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<p>POSITION SUMMARY Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered. Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.</p><p><strong>Desired Candidate Profile</strong></p><p>Education: No high school diploma or G.E.D. equivalent.</p><p>Related Work Experience: No related work experience.</p><p>Supervisory Experience: No supervisory experience.</p><p>License or Certification: None</p>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/LangGraph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, LangGraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p>About the Role As a Data Scientist at Aspire, you will be responsible for building and maintaining production machine learning solutions in a cloud environment. This role focuses on developing scalable ML models, collaborating with cross-functional teams, and supporting data-driven decision making across the organization. You will work within US time zones (PST to EST) and operate in a remote-first, distributed team environment.</p><p><b>What You'll Do</b></p><ul><li>Develop, deploy, and maintain production machine learning models.</li><li>Perform exploratory data analysis and feature engineering to extract actionable insights.</li><li>Build and improve data pipelines that support ML workflows and automation.</li><li>Collaborate with engineering and business stakeholders to deliver scalable ML solutions.</li><li>Contribute to AI/LLM-based capabilities where applicable to enhance product offerings.</li><li>Monitor and optimize model performance in production environments (not only notebook-based development).</li><li>Document all procedures, configurations, and changes in a clear, auditable manner.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>What You'll Need</p><ul><li>2+ years of experience building and maintaining production machine learning models.</li><li>Strong Python programming skills.</li><li>Experience with AWS SageMaker or another enterprise ML platform (e.g., Vertex AI or Azure ML) supporting production ML pipelines.</li><li>Experience deploying and monitoring ML models in production (not only notebook-based development).</li><li>Advanced SQL.</li><li>Git/version control.</li><li>Ability to work independently in production environments.</li><li>Experience with MLOps tools (MLflow, Airflow, dbt, or similar).</li><li>Snowflake.</li><li>Marketing, growth, experimentation, or causal inference experience.</li><li>Experience with LLMs or AI agents.</li><li>Agile development practices.</li><li>Experience building scalable ML solutions in enterprise environments.</li><li>Familiarity with cloud-based ML platforms and production deployment best practices.</li><li>Strong communication skills and ability to work with cross-functional teams.</li><li>Familiarity with US time zones (PST to EST) and remote collaboration workflows.</li></ul>

<p><h4>Description</h4> <p>BlackStone eIT is seeking an experienced and visionary AI team lead to oversee and guide our artificial intelligence initiatives. As the AI team lead, you will be responsible for leading a team of AI engineers and data scientists to develop innovative AI solutions that drive business growth and enhance user experiences. You will collaborate with cross-functional stakeholders to design and implement cutting-edge AI technologies and ensure successful project delivery.</p> <h4>Key responsibilities:</h4> <ul> <li>Lead, mentor, and manage a team of AI engineers and data scientists.</li> <li>Design and develop scalable AI models and algorithms tailored to business needs.</li> <li>Collaborate with product managers, software developers, and business stakeholders to define AI project requirements.</li> <li>Ensure rigorous testing, validation, and deployment of AI solutions.</li> <li>Stay current with the latest advancements in AI, machine learning, and data science technologies.</li> <li>Establish best practices and standards for AI development within the team.</li> <li>Identify opportunities for AI integration to improve products and services.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s or master’s degree in computer science, artificial intelligence, data science, or related field.</li> <li>At least 8 years of experience in AI, machine learning, or data science roles.</li> <li>Proven leadership experience managing technical teams.</li> <li>Strong proficiency in programming languages such as Python, R, or Java.</li> <li>Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.</li> <li>Solid understanding of data processing, feature engineering, and statistical modeling.</li> <li>Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployment.</li> <li>Excellent problem-solving, analytical, and communication skills.</li> <li>Ability to translate complex AI concepts into actionable business solutions.</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<div> <p> <strong>POSITION SUMMARY</strong> </p> <p> </p> <p>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.</p> <p> </p> <p>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.</p> <p> </p> <p>PREFERRED QUALIFICATIONS</p> <p>Education: No high school diploma or G.E.D. equivalent.</p> <p>Related Work Experience: No related work experience.</p> <p>Supervisory Experience: No supervisory experience.</p> <p>License or Certification: None</p> <p> </p> <p> </p> </div> <div> </div> <p><br></p>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, Lang Graph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p> <strong>POSITION SUMMARY</strong> </p> <p> </p> <p>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.</p> <p> </p> <p>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.</p><p><strong>Desired Candidate Profile</strong></p><p>PREFERRED QUALIFICATIONS</p> <p>Education: No high school diploma or G.E.D. equivalent.</p> <p>Related Work Experience: No related work experience.</p> <p>Supervisory Experience: No supervisory experience.</p> <p>License or Certification: None</p>

<p>POSITION SUMMARY Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered. Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.</p><p><strong>Desired Candidate Profile</strong></p><p>Education: No high school diploma or G.E.D. equivalent. Related Work Experience: No related work experience. Supervisory Experience: No supervisory experience. License or Certification: None</p>

<p>POSITION SUMMARY Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered. Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.</p><p><strong>Desired Candidate Profile</strong></p><p>Education: No high school diploma or G.E.D. equivalent.</p><p>Related Work Experience: No related work experience.</p><p>Supervisory Experience: No supervisory experience.</p><p>License or Certification: None</p>

<p><b>POSITION SUMMARY</b> Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered. Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.</p><p><strong>Desired Candidate Profile</strong></p><p>Education: No high school diploma or G.E.D. equivalent.</p><p>Related Work Experience: No related work experience.</p><p>Supervisory Experience: No supervisory experience.</p><p>License or Certification: None</p>

<p>We are seeking a Technical Sales Engineer Instrumentation to support business growth by promoting and delivering advanced instrumentation solutions (analyzers, automation, weighing systems, monitoring systems) for electrical machines. The role involves identifying new opportunities, engaging with clients across industrial sectors, and providing technical and commercial support throughout the sales cycle. The ideal candidate will combine strong technical expertise in instrumentation systems with hands-on experience in sales and client engagement.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>2-5 years of experience.</li><li>Strong technical understanding of Instrumentation systems (analyzers, automation systems, weighing systems, monitoring systems for electrical machines).</li><li>Hands-on experience with LV &amp; MV drive systems .</li><li>Valid driving license.</li><li>Bachelor s degree in Electrical Engineering, Mechatronics Engineering, or a related field .</li><li>Strong communication and presentation skills.</li><li>Ability to build and maintain client relationships.</li><li>Strong negotiation and commercial acumen.</li></ul>

<p>We are seeking a highly skilled and innovative AI Engineer to join our forward-thinking Technology team. In this role, you will bridge the gap between software engineering and data science, taking responsibility for designing, developing, and deploying cutting-edge Artificial intelligence and machine learning models. You will work cross-functionally to integrate intelligent, data-driven features into our core products and optimize them for Scale and performance.</p><p><strong>PRIMARY DUTIES AND RESPONSIBILITIES:</strong></p><ul><li><strong>Model Development &amp; Training:</strong> Design, build, and optimize machine learning and deep learning models (e.g., Natural Language Processing, Computer Vision, Predictive Analytics) tailored to specific business needs.</li><li><strong>Data Engineering &amp; Pipelines:</strong> Construct and maintain robust data pipelines to gather, clean, and preprocess large, complex datasets for efficient model training and inference.</li><li><strong>Deployment &amp; Integration:</strong> Deploy AI models into production environments, ensuring they are highly available and scalable. Integrate models seamlessly with existing software architectures via robust RESTful APIs or gRPC.</li><li><strong>MLOps &amp; Monitoring:</strong> Implement monitoring solutions to track model performance in real-time, troubleshoot issues, and automate retraining pipelines to combat data drift and degradation.</li><li><strong>Research &amp; Innovation:</strong> Stay continuously abreast of the latest advancements in AI methodologies, generative models (such as LLMs), and framework updates to elevate our technology stack.</li><li><strong>Collaboration:</strong> Work closely with product managers, data scientists, and backend engineers to translate complex business requirements into tangible technical AI solutions.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or a closely related quantitative field.</li><li>Proficiency in Python and strong familiarity with object-oriented languages such as C++, Java, or Go.</li><li>Deep hands-on experience with modern frameworks and libraries, including TensorFlow, PyTorch, Keras, and Scikit-Learn.</li><li>Solid understanding of software development life cycles (SDLC), version control (Git), CI/CD pipelines, and writing clean, testable code.</li><li>Experience working with SQL, NoSQL databases, and data manipulation tools (Pandas, NumPy, Apache Spark).</li><li>Experience working with Large Language Models (LLMs), prompt engineering, and fine-tuning techniques (e.g., LoRA, QLoRA, RAG architectures).</li><li>Familiarity with cloud platforms and their ML ecosystems (AWS SageMaker, Google Cloud Vertex AI, or Azure Machine Learning).</li><li>Strong background in containerization and orchestration tools (Docker, Kubernetes).</li><li>A proven track record of bringing ML models from research/prototype phase to a live production environment.</li></ul>

<p><b>About the Role:</b> You will own the commercial side of multiple digital products not just marketing, not just launch, but the full GTM system. We are not looking for a project manager. We are looking for someone who can architect, execute, and scale without needing step-by-step support . Your Responsibilities: Build and run go-to-market strategy from zero to traction Define and own funnels, activation flows, pricing, conversion paths Align product with real commercial value and test that fast Manage paid, organic, referral, and outbound channels Work directly with the founder to ship, learn, and scale quickly Own your KPIs and if they miss, you don t point fingers What You Must Have: You ve launched and scaled digital products before show us You ve built or managed actual funnels (not slides about funnels) You understand CAC, LTV, churn, activation, velocity You don t wait for someone to tell you what to do you set your own targets and exceed them You are allergic to meetings, bloat, and marketing theater Optional, but Strong Plus: Background in B2B SaaS, talent tech, or strategy platforms Experience building from scratch with limited resources Clear understanding of MENA digital buying behavior If you're not a builder, this role will exhaust you. If you're an operator who s tired of waiting for permission you'll thrive here. If you would like to know more about the Global Consulting Bootcamp Visit: https://caseinpointco.com/global-consultant-bootcamp/</p><p><strong>Desired Candidate Profile</strong></p><p>What You Must Have: You ve launched and scaled digital products before show us You ve built or managed actual funnels (not slides about funnels) You understand CAC, LTV, churn, activation, velocity You don t wait for someone to tell you what to do you set your own targets and exceed them You are allergic to meetings, bloat, and marketing theater Optional, but Strong Plus: Background in B2B SaaS, talent tech, or strategy platforms Experience building from scratch with limited resources Clear understanding of MENA digital buying behavior If you're not a builder, this role will exhaust you. If you're an operator who s tired of waiting for permission you'll thrive here.</p>

<p> <strong>POSITION SUMMARY</strong> </p> <p> </p> <p>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.</p> <p> </p> <p>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.</p><p><strong>Desired Candidate Profile</strong></p><p>PREFERRED QUALIFICATIONS</p> <p>Education: No high school diploma or G.E.D. equivalent.</p> <p>Related Work Experience: No related work experience.</p> <p>Supervisory Experience: No supervisory experience.</p> <p>License or Certification: None</p> <p> </p> <p> </p> <p> <i>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. </i> </p>

<p><h4>Key deliverables and responsibilities</h4> <h4>Planning & organizing</h4> <p>Plan cleaning schedule according to the room status sheet allocation.<br> Ensure housekeeping trolley is stocked daily in a neat and organised manner.<br> Maintain strong knowledge of the local area to ensure you are equipped to answer guest enquiries and provide accurate directions.</p> <h4>Operations</h4> <h4>Washing and cleaning</h4> <h4>Laundry processing</h4> <p>Sort soiled linens, towels, uniforms, and other items based on fabric type, color, and cleaning requirements.<br> Operate industrial washing machines and dryers to wash and dry laundry in an efficient and timely manner.<br> Pre-treat stains and heavily soiled items using appropriate chemicals and techniques.</p> <h4>Handling delicate fabrics</h4> <p>Follow specific washing instructions for delicate or special items such as uniforms, guest laundry, and high-quality linens.<br> Use the correct washing cycles, water temperatures, and cleaning solutions to ensure fabric preservation.</p> <h4>Chemicals and detergents</h4> <p>Use the correct amount of detergents, softeners, and chemicals for each load of laundry.<br> Ensure proper handling and storage of cleaning chemicals in compliance with safety protocols.</p> <h4>Quality control</h4> <h4>Inspection and folding</h4> <p>Inspect all washed items for stains, damage, or incomplete cleaning and rewash items if necessary.<br> Fold, iron, and neatly organize clean laundry, ensuring it meets the resort’s quality standards.</p> <h4>Equipment maintenance</h4> <p>Maintain and clean washing machines, dryers, and other laundry equipment to ensure they operate smoothly.<br> Report any equipment malfunctions or breakdowns to the laundry supervisor immediately.</p> <h4>Guest laundry service</h4> <h4>Personalized laundry service</h4> <p>Handle guest laundry requests by washing, drying, and folding guest clothes according to their specific instructions.<br> Ensure timely delivery of clean laundry back to guests, providing an exceptional level of service.</p> <h4>Health, safety, and hygiene</h4> <h4>Health & safety compliance</h4> <p>Adhere to all health and safety guidelines, including the safe handling of chemicals and following proper laundry procedures.<br> Wear protective gear and follow safety protocols to prevent injuries or accidents in the laundry area.</p> <h4>Cleanliness</h4> <p>Ensure that the laundry room and all equipment are kept clean, sanitized, and organized at all times.<br> Dispose of waste and lint from dryers according to proper procedures.</p> <h4>Coordination and teamwork</h4> <h4>Team support</h4> <p>Work closely with other members of the laundry and housekeeping teams to meet daily laundry quotas and schedules.<br> Assist other laundry staff with sorting, folding, and ironing when required.</p> <h4>Communication</h4> <p>Communicate any laundry-related issues or special requests to the laundry supervisor.<br> Report any damaged items or concerns about quality to the supervisor promptly.</p> <h4>Administration</h4> <p>Use the duty shift checklists to ensure tasks are completed.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Design, configure, and deploy VMware virtualization solutions tailored to client needs.<br> Administer and manage VMware vSphere infrastructure, focusing on ESXi hosts and vCenter Server.<br> Maintain and optimize virtual machine templates, snapshots, and clones.<br> Monitor system performance, implementing optimizations for enhanced efficiency.<br> Troubleshoot and resolve technical issues related to the VMware infrastructure.<br> Implement VMware NSX for advanced network virtualization.<br> Work collaboratively with clients and internal teams to devise customized VMware solutions.<br> Document installation procedures and maintain comprehensive technical documentation.<br> Bachelor's degree in Computer Science, Information Technology, or a related field.<br> A minimum of 5 years of relevant experience as a VMware Engineer or in a similar capacity.<br> Proficient in VMware vSphere, ESXi, and vCenter Server.<br> Experience with VMware NSX for network virtualization.<br> Familiar with managing virtual machines, templates, and snapshots.<br> Understanding of backup and disaster recovery strategies for VMware environments.<br> Strong analytical, troubleshooting, and problem-solving skills.<br> Effective communication and teamwork skills.<br> VMware Certified Professional (VCP) certification is a plus.<br></span> </div>

<p>The designee is responsible for the overall daily safe and expeditious flow of air traffic within the designated facility control airspace in accordance with ICAO and FAA 7110.65 regulatory guidance. Rules of separation must be applied to achieve the required separation as outlined in FAA manuals and orders. This designee maintains situational awareness of the overall flow of air traffic operations at the facility assigned and is responsible for all ATC facility operations and services during their shift, as well as adherence to CRM principal application. The designee coordinates with various controllers and personnel to relay information which pertains to the aircraft and in the interest of safety of flight including emergency information. The individual is responsible for vehicles and personnel operating on the airfield. Along with controlling aircraft the designee must be able to process flight plans, and supervise approach, departure, and arrival procedures. The designee will have a full working knowledge of control tower operations and flight planning and a fundamental knowledge of RADAR/Manual approach control operations.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Graduate of an approved DoD or FAA ATC course.</li><li>Eight (8) years of experience, one (1) year of experience must be from performing in a like type facility. Knowledge of ATC rules, regulations, and techniques; control tower and approach control operations. Shall hold one of the following tower certifications: FAA Control Tower Operator (CTO) certificate, FAA or AOV Credential with Tower rating, or equivalent.</li><li>Ability to obtain and maintain a US CENTCOM Medical Exam</li><li>Must have or be able to obtain/maintain a US Government Secret Security Clearance. NOTE: US Citizenship is required to obtain a Secret Clearance.</li></ul>