including Large Language Models, prompt engineering, and RAG principles *(Preferred)*</li><li>Awareness of ML-Ops concepts and tools such as ML-flow or Azure Machine Learning for experiment tracking and model management *(Preferred)*</li><li>Basic experience with data preparation, cleaning, transformation, and exploratory data analysis using Python</li><li>Familiarity with version control using Git and basic software development practices including code reviews and testing</li><li>Basic understanding of cloud platforms (Azure, AWS, or GCP) and awareness of cloud-based AI/ML services *(Preferred)*</li><li>Familiarity with containerization concepts (Docker) and CI/CD basics *(Preferred)*</li><li>Awareness of responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security practices relevant to ML development</li><li>Any familiarity with pharmaceutical business processes or GxP compliance in a technology context is a plus *(Preferred)*</li></ul>

</span></i></b></span></span></p> <p align="center" ><span >A leading Industrial Engineering Group is looking to fill the following vacancy:<span ></span></span></p> <p align="center" ><b><span ><span >Production/ Plant Manager</span></span></b><b><span ><span ></span></span></b></p> <ul> <li><span >Bachelor’s degree in Engineering, Industrial Management, or related field</span></li> <li><span >Strong leadership, team management, and problem-solving skills</span></li> <li><span >Proficiency in production planning, workflow optimization, and process management</span></li> <li><b><span >Strong experience in Wood & Furniture production management is a plus</span></b></li> <li><span >Knowledge of resource allocation and supply chain coordination</span></li> <li><span >Excellent communication and interpersonal skills to foster teamwork and collaboration</span></li> <li><span >Analytical thinking and the ability to make data-driven decisions</span></li> </ul> <p align="center" ><b><span ><span >Production Engineer</span></span></b></p> <ul> <li><span >Bachelor degree in Engineering.</span></li> <li><span >Previous experience (<span >1<span >-3<span > years) in Production/ Plant Management (Preferably in Furniture/ Wood Works production) </span></span></span></span></li> <li><span >Strong analytical and problem-solving skills, leadership skills.</span></li> <li><span >Excellent attention to details</span></li> <li><span >Effective communication and teamwork abilities</span></li> </ul> <p align="center" ><span >Qualified candidates should send their CVs with the job title by e-mail to</span></p> <p align="center" ><a href="mailto:vacancies111@yahoo.com"><b><span >vacancies111@yahoo.com</span></b></a><span ></span></p>

<p><h4>Description</h4> <p>DeepSource Technologies is looking for a senior cloud infrastructure engineer specializing in Google Cloud Platform (GCP) to join our Riyadh, KSA team. In this senior role, you will design, implement, and manage scalable and secure cloud infrastructure solutions on GCP to support our dynamic business needs. You will collaborate closely with development, security, and operations teams to ensure high availability, performance, and cost-efficiency of cloud services.</p> <h4>Key responsibilities:</h4> <ul> <li>Design and implement GCP-based infrastructure solutions including compute, storage, networking, and security services.</li> <li>Manage and optimize cloud resources with a focus on performance, scalability, and cost.</li> <li>Lead infrastructure automation initiatives using Infrastructure as Code (IaC) tools like Terraform and Deployment Manager.</li> <li>Ensure compliance with security best practices and governance policies in cloud environments.</li> <li>Monitor cloud infrastructure and troubleshoot issues to maintain high uptime and reliability.</li> <li>Collaborate with DevOps and development teams to support CI/CD pipelines and cloud-native applications.</li> <li>Stay up-to-date with latest GCP technologies and provide recommendations for cloud adoption and improvement.</li> </ul> <h4>Requirements</h4> <ul> <li>5+ years of experience in cloud infrastructure engineering, specifically with Google Cloud Platform.</li> <li>Strong knowledge of GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud Networking, Cloud IAM, and BigQuery.</li> <li>Experience with Infrastructure as Code tools like Terraform, Deployment Manager, or similar.</li> <li>Proficient with containerization and orchestration technologies such as Docker and Kubernetes.</li> <li>Strong understanding of networking, security, and compliance in cloud environments.</li> <li>Experience with monitoring and logging tools such as Stackdriver, Prometheus, or Grafana.</li> <li>Excellent troubleshooting and problem-solving skills.</li> <li>Certification such as Google Cloud Professional Cloud Architect or Professional Cloud Engineer is preferred.</li> <li>Good communication skills and ability to work in a dynamic team environment.</li> </ul> <h4>Benefits</h4> <p>This is a 3-month, full-time onsite engagement offering a premium experience for the right consultant:</p> <ul> <li>Global mobility: full coverage of visa costs and airline tickets (round trip).</li> <li>Medical insurance.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>DeepSource Technologies is looking for a senior cloud infrastructure engineer specializing in Google Cloud Platform (GCP) to join our Riyadh, KSA team. In this senior role, you will design, implement, and manage scalable and secure cloud infrastructure solutions on GCP to support our dynamic business needs. You will collaborate closely with development, security, and operations teams to ensure high availability, performance, and cost-efficiency of cloud services.</p> <h4>Key responsibilities:</h4> <ul> <li>Design and implement GCP-based infrastructure solutions including compute, storage, networking, and security services.</li> <li>Manage and optimize cloud resources with a focus on performance, scalability, and cost.</li> <li>Lead infrastructure automation initiatives using Infrastructure as Code (IaC) tools like Terraform and Deployment Manager.</li> <li>Ensure compliance with security best practices and governance policies in cloud environments.</li> <li>Monitor cloud infrastructure and troubleshoot issues to maintain high uptime and reliability.</li> <li>Collaborate with DevOps and development teams to support CI/CD pipelines and cloud-native applications.</li> <li>Stay up-to-date with latest GCP technologies and provide recommendations for cloud adoption and improvement.</li> </ul> <h4>Requirements</h4> <ul> <li>5+ years of experience in cloud infrastructure engineering, specifically with Google Cloud Platform.</li> <li>Strong knowledge of GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud Networking, Cloud IAM, and BigQuery.</li> <li>Experience with Infrastructure as Code tools like Terraform, Deployment Manager, or similar.</li> <li>Proficient with containerization and orchestration technologies such as Docker and Kubernetes.</li> <li>Strong understanding of networking, security, and compliance in cloud environments.</li> <li>Experience with monitoring and logging tools such as Stackdriver, Prometheus, or Grafana.</li> <li>Excellent troubleshooting and problem-solving skills.</li> <li>Certification such as Google Cloud Professional Cloud Architect or Professional Cloud Engineer is preferred.</li> <li>Good communication skills and ability to work in a dynamic team environment.</li> </ul> <h4>Benefits</h4> <p>This is a 3-month, full-time onsite engagement offering a premium experience for the right consultant:</p> <ul> <li>Global mobility: full coverage of visa costs and airline tickets (round trip).</li> <li>Medical insurance.</li> </ul></p><p></p>

Job Purpose<p></p> <div> <p>The Senior PreSales Engineer IT Infrastructure Systems is responsible for end-to-end technical solutioning across enterprise compute, storage, hyperconverged infrastructure (HCI), virtualization, backup, disaster recovery, and hybrid cloud integration.</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> <strong><span>1. JOB DETAILS:</span></strong> <br> <span>Job Title:</span> <span>Analyst, ML Engineer </span> <br> <span>Reports to:</span> <span>Sr. Manager, IT Digital Platforms &amp; Digital Transformation</span> <br> <span>Department:</span> <span>IT Applications </span> <br> <span>Function:</span> <span>IT Applications</span> <br> <span>Company:</span> <span>Hikma Holding</span> <br> <strong><span>2. JOB PURPOSE:</span></strong> <br> </span><p><span>The ML Engineer is responsible for supporting the development, testing, and deployment of machine learning models and AI-powered pipelines across Hikma Pharmaceuticals. Working as part of the AI team under the Sr. Manager, IT Digital Platforms &amp; Digital Transformation, and under the close guidance of the AI Architect and AI developers’ team, this role provides hands-on ML engineering support across the solution lifecycle — from data preparation and model experimentation through to deployment and monitoring. The ML Engineer is expected to develop their machine learning and data engineering skills rapidly within a structured team environment, contributing to Hikma's enterprise AI transformation while building foundational expertise in regulated pharmaceutical AI delivery.</span></p><br> <br> <strong><span>3. JOB DIMENSIONS:</span></strong> <br> <p><span>Number of Staff Supervised:</span></p><br> <p><span>Direct Reports Count:</span></p><br> <p><span>0 (0 vacant)</span></p><br> <br> <p><span>Indirect Reports Count:</span></p><br> <p><span>N/A</span></p><br> <br> <p><span>Financial Budget (USD):</span></p><br> <p><span>Supports AI initiative delivery under team supervision</span></p><br> <br> <p><span>4. KEY ACCOUNTABILITIES:</span></p><br> <br> <p><span>Description</span></p><br> <br> <p><strong><span>ML Model Development &amp; Experimentation</span></strong></p><br> <br> <ul> <li><span>Support the development, training, and evaluation of machine learning models under the guidance of the AI Architect and senior team members, following approved architecture standards and initiative briefs</span></li> <li><span>Assist in ML experimentation activities including data exploration, feature engineering, model selection, and performance evaluation using standard frameworks and cloud AI services</span></li> <li><span>Apply foundational ML techniques across classical machine learning, NLP, and generative AI domains relevant to Hikma's business areas including Supply Chain, Quality, HR, and Commercial</span></li> <li><span>Support the implementation of LLM-based solutions including RAG pipelines, prompt engineering, and embedding-based retrieval under senior technical guidance</span></li> <li><span>Maintain experiment tracking logs, model versioning records, and reproducibility documentation using tools such as ML flow or Azure Machine Learning</span></li> <li><span>Produce clear and accurate model development artefacts including experiment summaries, performance reports, and model documentation</span></li> </ul> <br> <p><strong><span>Data Engineering &amp; Feature Development</span></strong></p><br> <br> <ul> <li><span>Assist in building and maintaining ML data pipelines covering data ingestion, transformation, validation, and basic feature engineering for model training and inference workflows</span></li> <li><span>Support data quality checks, anomaly detection, and dataset preparation activities to ensure ML model inputs meet required standards</span></li> <li><span>Collaborate with the Data &amp; Analytics team to access and understand available data assets, following data governance and privacy guidelines</span></li> <li><span>Work with structured data sources including relational databases and enterprise system extracts, developing proficiency in handling diverse data types over time</span></li> </ul> <br> <p><strong><span>ML-Ops &amp; Production Support</span></strong></p><br> <br> <ul> <li><span>Support the implementation and maintenance of ML-Ops pipeline components including model packaging, deployment, and basic performance monitoring under senior team guidance</span></li> <li><span>Assist in deploying ML models to cloud environments using approved tooling (Azure Machine Learning, ML-flow, Docker, or equivalent)</span></li> <li><span>Monitor deployed models for observable performance issues and flag anomalies to the AI Architect or senior team members for investigation</span></li> <li><span>Maintain accurate records in model registries including versioning and change logs across AI initiatives</span></li> <li><span>Contribute to the documentation and validation support activities for ML models deployed in GxP-regulated contexts, following defined compliance processes</span></li> </ul> <br> <p><strong><span>Quality Assurance &amp; Testing</span></strong></p><br> <br> <ul> <li><span>Support the development and execution of testing activities for ML solutions, including data, pipeline tests, model performance checks, and basic integration testing</span></li> <li><span>Actively participate in code reviews and technical walkthroughs, applying feedback to improve code quality and engineering practices</span></li> <li><span>Document assigned ML components clearly including data preparation steps, model configurations, test results, and known issues</span></li> <li><span>Identify and escalate technical issues encountered across the ML stack in a timely and structured manner</span></li> </ul> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>1&nbsp;&nbsp;BACKGROUND</p><p>Job Title:&nbsp;&nbsp;Technical Support Engineer&nbsp;</p><p>Location:&nbsp;&nbsp;Jordan-International</p><p>Reference ID:&nbsp;&nbsp;ST-JOB-20260715-TSE</p><p>Posting Date:&nbsp;&nbsp;July 15th, 2026</p><p>Resumes:&nbsp;&nbsp;Please visit Seethru.ai contact page.</p><p><br></p><p>1.1&nbsp;&nbsp;ABOUT SEETHRU AI</p><p>Seethru AI Inc. is a leading manufacturer of x-ray technology for cargo inspection, with headquarters near Boston—USA, and a global network of partners. The role posted herein is based in Jordan and supports the operations in Jordan and globally. Interested applicants are encouraged to email their resumes to our contact page at seethru.ai.</p><p><br></p><p>1.2&nbsp;&nbsp;ROLE DESCRIPTION</p><p>Technical Support Engineer, supporting operations in the factory and field preventive and corrective maintenance, installation, and training for Seethru AI x-ray inspection equipment. The role will be based in Jordan and support Seethru equipment worldwide.</p><p><br></p><p>1.3&nbsp;&nbsp;TRAVEL</p><p>This job requires 25% - 50% travel to support new or existing customers.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>2&nbsp;&nbsp;MINIMUM REQUIREMENTS</p><p>2.1&nbsp;&nbsp;EDUCATION</p><p>B.S. Engineering degree in Electrical, Mechanical, Industrial, Communications, or similar discipline.</p><p><br></p><p>2.2&nbsp;&nbsp;ENGLISH LANGUAGE PROFICIENCY</p><p>Proficient in English; reading, writing, and speaking.</p><p><br></p><p>2.3&nbsp;&nbsp;RESOURCFULL AND SELF-LEARNER</p><p>The successful candidate is not expected to have experience with similar technologies, hence Seethru will provide training. It is very important, however, for the successful candidate to be resourceful and able to find solutions for new problems unseen before.</p><p><br></p><p>2.4&nbsp;&nbsp;SKILLS</p><ol><li>ELECTRICAL: Theoretical understanding and physical handing of electrical circuits with Direct and Alternating Current (DC/AC), Power, Voltage, Current, and Wiring. Shall be able to debug electrical wiring diagrams and circuits.</li><li>MECHANICAL: Principles of Mechanical systems and related Physics including Power, Torque, and Heating and Cooling.</li><li>COMPUTER: Very good working knowledge of Microsoft Windows computers and networks, covering: (a) Operating system and Microsoft Office suite: Outlook, Word, Excel, and PowerPoint; (b) Good understanding of computer networks, with emphasis on TCP/IP v4, IP addresses, and subnets. Configuring WiFi and Ethernet LAN; (c) Good working knowledge with Windows Command Prompt.</li><li>COMMUNICATIONS: Excellent communication skills with Seethru team members, suppliers, and customers. Given the nature of the business, most communications shall be in English.</li><li>TEAM PLAY: Shall be a team player, treating fellow team members with mutual respect.</li><li>TRAINING: Shall be able to train customer on Seethru technologies in Jordan and abroad.</li></ol><p><br></p><p>3&nbsp;&nbsp;RELEVANT EXPERIENCE</p><p>Two (or more) years of relevant experience is highly desired but may be substituted with strong academic credentials and understanding of the required skills above.</p><p>3.1&nbsp;&nbsp;ADDITIONAL EXPERIENCE</p><p>Experience in these areas is not a must, but a strong plus: HVAC, Induction Motors and Motor Drive Controllers, Control Systems, Serial Communications (RS485, RS232, Modbus), PLCs, Teaching, and CCTV Camera Systems.</p><p><br></p><p>4&nbsp;&nbsp;COMPENSATION</p><p>We offer competitive compensation packages, which will be determined based on skills and experience.</p><p><br></p><p>5&nbsp;&nbsp;JOB DUTIES</p><p>As a Technical Support Engineer, travel inside or outside Jordan is expected to support customers. The job duties include the following:</p><ol><li>Support the operations activities in Jordan including Electrical, Mechanical, and Software.</li><li>Respond to customer technical inquires, support diagnostic and resolution of customer technical issues. Support may be performed remotely or may require travel to customer sites.</li><li>Support installation and commissioning of equipment at customer sites.</li><li>Provide technical training to customers on the operation and maintenance of equipment.</li><li>Perform Factory and Site Acceptance Tests (FAT/SAT).</li></ol></div>

<p><h4>Description</h4> <p>The forward deployed AI engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.</p> <p>The work is hands-on and client-facing:</p> <ul> <li>Understand operational workflows and convert them into technical artifacts.</li> <li>Connect to real enterprise systems and data sources.</li> <li>Build context-aware AI agents, retrieval systems, and automation prototypes.</li> <li>Help move the best prototypes toward reliable production deployments.</li> </ul> <h4>Requirements</h4> <p>Build context graphs. Help ingest, clean, structure, and connect data from enterprise systems into context graphs. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.</p> <p>Develop AI and agentic workflows. Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.</p> <p>Connect to enterprise systems. Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.</p> <p>Prototype automation opportunities. Rapidly build proof-of-concepts that show how AI can improve a client's operations – for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.</p> <p>Turn messy business problems into software. Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.</p> <p>Support production deployments. Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.</p> <h4>Ideal candidate</h4> <p>We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.</p> <p>You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.</p> <h4>Technical background</h4> <ul> <li>Strong Python fundamentals.</li> <li>Basic backend development experience.</li> <li>Familiarity with APIs, databases, and cloud services.</li> <li>Interest in LLMs, agents, retrieval, structured outputs, and tool-calling.</li> <li>Familiarity with data pipelines and messy real-world datasets.</li> <li>Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus.</li> <li>AWS experience is a plus.</li> <li>Experience with enterprise data, analytics, or workflow automation is a strong plus.</li> </ul> <h4>What makes someone successful in this role</h4> <ul> <li>You like figuring out how businesses actually operate.</li> <li>You are comfortable working with incomplete, messy, or poorly documented data.</li> <li>You can move quickly from vague requirements to a working prototype.</li> <li>You care about building useful systems, not just impressive demos.</li> <li>You communicate clearly with both engineers and non-technical stakeholders.</li> <li>You are curious about how AI agents can interact with real tools, data, and workflows.</li> <li>You want to learn how to deploy AI into real enterprise environments.</li> </ul> <h4>Why this role is interesting</h4> <p>You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.</p> <p>This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software.</p></p><p></p>

<p><h4>Description</h4> <p>The forward deployed AI engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.</p> <p>The work is hands-on and client-facing:</p> <ul> <li>Understand operational workflows and convert them into technical artifacts.</li> <li>Connect to real enterprise systems and data sources.</li> <li>Build context-aware AI agents, retrieval systems, and automation prototypes.</li> <li>Help move the best prototypes toward reliable production deployments.</li> </ul> <h4>Requirements</h4> <p>Build context graphs. Help ingest, clean, structure, and connect data from enterprise systems into context graphs. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.</p> <p>Develop AI and agentic workflows. Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.</p> <p>Connect to enterprise systems. Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.</p> <p>Prototype automation opportunities. Rapidly build proof-of-concepts that show how AI can improve a client's operations – for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.</p> <p>Turn messy business problems into software. Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.</p> <p>Support production deployments. Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.</p> <h4>Ideal candidate</h4> <p>We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.</p> <p>You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.</p> <h4>Technical background</h4> <ul> <li>Strong Python fundamentals.</li> <li>Basic backend development experience.</li> <li>Familiarity with APIs, databases, and cloud services.</li> <li>Interest in LLMs, agents, retrieval, structured outputs, and tool-calling.</li> <li>Familiarity with data pipelines and messy real-world datasets.</li> <li>Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus.</li> <li>AWS experience is a plus.</li> <li>Experience with enterprise data, analytics, or workflow automation is a strong plus.</li> </ul> <h4>What makes someone successful in this role</h4> <ul> <li>You like figuring out how businesses actually operate.</li> <li>You are comfortable working with incomplete, messy, or poorly documented data.</li> <li>You can move quickly from vague requirements to a working prototype.</li> <li>You care about building useful systems, not just impressive demos.</li> <li>You communicate clearly with both engineers and non-technical stakeholders.</li> <li>You are curious about how AI agents can interact with real tools, data, and workflows.</li> <li>You want to learn how to deploy AI into real enterprise environments.</li> </ul> <h4>Why this role is interesting</h4> <p>You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.</p> <p>This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software.</p></p><p></p>

<p>Job Description We are seeking a talented and motivated Senior Mechanical Engineer to join our team in Amman, Jordan. In this role, you will take the lead on mechanical engineering design tasks, deliver high-quality technical solutions, mentor junior engineers, and collaborate closely with multidisciplinary teams to ensure the successful delivery of engineering projects. This is a key technical delivery role for an engineer ready to work with a high degree of independence and take ownership of design outcomes. Key Responsibilities Lead and deliver the mechanical design of projects from concept through detailed design and construction support. Implement mechanical engineering methodologies, standards, and best practices across assigned projects. Perform and check engineering calculations, technical analyses, and system evaluations to optimize performance, reliability, and cost-effectiveness. Prepare, review, and coordinate mechanical design drawings, specifications, schedules, and technical reports. Collaborate with multidisciplinary teams to develop integrated solutions and resolve design interfaces. Ensure all designs comply with applicable codes, standards, client requirements, and company quality procedures. Identify technical issues, evaluate alternatives, and develop practical, innovative engineering solutions. Support project planning activities and monitor progress against schedules, deliverables, and quality standards. Coordinate with clients, contractors, vendors, and project stakeholders as required. Provide technical guidance, mentoring, and support to graduate and junior engineers. Participate in design reviews, value engineering studies, and quality assurance/quality control processes. Contribute to continuous improvement initiatives and knowledge-sharing within the engineering team. Stay current with industry trends, emerging technologies, sustainability practices, and digital engineering tools.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications Bachelor's Degree in Mechanical Engineering (Master's degree an advantage). 6 8 years of relevant mechanical engineering experience, with demonstrated ability to lead the mechanical design of projects independently and coordinate across disciplines. Sound working knowledge of relevant international codes and standards. Proven experience in the design and delivery of multidisciplinary engineering projects. Strong analytical, technical, and problem-solving skills. Excellent communication, coordination, and teamwork abilities. Proficiency in industry-standard engineering and design software. Professional registration or working towards chartership/professional membership is an advantage.</p>

<p>We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what s next to power infinite possibilities for our customers, colleagues and society at large.</p><p>About the Role:</p><p>The Senior Software Engineer transforms high-level architecture into detailed technical solutions while building scalable, high-performing applications that enhance customer learning and engagement experiences. Operating across critical areas of the technology stack, this role is responsible for designing, developing, testing, and releasing software solutions that deliver business value and exceptional customer outcomes. Working independently with minimal guidance, the Senior Software Engineer takes ownership of services, systems, and technical responsibilities, applying a full-stack, full-lifecycle approach to software delivery. This role also provides technical leadership, mentors team members, and contributes to the continuous improvement of engineering practices and technologies.</p><p>How You Will Make an Impact</p><p>Application Design &amp; Development</p><ul><li>Design, develop, and release scalable applications and systems that improve customer learning and engagement experiences.</li><li>Translate high-level architectural concepts into detailed technical designs that are clearly understood and implemented by development teams.</li><li>Build robust, maintainable software solutions that support business objectives and customer needs.</li></ul><p>Technical Leadership</p><ul><li>Serve as a technical leader within the engineering team, providing guidance on design decisions, architecture, and development best practices.</li><li>Mentor and coach junior engineers, helping to elevate technical capabilities across the team.</li><li>Drive technical excellence through knowledge sharing, collaboration, and continuous improvement initiatives.</li></ul><p>System Ownership &amp; Delivery</p><ul><li>Take ownership of services and systems throughout the entire software development lifecycle.</li><li>Partner with cross-functional teams to design, build, deploy, monitor, and support solutions in production environments.</li><li>Evaluate, recommend, and implement technologies that improve scalability, reliability, and maintainability.</li></ul><p>Code Quality &amp; Engineering Excellence</p><ul><li>Establish and maintain code repository structures, branching strategies, and development standards.</li><li>Conduct thorough code reviews and champion clean, maintainable, and high-quality code.</li><li>Promote engineering best practices including test-driven development, automated testing, continuous integration, and continuous deployment.</li></ul><p>Cross-Functional Collaboration</p><ul><li>Collaborate closely with Product, Data Engineering, Data Science, Site Reliability Engineering (SRE), and other specialized teams.</li><li>Contribute effectively within multidisciplinary Agile teams to deliver business and customer value.</li><li>Communicate technical concepts clearly to both technical and non-technical stakeholders.</li></ul><p>Innovation &amp; Continuous Improvement</p><ul><li>Drive innovation by exploring and implementing new tools, technologies, and engineering approaches.</li><li>Lead technical initiatives that improve platform performance, scalability, and customer experience.</li><li>Contribute to strategic technology decisions that support long-term business objectives.</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>What We Look For</h2><p>Required Qualifications</p><ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.</li><li>6+ years of professional software development experience.</li><li>Proven experience serving as a technical lead or senior engineer within a software engineering team.</li><li>Strong proficiency in C#/.NET development.</li><li>Expert understanding of object-oriented design principles, software architecture, and system design.</li><li>Experience building and consuming web APIs and microservices-based architectures.</li><li>Experience working with cloud-based services and containerization technologies such as Docker.</li><li>Strong knowledge of relational and/or non-relational database technologies.</li><li>Experience with Agile software development methodologies and DevOps practices.</li><li>Hands-on experience with continuous integration and continuous deployment (CI/CD) pipelines.</li><li>Experience with automated testing and test-driven development (TDD).</li><li>Excellent written and verbal communication skills.</li><li>Demonstrated ability to work independently while collaborating effectively within cross-functional teams.</li></ul><p>Preferred Qualifications</p><ul><li>Experience working within multidisciplinary product and engineering organizations.</li><li>Knowledge of modern cloud-native application architectures.</li><li>Experience supporting large-scale, customer-facing applications.</li><li>Track record of successfully leading technical initiatives and driving engineering innovation.</li><li>Passion for mentoring and developing engineering talent</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><span ><b>About the Job</b></span></div><div><span >Hiring Events is a live production product that receives a high volume of support requests from clients, often related to malfunctioning or misconfigured features. The team plays a critical role in diagnosing, triaging, and resolving these issues—particularly with in-progress hiring events that are not functioning as expected. This involves debugging issues across systems, collaborating closely with the Client Support and GTM teams, and maintaining high client satisfaction, measured in part by user ratings.</span></div><div><span ><br></span></div><div><span ><b>What You'll Do</b></span></div><div><span >Analyze and resolve production issues, especially related to ongoing hiring events.</span></div><div><span ><br></span></div><div><span >Work closely with client-facing teams to address and triage support tickets.</span></div><div><span ><br></span></div><div><span >Ensure timely resolution of issues to meet established SLAs.</span></div><div><span ><br></span></div><div><span >Monitor production systems; respond swiftly to alerts or degradation in performance ("going red").</span></div><div><span ><br></span></div><div><span >Support architecture changes and system integrations that may impact hiring events.</span></div><div><span ><br></span></div><div><span >Maintain and update event logic in response to changes in dependencies and systems.</span></div><div><span ><br></span></div><div><span ><br></span></div><div><span ><b>Requirements</b></span></div><div><span >​</span></div><div><span >Must Have &gt; 7+ yrs</span></div><div><span ><br></span></div><div><span >1st Priority: Java/Springboot (Event Management Backend, Lobby Backend) – Primary</span></div><div><span ><br></span></div><div><span >2nd Priority: Django/Python (Event Management Backend, Lobby Backend) – Secondary</span></div><div><span ><br></span></div><div><span >React (Event Management Frontend, Lobby Frontend, IRL Frontend, Jobseeker Frontend)</span></div><div><span ><br></span></div><div><span >Kafka (Event Management Backend)</span></div><div><span ><br></span></div><div><span >GraphQL (Event Management Backend, Lobby Backend)</span></div><div><span ><br></span></div><div><span >SQL or MongoDB (Event Management Backend, Lobby Backend)</span></div><div><span ><br></span></div><div><span >Build and deployment experience</span></div><div><span ><br></span></div><div><span >Senior-level engineer capable of ramping up quickly and assuming ownership over multiple projects</span></div><div><span ><br></span></div><div><span >High level of ownership and autonomy</span></div><div><span ><br></span></div><div><span >Experience with at least one of the following: Dagster, Data Lakes, or Amazon Athena</span></div><div><span ><br></span></div><div><span >Nice to Have</span></div><div><span ><br></span></div><div><span >Product Manager experience working with GTM teams and engineers to help with prioritization</span></div><div><span ><br></span></div><div><span >Experience with AI-assisted development tools: Claude, Cursor, Windsurf</span></div><div><span ><br></span></div><div><span >Soft Skills Required</span></div><div><span ><br></span></div><div><span >Work independently and autonomously</span></div><div><span ><br></span></div><div><span >Take initiative rather than waiting for instructions; own merging and deploying code without "hand holding"</span></div><div><span ><br></span></div><div><span >Leadership and shepherding – ability to lead, shepherd, and onboard other engineers</span></div><div><span ><br></span></div><div><span >Clear and concise communication</span></div><div><span ><br></span></div><div><span >Handle ambiguity</span></div><div><span ><br></span></div><div><span >Prioritization and strategic thinking</span></div><div><span ><br></span></div><div><span >Use data to troubleshoot production issues</span></div></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Responsibilities:</b></p><p>Key Responsibilities</p><ul><li>Troubleshoot and repair machines</li><li>Reduce downtime of machines to support production demand</li><li>Design, engineer, and fabricate machine parts as required</li><li>Perform preventative maintenance on machines as scheduled</li><li>Meet with production leads and supervisors regarding operation of machines</li></ul><p>Additional Responsibilities</p><ul><li>Basic PLC knowledge and troubleshooting</li><li>Assist in the maintenance and repair production equipment s</li><li>Perform routine maintenance functions and adjustments to equipment s</li><li>Responsible for shop cleanliness, safety and compliance</li><li>Follow Health, Safety, Environmental, Quality and Lean standards</li></ul><p>Interactions:</p><p>All functional areas of Production</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>High School diploma or equivalent level of education required</li><li>5+ years of machine repair experience in Production setting</li><li>Prior experience performing preventative Maintenance on machines</li><li>Electrical experience</li><li>Pneumatic experience</li><li>Prior experience effectively trouble-shooting automation equipment</li></ul><p>Specific knowledge</p><ul><li>Mechanical aptitude</li><li>Basic PLC knowledge and troubleshooting</li><li>Lift objects of various shapes, sizes and weights</li><li>Excellent listening skills and ability to follow instructions as well as provide directions on step-by-step repair process</li><li>Motivated, organized, eager to learn and possess a positive attitude toward the job</li></ul><p>Specific competencies</p><ul><li>Motivated individuals who want to work and will show up to their scheduled shifts on time and excited and ready to work</li><li>High level of accuracy and attention to detail</li><li>Priorities setting capabilities, time management and flexibility</li><li>Trouble shooting and learning</li><li>Strong communication skills</li></ul><p></p></section>