Food industries engineer Jobs

<p>GovCIO is currently hiring for an Information Assurance Engineer to participate with the client in the strategic design process to translate security and business requirements into technical designs. This position will be located in Jordan and will be fully onsite position.</p><p>Designs and implements information assurance and security engineering systems with requirements of business continuity, operations security, cryptography, forensics, regulatory compliance, internal counter-espionage (insider threat detection and mitigation), physical security analysis (including facilities analysis, and security management). Assesses and mitigates system security threats and risks throughout the program life cycle. Validates system security requirements definition and analysis. Establishes system security designs. Implements security designs in hardware, software, data, and procedures. Verifies security requirements; performs system certification and accreditation planning and testing and liaison activities. Supports secure systems operations and maintenance. Participates with the client in the strategic design process to translate security and business requirements into technical designs. Configures and validates secure systems and tests security products and systems to detect security weakness; performs network scanning and vulnerability analysis. Ensures that the appropriate security features and safeguards have been implemented on all information systems as required by DoD/IC policy and directives, and industry best practices. Performs defense device system installation, configuration maintenance, account maintenance, signature maintenance, patch management, and troubleshooting of all implemented, maintained, and deployed systems. Provides security certification test and evaluation of assets, vulnerability management and response, security assessments, customer support and provides guidance on security issues.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>High School with 9+ years (or commensurate experience)</li><li>Clearance Required: TS/SCI</li><li>State-accredited Professional Engineer (PE) license through the National Council of Examiners for Engineering and Surveying (NCEES)</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a skilled AI Engineer to join our innovative team in Amman, Jordan. This role is pivotal in harnessing cutting-edge technology to develop intelligent agents that enhance user interaction and automate processes. As an AI Engineer, you will be at the forefront of designing and implementing AI solutions that drive efficiency and create value across various applications. Your contributions will play a significant role in shaping the future of our technology landscape.</p><p>Our company fosters a culture of collaboration and continuous learning, providing you with ample opportunities for professional growth. You will work alongside a diverse group of talented individuals who are passionate about technology and innovation. We believe in empowering our team members through training and development initiatives, ensuring you have the resources to advance your skills and career. As you progress in this role, you will have the chance to take on leadership responsibilities and influence key projects that align with our strategic vision.</p><p>In this dynamic environment, you will not only enhance your technical expertise but also develop critical soft skills such as teamwork, communication, and problem-solving. As an AI Engineer, your work will have a direct impact on our business objectives, making this a rewarding opportunity for those who are eager to make a difference. Join us to be part of a forward-thinking company where your ideas are valued, and your career can flourish.</p><p><b>Responsibilities:</b></p><ol><li>Design and develop AI-driven solutions to enhance user interactions, utilizing machine learning algorithms and natural language processing techniques to improve accuracy and efficiency in real-time applications.</li><li>Collaborate with cross-functional teams to gather requirements and translate business needs into technical specifications, ensuring alignment between AI initiatives and overall company objectives.</li><li>Conduct thorough testing and validation of AI models to ensure reliability and performance, employing tools such as TensorFlow and PyTorch to optimize algorithms for various use cases.</li><li>Monitor and analyze AI system performance, utilizing data analytics to identify areas for improvement and implementing enhancements that drive better outcomes for users.</li><li>Document AI processes and workflows clearly and comprehensively, ensuring that knowledge is shared across the team and facilitating easier onboarding for new engineers.</li><li>Stay updated with the latest advancements in AI technologies and methodologies, actively participating in workshops and conferences to bring fresh insights into the team.</li><li>Mentor junior engineers and interns, providing guidance and support to foster their growth and development within the organization.</li><li>Implement best practices in AI development and deployment, ensuring compliance with industry standards and ethical considerations in all AI-related projects.</li><li>Engage with stakeholders to present findings and recommendations based on AI insights, effectively communicating complex technical concepts to non-technical audiences.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in machine learning frameworks such as TensorFlow and PyTorch to develop robust AI models.</li><li>Strong programming skills in languages like Python and Java, essential for building scalable AI applications.</li><li>Experience with natural language processing techniques to enhance user interaction and automate responses.</li><li>Solid understanding of data structures and algorithms to optimize performance and efficiency in AI systems.</li><li>Ability to analyze large datasets and derive actionable insights using data analytics tools.</li><li>Excellent problem-solving skills, enabling you to tackle complex challenges in AI development.</li><li>Strong communication skills to effectively collaborate with cross-functional teams and present technical information to stakeholders.</li></ul></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>We are seeking a talented Machine Learning Engineer to join our data science team. The ideal candidate will be responsible for developing and implementing machine learning models and algorithms that solve complex business problems. You will work closely with data scientists, software engineers, and stakeholders to deliver scalable solutions.</p><ul><li>Design, build, and deploy machine learning models and algorithms.</li><li>Collaborate with data scientists to refine data features and enhance model performance.</li><li>Optimize and improve existing machine learning models for efficiency and accuracy.</li><li>Conduct data preprocessing, feature engineering, and data analysis.</li><li>Monitor and maintain models in production to ensure they operate effectively.</li><li>Document and communicate model designs and performance metrics to stakeholders.</li><li>Stay updated on the latest industry trends and advancements in machine learning and AI.</li><li>Participate in code reviews and contribute to a culture of continuous improvement.</li><li>Perform statistical analysis, and train and retrain systems to optimize performance.</li><li>Familiarity with version control systems (e.g., Git) and CI/CD practices.</li><li>Experience with AI/GenAI.</li><li>Experience with AWS data services (e.g., AWS EMR, AWS Glue, AWS Athena).</li><li>Design/build and deploy API services.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.</li><li>Proven experience as a Machine Learning Engineer or in a similar role.</li><li>Proficiency in programming languages such as Python.</li><li>Experience with machine learning frameworks and libraries (e.g.,AWS BedRock, Amazon SageMaker, TensorFlow, PyTorch, Scikit-learn).</li><li>Strong understanding of algorithms, data structures, and software engineering principles.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and tools for deploying machine learning models.</li><li>Knowledge of data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).</li><li>Excellent problem-solving skills and ability to work collaboratively in a team environment.</li><li>Experience with deep learning and natural language processing (NLP) techniques.</li><li>Understanding of model interpretability and explainability.</li></ul>

<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>

<p><h4>Deloitte overview<\/h4>\n<p>Deloitte, established globally in 1845, is the world\u2019s largest and leading professional services firm, providing audit and assurance, tax, consulting, financial advisory, and risk advisory services to public and private clients spanning multiple industries. We are present in more than 150 countries, and as the world's largest management consulting business, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.<\/p>\n<p>Deloitte has a proud legacy in the Middle East region, with an uninterrupted presence since 1926, and is present across 23 offices in 15 countries with 7,000+ professionals in the Levant region and the wider GCC.<\/p>\n<p>We have served as trusted advisors for clients for almost 100 years and contributed to the advancements and growth of the professional services industry in the region.<\/p>\n<p>We have received numerous awards in the last few years, such as Brand Finance\u2019s strongest and most valuable \"commercial services\" brand in the world for the 6th consecutive year (2024), the Great Place to Work\u00ae and Best Workplaces\u2122 in the UAE (2022-2023), the Great Place to Work\u00ae and Best Workplaces\u2122 in the KSA (2022-2023), \"World\u2019s Most Attractive Employers\" (2023), the Middle East Tax Firm of the Year (2023). These awards are a recognition of how Deloitte makes an impact that matters to its clients, talent, and society.<\/p>\n<p>We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.<\/p>\n\n<h4>Role overview: Business Analyst in M&A \u2013 Corporate Finance<\/h4>\n<p>During your tenure as a Business Analyst in M&A \u2013 Corporate Finance, you will demonstrate and develop your capabilities in the following areas:<\/p>\n<ul>\n<li>Research key industry trends, company specific information and relevant industry financial data using various databases and tools available<\/li>\n<li>Assist with building financial models to support clients with decision making and negotiations<\/li>\n<li>Develop and analyse financial forecasts to estimate business valuation using different methodologies such as comparable companies, DCF and transaction multiples analysis and conduct sensitivity and scenario analysis<\/li>\n<li>Analyse financial and other data using different tools and techniques for data visualization and industry research to help create insights<\/li>\n<li>Assist with preparation of transaction collaterals such as teaser, information memorandum, etc.<\/li>\n<li>Evaluate company\u2019s operational and financial performance, financial position and capital structure<\/li>\n<li>Understand the company\u2019s business fundamentals, industry positioning and growth prospects<\/li>\n<li>Assist senior team members with project management and coordinating multiple stakeholders across the transaction lifecycle<\/li>\n<\/ul>\n\n<h4>Leadership capabilities<\/h4>\n<ul>\n<li>Builds own understanding of our purpose and values; explores opportunities for impact<\/li>\n<li>Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent<\/li>\n<li>Understands expectations and demonstrates personal accountability for keeping performance on track<\/li>\n<li>Actively focuses on developing effective communication and relationship-building skills<\/li>\n<li>Understands how their daily work contributes to the priorities of the team and the business<\/li>\n<\/ul>\n\n<h4>Qualifications<\/h4>\n<ul>\n<li>Bachelor\u2019s degree in finance, accounting or any related field \u2013 e.g. Maths, Engineering, Finance, Economics, Business Administration<\/li>\n<li>ACA or ACCA or CFA or MBA or equivalent, with emphasis on corporate finance, or investment analysis is a plus<\/li>\n<li>Up to 2 years of experience in Corporate Finance, M&A Advisory or Investment Banking \/ Private Equity with experience in areas such as business valuations, mergers & acquisitions, financial modeling, and raising debt or equity<\/li>\n<li>Willingness to pursue a financial or accounting designations (CFA \/ ACCA \/ CA)<\/li>\n<li>Willing and able to travel and spend project time regionally<\/li>\n<li>Strong interpersonal and communication skills<\/li>\n<li>Advanced level of technical proficiency and computer literacy particularly with spreadsheets (Word, Excel, PowerPoint)<\/li>\n<li>Excellent business writing skills<\/li>\n<li>Bilinguals (English & Arabic) preferred<\/li>\n<\/ul><\/p><p><\/p>

<p><h4>Deloitte overview<\/h4>\n<p>Deloitte, established globally in 1845, is the world\u2019s largest and leading professional services firm, providing audit and assurance, tax, consulting, financial advisory, and risk advisory services to public and private clients spanning multiple industries. We are present in more than 150 countries, and as the world's largest management consulting business, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.<\/p>\n<p>Deloitte has a proud legacy in the Middle East region, with an uninterrupted presence since 1926, and is present across 23 offices in 15 countries with 7,000+ professionals in the Levant region and the wider GCC.<\/p>\n<p>We have served as trusted advisors for clients for almost 100 years and contributed to the advancements and growth of the professional services industry in the region.<\/p>\n<p>We have received numerous awards in the last few years, such as Brand Finance\u2019s strongest and most valuable \"commercial services\" brand in the world for the 6th consecutive year (2024), the Great Place to Work\u00ae and Best Workplaces\u2122 in the UAE (2022-2023), the Great Place to Work\u00ae and Best Workplaces\u2122 in the KSA (2022-2023), \"World\u2019s Most Attractive Employers\" (2023), the Middle East Tax Firm of the Year (2023). These awards are a recognition of how Deloitte makes an impact that matters to its clients, talent, and society.<\/p>\n<p>We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.<\/p>\n\n<h4>Role overview: Business Analyst in M&A \u2013 Corporate Finance<\/h4>\n<p>During your tenure as a Business Analyst in M&A \u2013 Corporate Finance, you will demonstrate and develop your capabilities in the following areas:<\/p>\n<ul>\n<li>Research key industry trends, company specific information and relevant industry financial data using various databases and tools available<\/li>\n<li>Assist with building financial models to support clients with decision making and negotiations<\/li>\n<li>Develop and analyse financial forecasts to estimate business valuation using different methodologies such as comparable companies, DCF and transaction multiples analysis and conduct sensitivity and scenario analysis<\/li>\n<li>Analyse financial and other data using different tools and techniques for data visualization and industry research to help create insights<\/li>\n<li>Assist with preparation of transaction collaterals such as teaser, information memorandum, etc.<\/li>\n<li>Evaluate company\u2019s operational and financial performance, financial position and capital structure<\/li>\n<li>Understand the company\u2019s business fundamentals, industry positioning and growth prospects<\/li>\n<li>Assist senior team members with project management and coordinating multiple stakeholders across the transaction lifecycle<\/li>\n<\/ul>\n\n<h4>Leadership capabilities<\/h4>\n<ul>\n<li>Builds own understanding of our purpose and values; explores opportunities for impact<\/li>\n<li>Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent<\/li>\n<li>Understands expectations and demonstrates personal accountability for keeping performance on track<\/li>\n<li>Actively focuses on developing effective communication and relationship-building skills<\/li>\n<li>Understands how their daily work contributes to the priorities of the team and the business<\/li>\n<\/ul>\n\n<h4>Qualifications<\/h4>\n<ul>\n<li>Bachelor\u2019s degree in finance, accounting or any related field \u2013 e.g. Maths, Engineering, Finance, Economics, Business Administration<\/li>\n<li>ACA or ACCA or CFA or MBA or equivalent, with emphasis on corporate finance, or investment analysis is a plus<\/li>\n<li>Up to 2 years of experience in Corporate Finance, M&A Advisory or Investment Banking \/ Private Equity with experience in areas such as business valuations, mergers & acquisitions, financial modeling, and raising debt or equity<\/li>\n<li>Willingness to pursue a financial or accounting designations (CFA \/ ACCA \/ CA)<\/li>\n<li>Willing and able to travel and spend project time regionally<\/li>\n<li>Strong interpersonal and communication skills<\/li>\n<li>Advanced level of technical proficiency and computer literacy particularly with spreadsheets (Word, Excel, PowerPoint)<\/li>\n<li>Excellent business writing skills<\/li>\n<li>Bilinguals (English & Arabic) preferred<\/li>\n<\/ul><\/p><p><\/p>

<p><br></p><p><br></p><p>We are seeking a qualified <b>Architectural Engineer</b> to join our project team for a high-end construction / fit-out project.</p>

<p><b>Sr. Product Engineer</b></p><p><br></p><p>Lead technical initiatives and mentor the engineering team. Own key systems end-to-end and drive architectural decisions.</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>

<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>MID Contracting Company is looking for a talented Senior Procurement Civil Engineer to join the team, to lead end-to-end sourcing for civil packages.</p>

<p>MID Contracting Company is looking for a talented Senior Procurement Civil Engineer to join the team, to lead end-to-end sourcing for civil packages.</p>

<p><b>Product Engineer</b></p><p><br></p><p>Build and ship features that help thousands of salons run their business. Work across the full stack with a small, fast-moving team.</p>

<p>MID Contracting Company is seeking a skilled BIM MEP Engineer to join our construction team. This role focuses primarily on BIM-based MEP modeling, coordination, and technical support within a contracting environment.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for Expert Storage Administrators with strong hands-on experience managing S3 and NFS storage platforms within high-performance computing (HPC) environments.<br> The role is responsible for ensuring high availability, performance, scalability, capacity, and secure data access across storage infrastructure.<br> Key Responsibilities Administer, configure, and support S3 and NFS storage platforms .<br> Monitor and optimize storage performance, capacity, availability, and scalability .<br> Manage storage access, permissions, quotas, replication, and data protection .<br> Troubleshoot storage, filesystem, and data-access issues across HPC environments.<br> Support storage integration with Linux, Kubernetes, and HPC workloads .<br> Perform storage health monitoring, performance analysis, and capacity planning.<br> Support data replication, backup, recovery, and protection mechanisms.<br> Automate routine storage administration and maintenance activities where applicable.<br> Participate in incident resolution and root-cause analysis for storage-related issues.<br> Maintain technical documentation, configurations, and operational procedures.<br> Strong hands-on experience as a Storage Administrator / Storage Engineer .<br> Expert-level S3 and NFS administration is mandatory.<br> Experience supporting HPC storage environments .<br> Strong knowledge of Linux storage and filesystem administration .<br> Experience integrating storage with Kubernetes/containerized workloads .<br> Strong understanding of: S3 / Object Storage NFS Storage performance &amp; monitoring Capacity management Permissions &amp; access control Quotas Replication Data protection High availability Experience troubleshooting complex storage and data-access issues .<br> Experience with storage automation/scripting is preferred.<br> Relevant storage certifications are preferred.<br></span> </div>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>