Machine operator Jobs

Pipeline Integrity Engineer — Digital Twin / Pi-Twin Program ???? Abu Dhabi, UAE (on-site / hybrid) · Full-time About the role Neurula Technologies is building Pi-Twin, an AI-driven pipeline integrity digital twin that fuses real-time sensor data with physics-based modeling to predict, localize, and quantify pipeline threats before they escalate. We're deploying the platform on a flagship program with large organization and are hiring a Pipeline Integrity Engineer to sit at the intersection of integrity engineering, sensing technology, and data science. You'll be part of the integrity domain expert on the team — translating real-world pipeline physics, inspection data, and threat assessment into the logic that drives our digital twin, and working hand-in-hand with the operator's pipeline group through POC and scale-up. What you'll do Own the integrity engineering basis for the Pi-Twin platform: corrosion, erosion, fatigue, mechanical damage, and geotechnical threat models for onshore and subsea pipelines Translate inspection and monitoring data (ILI, DAS/DTS fiber-optic sensing, ultrasonic, acoustic emission, CP/corrosion monitoring) into defect characterization and remaining-life assessment Define and validate acceptance criteria, anomaly thresholds, and alarm logic with the operator's integrity team Work alongside data scientists and ML engineers to ground physics-informed models in real pipeline behavior, including multiphase flow and pressure/temperature dynamics Support fitness-for-service and defect assessment (e.g., ASME B31G/Modified B31G, API 579, DNV) and risk-based inspection planning Contribute to the subsea POC: instrumentation layout, field checklists, commissioning, and interpretation of sensor results Interface directly with client side engineers and act as a technical point of contact during reviews and site activities What you bring Bachelor's or Master's in Mechanical, Petroleum, Materials, Chemical, or related engineering3+ years in pipeline integrity management within oil & gas (operator, EPC, or specialist integrity firm) Strong command of integrity codes and standards: ASME B31.4/B31.8, API 1160/1163, DNV-ST-F101, and corrosion/RBI methodologies Hands-on experience with one or more monitoring/inspection technologies (ILI, fiber-optic DAS/DTS, UT, AE, CP) Working understanding of pipeline hydraulics and multiphase flow Ability to work across disciplines — comfortable explaining integrity concepts to data scientists and software engineers Excellent written and verbal communication for operator-facing technical documentation Nice to have Direct experience in the UAE / GCC oil & gas sector or with ADNOC operating companies and specifications Subsea pipeline integrity exposure Familiarity with digital twin, predictive analytics, or condition-based monitoring platforms Exposure to physics-informed / data-driven modeling concepts Relevant certifications (API 1169, NACE/AMPP corrosion, etc.) Why Neurula Join a small, high-velocity team building category-defining technology for one of the world's largest energy operators. You'll have real ownership, direct access to a marquee client, and the chance to shape a platform from POC to production.

Pipeline Integrity Engineer — Digital Twin / Pi-Twin Program ???? Abu Dhabi, UAE (on-site / hybrid) · Full-time About the role Neurula Technologies is building Pi-Twin, an AI-driven pipeline integrity digital twin that fuses real-time sensor data with physics-based modeling to predict, localize, and quantify pipeline threats before they escalate. We're deploying the platform on a flagship program with large organization and are hiring a Pipeline Integrity Engineer to sit at the intersection of integrity engineering, sensing technology, and data science. You'll be part of the integrity domain expert on the team — translating real-world pipeline physics, inspection data, and threat assessment into the logic that drives our digital twin, and working hand-in-hand with the operator's pipeline group through POC and scale-up. What you'll do Own the integrity engineering basis for the Pi-Twin platform: corrosion, erosion, fatigue, mechanical damage, and geotechnical threat models for onshore and subsea pipelines Translate inspection and monitoring data (ILI, DAS/DTS fiber-optic sensing, ultrasonic, acoustic emission, CP/corrosion monitoring) into defect characterization and remaining-life assessment Define and validate acceptance criteria, anomaly thresholds, and alarm logic with the operator's integrity team Work alongside data scientists and ML engineers to ground physics-informed models in real pipeline behavior, including multiphase flow and pressure/temperature dynamics Support fitness-for-service and defect assessment (e.g., ASME B31G/Modified B31G, API 579, DNV) and risk-based inspection planning Contribute to the subsea POC: instrumentation layout, field checklists, commissioning, and interpretation of sensor results Interface directly with client side engineers and act as a technical point of contact during reviews and site activities What you bring Bachelor's or Master's in Mechanical, Petroleum, Materials, Chemical, or related engineering3+ years in pipeline integrity management within oil & gas (operator, EPC, or specialist integrity firm) Strong command of integrity codes and standards: ASME B31.4/B31.8, API 1160/1163, DNV-ST-F101, and corrosion/RBI methodologies Hands-on experience with one or more monitoring/inspection technologies (ILI, fiber-optic DAS/DTS, UT, AE, CP) Working understanding of pipeline hydraulics and multiphase flow Ability to work across disciplines — comfortable explaining integrity concepts to data scientists and software engineers Excellent written and verbal communication for operator-facing technical documentation Nice to have Direct experience in the UAE / GCC oil & gas sector or with ADNOC operating companies and specifications Subsea pipeline integrity exposure Familiarity with digital twin, predictive analytics, or condition-based monitoring platforms Exposure to physics-informed / data-driven modeling concepts Relevant certifications (API 1169, NACE/AMPP corrosion, etc.) Why Neurula Join a small, high-velocity team building category-defining technology for one of the world's largest energy operators. You'll have real ownership, direct access to a marquee client, and the chance to shape a platform from POC to production.

<ul><li><p>Setting up machines to start a production cycle.</p></li><li><p>Aware of mold change overs and process parameters.</p></li><li><p>Controlling and adjusting machine.</p></li><li><p>Feeding raw material.</p></li><li><p>Monitoring the machine parameters and report it.</p></li><li><p>Set up machines (calibration, cleaning etc.) to start a production cycle.</p></li><li><p>Control and adjust machine settings (e.g., speed).</p></li><li><p>Feed raw material or parts to semi-automated machines.</p></li><li><p>Inspect parts with precision and measuring tools.</p></li><li><p>Test operation of machines periodically.</p></li><li><p>Fix issues that might occur during the shift.</p></li><li><p>Check output to spot any machine-related mistakes or flaws.</p></li><li><p>Keep records of approved and defective units or final products.</p></li><li><p>Maintain activity logs.</p></li><li><p>Understanding of production procedures.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Good and strong experience on injection molding machines specially for PET industry (preform & Caps manufacturing).</p></li><li><p>Teamwork and good communication skills. </p></li><li><p>3-4 years of experience. </p></li><li><p>Experience working on Husky and Engel machines. </p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Machine Shop Supervisor will be responsible for overseeing all machining operations, ensuring that production activities are carried out safely, efficiently, and in line with company quality standards and project requirements. The role involves supervising machinists, monitoring workflow, maintaining equipment, and ensuring timely delivery of machining tasks.</p><ul><li><p>Supervise and coordinate daily machining operations, including turning, milling, drilling, and other precision machining processes.</p></li><li><p>Ensure all machining work meets required specifications, tolerances, and quality standards.</p></li><li><p>Plan, schedule, and allocate work to machinists to meet project deadlines.</p></li><li><p>Monitor machine utilization, identify bottlenecks, and optimize production efficiency.</p></li><li><p>Oversee the maintenance and calibration of machine shop equipment and tools.</p></li><li><p>Implement and enforce company safety procedures to maintain a safe working environment.</p></li><li><p>Train, mentor, and guide machinists to enhance skills and performance.</p></li><li><p>Collaborate with engineers, project teams, and other departments to ensure machining work aligns with project needs.</p></li><li><p>Maintain accurate records of production, machine hours, material usage, and quality checks.</p></li></ul><p>Troubleshoot operational issues and propose process improvements for productivity and cost efficiency.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Diploma or technical certification in Mechanical Engineering, Machining, or related field.</p></li><li><p>Minimum of 5 years’ experience in a machine shop, including supervisory experience.</p></li><li><p>Strong knowledge of machining processes, tools, and equipment.</p></li><li><p>Ability to read and interpret engineering drawings and technical specifications.</p></li><li><p>Good understanding of safety regulations and quality standards in machining.</p></li><li><p>Strong leadership, communication, and team management skills.</p></li><li><p>Detail-oriented with problem-solving abilities.</p></li><li><p>Ability to work under pressure and manage multiple priorities.</p></li></ul><p></p></section>

<p>Technopole Industries L.L.C. is seeking an experienced Production Engineer to lead daily machine shop operations for street lighting pole fabrication. This is a hands-on supervisory role responsible for output, dimensional accuracy, and team discipline on the shop floor.</p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Plan, coordinate, and supervise machine shop operations: plasma cutting, laser cutting, taper cutting, plate bending, and seam welding.</p></li><li><p>Meet daily/weekly output targets aligned to production schedules and delivery commitments.</p></li><li><p>Interpret fabrication drawings, cut sheets, and dimensional specs across pole profiles.</p></li><li><p>Monitor MS plate/coil material utilization, minimize scrap, and maintain consumption logs.</p></li><li><p>Coordinate with Production Planning, QC, Procurement, and Assembly for workflow continuity.</p></li><li><p>Supervise setup, operation, and basic maintenance of machines.</p></li><li><p>Verify dimensional accuracy during different stages of production</p></li><li><p>Prepare daily production reports, machine utilization logs, and shift handover notes.</p></li><li><p>Optimize job sequencing and machine loading to eliminate idle time and maximize throughput per shift.</p></li><li><p>Enforce HSE standards, safe work practices, and PPE compliance.</p></li><li><p>Drive process improvements to reduce cycle time per pole and improve first-pass dimensional acceptance rate.</p></li></ul><p><strong>Required Qualifications:</strong></p><ul><li><p>Bachelor’s degree in mechanical/production/industrial engineering.</p></li><li><p>Minimum 2-5 years' experience in production operations within structural steel/pole/pipe fabrication or similar heavy fabrication industry.</p></li></ul><p><strong>Required Skills & Competencies:</strong></p><ul><li><p>Strong understanding of MS plate properties, bending allowances, and forming tolerances for structural pole profiles.</p></li><li><p>Ability to read and interpret fabrication drawings, cut plans, and dimensional tolerances.</p></li><li><p>Machine operation and basic troubleshooting competency.</p></li><li><p>Production planning experience</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Experience in Production, Production Planning.</p></li><li><p>Experience in steel fabrication is an advantage</p></li></ul>

<p>Technopole Industries L.L.C. is seeking an experienced Production Engineer to lead daily machine shop operations for street lighting pole fabrication. This is a hands-on supervisory role responsible for output, dimensional accuracy, and team discipline on the shop floor.</p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Plan, coordinate, and supervise machine shop operations: plasma cutting, laser cutting, taper cutting, plate bending, and seam welding.</p></li><li><p>Meet daily/weekly output targets aligned to production schedules and delivery commitments.</p></li><li><p>Interpret fabrication drawings, cut sheets, and dimensional specs across pole profiles.</p></li><li><p>Monitor MS plate/coil material utilization, minimize scrap, and maintain consumption logs.</p></li><li><p>Coordinate with Production Planning, QC, Procurement, and Assembly for workflow continuity.</p></li><li><p>Supervise setup, operation, and basic maintenance of machines.</p></li><li><p>Verify dimensional accuracy during different stages of production</p></li><li><p>Prepare daily production reports, machine utilization logs, and shift handover notes.</p></li><li><p>Optimize job sequencing and machine loading to eliminate idle time and maximize throughput per shift.</p></li><li><p>Enforce HSE standards, safe work practices, and PPE compliance.</p></li><li><p>Drive process improvements to reduce cycle time per pole and improve first-pass dimensional acceptance rate.</p></li></ul><p><strong>Required Qualifications:</strong></p><ul><li><p>Bachelor’s degree in mechanical/production/industrial engineering.</p></li><li><p>Minimum 2-5 years' experience in production operations within structural steel/pole/pipe fabrication or similar heavy fabrication industry.</p></li></ul><p><strong>Required Skills & Competencies:</strong></p><ul><li><p>Strong understanding of MS plate properties, bending allowances, and forming tolerances for structural pole profiles.</p></li><li><p>Ability to read and interpret fabrication drawings, cut plans, and dimensional tolerances.</p></li><li><p>Machine operation and basic troubleshooting competency.</p></li><li><p>Production planning experience</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Solid work knowledge is an advantage</p>

<ol><li><p>Responsible for the execution or bidding support of grid studies for Open or Combined Cycle Power Stations, Substations, PV Solar, BESS, Wind Farms, Desalination Plants, Industrial Power Systems and other power projects.</p></li><li><p>Responsible for conducting and reviewing Power System Studies required during project development, design and execution stages.</p></li><li><p>Responsible for developing, maintaining and reviewing power system network models and ensuring that project electrical data is correctly incorporated into the study model.</p></li><li><p>Responsible for performing or reviewing Load Flow, Short Circuit, Motor Starting, Voltage Stability, Transient Stability, Dynamic and other applicable power system studies.</p></li><li><p>Responsible for conducting Protection Coordination Studies and providing study results and recommendations for protection system design and relay settings.</p></li><li><p>Responsible for performing or reviewing Load Shedding, Under-Frequency Load Shedding, Under-Voltage Load Shedding and Islanding studies where applicable.</p></li><li><p>Responsible for evaluating Grid Code compliance and identifying technical requirements related to grid connection, generator performance, voltage/frequency control, reactive power, fault ride-through and system stability.</p></li><li><p>Responsible for reviewing the impact of new generating units, renewable energy, BESS and major loads on the existing electrical network.</p></li><li><p>Responsible for reviewing and analyzing short circuit levels, system fault currents, voltage profiles, equipment ratings and network operating conditions.</p></li><li><p>Responsible for coordinating grid study input data with the Owner, Consultant, Utility/Grid Operator, OEMs and other engineering disciplines.</p></li><li><p>Responsible for preparing and reviewing Power System Study Reports, Grid Connection Studies, Technical Assessment Reports and Study Recommendations.</p></li><li><p>Responsible for reviewing technical specifications, grid study requirements and proposals during the bidding process.</p></li><li><p>Responsible for providing technical clarification and responding to Owner, Consultant and Grid Operator comments related to power system studies.</p></li></ol><p><strong>Desired Candidate Profile</strong></p><ol><li><p>Strong understanding of power system analysis and grid studies for MV/HV/EHV electrical networks.</p></li><li><p>Extensive experience in Load Flow, Short Circuit and Power System Analysis.</p></li><li><p>Experience in Transient Stability, Dynamic Stability and/or EMT studies for conventional generation, renewable energy and BESS projects.</p></li><li><p>Experience in Motor Starting, Voltage Drop, Reactive Power and Voltage Stability studies.</p></li><li><p>Experience in Protection Coordination and Relay Setting Studies, including evaluation of fault currents and protection operating conditions.</p></li><li><p>Experience in Load Shedding, UFLS/UVLS, Islanding and system restoration studies is preferred.</p></li><li><p>Good understanding of Grid Code requirements and grid connection studies, including voltage/frequency requirements, reactive power capability, fault ride-through and generator performance requirements.</p></li><li><p>Experience with Saudi Grid Code / SEC requirements, TRANSCO requirements or other utility/grid operator requirements is preferred.</p></li><li><p>Experience in developing and reviewing electrical network models, including generators, transformers, transmission lines, cables, motors, loads, renewable generators and BESS.</p></li><li><p>Ability to review project SLDs, electrical equipment data, generator parameters, transformer data, cable data and protection information and convert them into appropriate study model inputs.</p></li><li><p>Experience in preparing and reviewing professional Power System Study Reports, calculation notes, technical assessments and recommendations.</p></li><li><p>Experience in coordinating technical interfaces with Owner, Grid Operator, Consultant, OEMs and other engineering disciplines.</p></li><li><p>Ability to quickly assess study results, identify abnormal operating conditions and provide practical engineering recommendations.</p></li><li><p>Experience in reviewing grid study models provided by consultants or third parties and identifying inconsistencies between the study model and project design.</p></li><li><p>Good understanding of international standards and engineering practices, including IEC, IEEE, ANSI and applicable Grid Codes and utility standards.</p></li><li><p>Strong technical communication, report-writing and presentation skills</p></li></ol>

We are seeking an experienced Data Engineer to join a high-performing data and analytics team driving enterprise-wide transformation initiatives. This role offers the opportunity to work with modern cloud-native architectures, large-scale datasets, AI use cases, and advanced data technologies that power analytics, business intelligence, and machine learning solutions.<br>Key Responsibilities Design, develop, and optimize scalable batch and real-time data pipelines. Build and maintain enterprise data lakes, lakehouse architectures, and curated analytical datasets. Develop high-performance SQL and Python code for large-scale data processing workloads. Implement robust data quality, validation, monitoring, and observability frameworks. Develop cloud-native data solutions and infrastructure-as-code deployments. Collaborate closely with Data Scientists, BI teams, and business stakeholders to deliver trusted and governed data products. Support AI and machine learning initiatives by preparing high-quality training datasets and enabling MLOps workflows.<br>Required Experience5+ years of experience in Data Engineering. Strong experience designing and building ETL/ELT pipelines at scale. Advanced expertise in SQL and Python. Hands-on experience with cloud data platforms, preferably Azure. Experience with modern data warehousing and lakehouse architectures. Exposure to CI/CD and infrastructure automation practices.<br>Top Skills for the Ideal Candidate Microsoft Fabric Azure Data Factory (ADF) Databricks PySpark Python Advanced SQLLakehouse Architecture Delta Lake Azure Synapse Analytics Terraform Infrastructure as Code (IaC) Git Hub Actions Azure Dev Ops Data Governance Data Quality Frameworks Change Data Capture (CDC) API Integrations Streaming Data Pipelines MLOps Enablement Metadata Management Data Lineage<br>Nice to Have Scala Hadoop ecosystem exposure Machine Learning pipeline experience Experience supporting enterprise AI initiatives<br>If you enjoy solving complex data challenges and building platforms that enable data-driven decision making at scale, we would love to hear from you.#Data Engineer #Senior Data Engineer #Azure #Microsoft Fabric #Databricks #PySpark #Data Engineering #Machine Learning #AI #Analytics #Cloud Engineering #UAEJobs #Hiring

We are seeking an experienced Data Engineer to join a high-performing data and analytics team driving enterprise-wide transformation initiatives. This role offers the opportunity to work with modern cloud-native architectures, large-scale datasets, AI use cases, and advanced data technologies that power analytics, business intelligence, and machine learning solutions.<br>Key Responsibilities Design, develop, and optimize scalable batch and real-time data pipelines. Build and maintain enterprise data lakes, lakehouse architectures, and curated analytical datasets. Develop high-performance SQL and Python code for large-scale data processing workloads. Implement robust data quality, validation, monitoring, and observability frameworks. Develop cloud-native data solutions and infrastructure-as-code deployments. Collaborate closely with Data Scientists, BI teams, and business stakeholders to deliver trusted and governed data products. Support AI and machine learning initiatives by preparing high-quality training datasets and enabling MLOps workflows.<br>Required Experience5+ years of experience in Data Engineering. Strong experience designing and building ETL/ELT pipelines at scale. Advanced expertise in SQL and Python. Hands-on experience with cloud data platforms, preferably Azure. Experience with modern data warehousing and lakehouse architectures. Exposure to CI/CD and infrastructure automation practices.<br>Top Skills for the Ideal Candidate Microsoft Fabric Azure Data Factory (ADF) Databricks PySpark Python Advanced SQLLakehouse Architecture Delta Lake Azure Synapse Analytics Terraform Infrastructure as Code (IaC) Git Hub Actions Azure Dev Ops Data Governance Data Quality Frameworks Change Data Capture (CDC) API Integrations Streaming Data Pipelines MLOps Enablement Metadata Management Data Lineage<br>Nice to Have Scala Hadoop ecosystem exposure Machine Learning pipeline experience Experience supporting enterprise AI initiatives<br>If you enjoy solving complex data challenges and building platforms that enable data-driven decision making at scale, we would love to hear from you.#Data Engineer #Senior Data Engineer #Azure #Microsoft Fabric #Databricks #PySpark #Data Engineering #Machine Learning #AI #Analytics #Cloud Engineering #UAEJobs #Hiring

Role: ML Researcher (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contract basis. The role involves advancing machine learning models and algorithms to solve complex problems in a high-impact environment. Responsibilities include designing, implementing, and evaluating novel AI solutions for real-world applications.<br>Key Responsibilities:• Design and develop machine learning models and algorithms to address specific business challenges.• Conduct research to improve existing models and explore new approaches in AI and machine learning.• Collaborate with cross-functional teams to integrate machine learning solutions into production systems.• Analyze large datasets to identify patterns and trends that inform model improvements.• Document research findings and present results to stakeholders in a clear and actionable manner.<br>Required Skills & Qualifications:• Proficiency in Python and machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in applied mathematics, statistics, or a related quantitative field.• Experience with natural language processing, computer vision, or other specialized AI domains.• Ability to design and conduct experiments to evaluate model performance and accuracy.• Familiarity with data preprocessing, feature engineering, and model optimization techniques.• Experience with cloud platforms and distributed computing for scalable ML model training.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. Candidates will have the chance to work on impactful projects with direct influence on the company’s strategic direction.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: ML Researcher (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contract basis. The role involves advancing machine learning models and algorithms to solve complex problems in a high-impact environment. Responsibilities include designing, implementing, and evaluating novel AI solutions for real-world applications.<br>Key Responsibilities:• Design and develop machine learning models and algorithms to address specific business challenges.• Conduct research to improve existing models and explore new approaches in AI and machine learning.• Collaborate with cross-functional teams to integrate machine learning solutions into production systems.• Analyze large datasets to identify patterns and trends that inform model improvements.• Document research findings and present results to stakeholders in a clear and actionable manner.<br>Required Skills & Qualifications:• Proficiency in Python and machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in applied mathematics, statistics, or a related quantitative field.• Experience with natural language processing, computer vision, or other specialized AI domains.• Ability to design and conduct experiments to evaluate model performance and accuracy.• Familiarity with data preprocessing, feature engineering, and model optimization techniques.• Experience with cloud platforms and distributed computing for scalable ML model training.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. Candidates will have the chance to work on impactful projects with direct influence on the company’s strategic direction.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<ul><li><p>AI & ML Engineering</p><ul><li><p>Develop, deploy, and optimize machine learning and deep learning models.</p></li><li><p>Build AI solutions for NLP, computer vision, predictive analytics, and intelligent automation.</p></li><li><p>Integrate AI services into enterprise applications and internal platforms.</p></li></ul><p>Generative AI</p><ul><li><p>Develop LLM-based applications, AI copilots, and RAG solutions.</p></li><li><p>Implement prompt engineering, model evaluation, embeddings, and semantic search.</p></li><li><p>Optimize model performance, scalability, and cost.</p></li></ul><p>Agentic AI</p><ul><li><p>Design and deploy autonomous and multi-agent AI systems.</p></li><li><p>Develop agent orchestration, planning, reasoning, memory, and tool integration.</p></li><li><p>Implement human-in-the-loop approvals and enterprise workflow automation.</p></li></ul><p>AI Operations (MLOps / LLMOps / AgentOps)</p><ul><li><p>Build CI/CD pipelines for AI models and agents.</p></li><li><p>Monitor AI systems for performance, drift, hallucinations, security, and reliability.</p></li><li><p>Manage model versioning, deployment, observability, and lifecycle operations.</p></li></ul><p>AI Governance & Responsible AI</p><ul><li><p>Implement AI governance, model risk management, and Responsible AI practices.</p></li><li><p>Maintain model documentation, validation, audit readiness, and compliance.</p></li><li><p>Ensure fairness, traceability, maintainability, privacy, and regulatory adherence.</p></li></ul><p>Agent Governance & Security</p><ul><li><p>Govern AI agent lifecycle, identity, access, and runtime controls.</p></li><li><p>Implement guardrails, audit logging, and secure integration with enterprise systems.</p></li><li><p>Protect AI solutions against prompt injection, data leakage, and adversarial attacks.</p></li></ul><p>Collaboration</p><ul><li><p>Work with business, engineering, security, and architecture teams to deliver AI solutions.</p></li><li><p>Mentor team members and promote AI engineering standards and best practice</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>AI & Machine Learning</p><ul><li><p>Machine Learning, Deep Learning, NLP, Computer Vision</p></li><li><p>Predictive Analytics, Feature Engineering, Model Optimization</p></li></ul><p>Generative AI</p><ul><li><p>Large Language Models (LLMs)</p></li><li><p>Retrieval-Augmented Generation (RAG)</p></li><li><p>Prompt Engineering</p></li><li><p>Embeddings and Semantic Search</p></li><li><p>Fine-tuning Foundation Models</p></li></ul><p>Agentic AI</p><ul><li><p>Autonomous and Multi-Agent Systems</p></li><li><p>Agent Orchestration</p></li><li><p>Planning and Reasoning</p></li><li><p>Memory Management</p></li><li><p>Tool Calling</p></li><li><p>Human-in-the-Loop (HITL)</p></li><li><p>Model Context Protocol (MCP)</p></li></ul><p>Frameworks & Libraries</p><ul><li><p>PyTorch</p></li><li><p>TensorFlow</p></li><li><p>Scikit-learn</p></li><li><p>Hugging Face</p></li><li><p>LangChain</p></li><li><p>LangGraph</p></li><li><p>LlamaIndex</p></li><li><p>AutoGen</p></li><li><p>CrewAI</p></li><li><p>Semantic Kernel</p></li></ul><p>Cloud & Infrastructure</p><ul><li><p>Microsoft Azure AI Foundry</p></li><li><p>Azure Machine Learning</p></li><li><p>AWS Bedrock</p></li><li><p>Amazon SageMaker</p></li><li><p>Google Vertex AI</p></li><li><p>Docker</p></li><li><p>Kubernetes</p></li><li><p>Terraform</p></li></ul><p>Data & Integration</p><ul><li><p>SQL</p></li><li><p>PostgreSQL</p></li><li><p>MongoDB</p></li><li><p>Apache Spark</p></li><li><p>Vector Databases</p></li><li><p>REST APIs</p></li><li><p>FastAPI</p></li></ul><p>AI Operations</p><ul><li><p>MLflow</p></li><li><p>Kubeflow</p></li><li><p>Azure ML Pipelines</p></li><li><p>GitHub Actions</p></li><li><p>Azure DevOps</p></li></ul><p>AI Monitoring & Observability</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><br>Summary:<br>We are looking for a Telephone Operator to manage all incoming calls in a fast-paced office setting. The ideal candidate will be responsible for directing calls to the appropriate departments, taking messages when needed, and providing excellent customer service over the phone.</p> <p>The position is based at The Cove Rotana Resort.<br><br>Job Responsibility:<br>- Answer incoming calls in a professional and courteous manner<br>- Direct calls to the appropriate person or department<br>- Take accurate and detailed messages when necessary<br>- Provide information to callers and assist with inquiries<br>- Maintain a log of calls and ensure all messages are relayed in a timely manner<br><br>Candidate Requirements:<br>- High school diploma or equivalent<br>- Proven experience as a telephone operator or similar role<br>- Excellent communication and customer service skills<br>- Ability to multi-task and work efficiently in a fast-paced environment<br>- Proficient in using telephone systems and office equipment</p> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Operate and monitor ladles during molten steel transfer and casting operations, ensuring safe handling and process continuity.</p></li><li><p>Coordinate with the Crane Operator, Pulpit Operator, and Shift Supervisor for timely ladle movement, changeover, and casting activities.</p></li><li><p>Inspect ladles, slide gates, nozzles, and refractory conditions before and during operation to ensure safe performance.</p></li><li><p>Monitor molten steel flow and assist in maintaining stable casting conditions to achieve production and quality targets.</p></li><li><p>Follow all safety procedures, maintain housekeeping standards, and report any abnormalities, leakages, or refractory issues immediately.</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p>12/ITI/Diploma in Mechanical or related technical discipline.</p></li><li><p>3–5 years of experience in steel melting shop (SMS) or CCM operations.</p></li><li><p>Knowledge of ladle handling, refractory systems, slide gate operations, and molten metal safety practices.</p></li><li><p>Ability to identify operational issues and coordinate effectively with production teams.</p></li><li><p>Willingness to work in rotational shifts and high-temperature industrial environments.</p></li></ol><p></p></section>

<ul><li><p>Operate cut & bend machines safely and efficiently.</p></li><li><p>Cut and bend steel bars as per specifications.</p></li><li><p>Check product quality and measurements.</p></li><li><p>Perform basic machine cleaning and maintenance.</p></li><li><p>Follow safety procedures and work instructions.</p></li><li><p>Report any machine faults or production issues.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Basic education.</p></li><li><p>Experience in machine operation preferred (GCC).</p></li><li><p>Ability to read measurements and follow instructions.</p></li><li><p>Physically fit and safety conscious.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​<br>This is a chance to join one of Abu Dhabi’s fastest-growing AI organisations and work on machine learning systems that are already being used by governments and major enterprises around the world.<br>The company is building practical, production-grade AI products across multiple industries, with a strong focus on taking advanced machine learning out of the lab and into real-world use.<br>They’re now looking for a Senior Machine Learning Engineer to join a highly technical team and help design, build and deploy the next generation of AI systems.<br>Alongside the technical challenge, the role comes with a strong tax-free package, annual bonus, relocation support and family benefits.<br><b>The role</b><br>You’ll work across the full machine learning lifecycle, from data preparation and model development through to deployment, monitoring and optimisation in production.<br>A big part of the role will be building scalable ML systems that can perform reliably in complex, high-impact environments. You’ll work closely with Software Engineers, Data Scientists and Product teams to integrate models into wider applications and platforms.<br>The work will cover areas such as NLP, LLMs and large-scale AI systems, with scope to contribute to architecture, technical direction and the wider engineering standards used across the team.<br>You’ll also help improve model performance, reliability and maintainability, while making sure systems meet the security and scalability requirements expected in production.</p><br><p>​</p><br><p><b>What we're looking for</b></p><br><ul><li><p>Strong commercial experience in Machine Learning Engineering or a similar role.</p><br></li><li><p>Solid experience across machine learning, deep learning and statistical modelling.</p><br></li><li><p>Proven experience building and deploying models into production.</p><br></li><li><p>Strong Python skills and hands-on experience with frameworks such as PyTorch, TensorFlow or JAX.</p><br></li><li><p>Experience working with large datasets and production ML pipelines.</p><br></li><li><p>Good understanding of NLP, LLMs or other large-scale AI systems.</p><br></li><li><p>Familiarity with cloud platforms, containers and modern MLOps practices.</p><br></li><li><p>Comfortable working in fast-moving, highly technical engineering environments.</p><br></li></ul><p>Experience with generative AI, distributed systems, high-performance computing or regulated industries would be a plus.<br><b>What’s on offer</b><br>The package reflects the level of the role, with a competitive tax-free salary and annual bonus of up to 30%.<br>You’ll also receive full relocation support, visa sponsorship and private healthcare for you and your family, plus an education allowance for up to three children.<br>Most importantly, you’ll be joining a fast-scaling AI organisation where the work is already being deployed at serious scale, with plenty of scope to influence how the technology develops as the team grows.</p><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Operate cut &amp; bend machines safely and efficiently.</p></li><li><p>Cut and bend steel bars as per specifications.</p></li><li><p>Check product quality and measurements.</p></li><li><p>Perform basic machine cleaning and maintenance.</p></li><li><p>Follow safety procedures and work instructions.</p></li><li><p>Report any machine faults or production issues.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Basic education.</p></li><li><p>Experience in machine operation preferred (GCC).</p></li><li><p>Ability to read measurements and follow instructions.</p></li><li><p>Physically fit and safety conscious.</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Program and set up CNC laser cutting machines based on engineering drawings and CAD/CAM files to ensure precision and accuracy.</p></li><li><p>Program, set up, and operate <strong>CNC Press Brake (Bending Machine)</strong> to bend components according to engineering drawings and specifications.</p></li><li><p>Load and secure metal sheets and other materials onto machine beds before operation.</p></li><li><p>Monitor laser cutting and bending processes, adjusting machine parameters to achieve optimum quality, accuracy, and productivity.</p></li><li><p>Perform routine quality inspections using measuring tools such as calipers and micrometers to verify dimensions and tolerances.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>High school diploma or equivalent; vocational training in CNC machining or a related field is preferred.</p></li><li><p>Basic understanding of CAD/CAM software and the ability to interpret technical drawings and blueprints.</p></li><li><p>Familiarity with various materials (metals, plastics, etc.) and their cutting characteristics using laser technology.</p></li><li><p>Proven experience operating CNC laser cutting machines, with at least <strong>1–2 years of relevant experience</strong>.</p></li><li><p><strong>Experience operating CNC Press Brake (Bending Machine) is required.</strong></p></li><li><p><strong>Previous experience in a steel manufacturing/fabrication factory is required.</strong></p></li><li><p><strong>Knowledge and experience in manufacturing light poles and telecommunication towers will be an added advantage.</strong></p></li></ul><p></p></section>

<p><strong>Terminal Supervisor</strong></p><ul><li>Manages tank farm activities, including Shipments, tanker loading/offloading, berthing & planning of vessel, blending of products, etc. </li><li>Complies with all the required documentation of operational checklists and reports for Operations Activities. </li><li>Maintains product quality at the highest level while delivering to customers. </li><li>Monitors bulk stocks of tanks. </li><li>Enhances improvement in operations activity, proposes new procedures to maintain the quality and safety of the product and operating staff. </li><li>Assists the Operations Manager, Projects & Maintenance </li><li>Assists the Operations Manager in the implementation of Job Safety Analysis and simultaneously inspects the job site activities with maximum concern towards hazardous areas. </li><li>Supervises the regular inspection of firefighting facilities, safety and emergency response equipment. </li><li>Assist in developing and implementing field location emergency response procedures and evacuation plans. </li><li> Conduct training pertaining to Toolbox on a daily Basis </li><li> Responsible for preparing written weekly and monthly Operations activity reports & HSE reports.</li></ul><p><strong>Terminal Operator</strong></p><ul><li>Review and discussion of the daily activities plan with the Terminal Supervisor.</li><li>Performing container loading/offloading activities, supervision of the flexi setting of the container.</li><li>Inspection and testing of hoses and pumps before operation</li><li>Handle loading and unloading of products according to standard operating procedures and safety guidelines.</li><li>Performs pump and pipeline line-up, sets up manifolds, rigs telescopic tubes, switchover pumps, manipulates valves, removes/installs flanges and blinds, changes and cleans filters, loads and/or decants trucks and iso-containers, connects and disconnects hoses and performs other activities needed for the cargo operation.</li><li>Monitor and control product flow, tank levels, and pressure/temperature gauges.</li><li>Arrangement of required materials for tank cleaning and execution of the work as per the instructions of the supervisor.</li><li>Maintain accurate logs and reports on operations, incidents, and inventory levels.</li><li>Performing tank and pipeline cleaning activities as and when required during product changeover.</li><li>Maintenance of Pressure gauges, Earth pit, Lighting, and Electrical Panels as per the guidance of the maintenance in charge.</li><li>Ensure all operations are conducted in compliance with environmental and safety regulations.</li><li>Maintain high standards of housekeeping in the terminal.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>5 Years of experience for the supervisor post and a minimum 3 years of experience for the Terminal operator position.</li><li>The operator should have a Diploma in Engineering or above and the Supervisor should be a Graduate Engineer</li><li>Familiarity with Class A cargo and hands-on experience in manual terminal operations is preferred.</li><li>Fluent in written/spoken English</li></ul>

<p><strong>Terminal Supervisor</strong></p><ul><li>Manages tank farm activities, including Shipments, tanker loading/offloading, berthing & planning of vessel, blending of products, etc. </li><li>Complies with all the required documentation of operational checklists and reports for Operations Activities. </li><li>Maintains product quality at the highest level while delivering to customers. </li><li>Monitors bulk stocks of tanks. </li><li>Enhances improvement in operations activity, proposes new procedures to maintain the quality and safety of the product and operating staff. </li><li>Assists the Operations Manager, Projects & Maintenance </li><li>Assists the Operations Manager in the implementation of Job Safety Analysis and simultaneously inspects the job site activities with maximum concern towards hazardous areas. </li><li>Supervises the regular inspection of firefighting facilities, safety and emergency response equipment. </li><li>Assist in developing and implementing field location emergency response procedures and evacuation plans. </li><li> Conduct training pertaining to Toolbox on a daily Basis </li><li> Responsible for preparing written weekly and monthly Operations activity reports & HSE reports.</li></ul><p><strong>Terminal Operator</strong></p><ul><li>Review and discussion of the daily activities plan with the Terminal Supervisor.</li><li>Performing container loading/offloading activities, supervision of the flexi setting of the container.</li><li>Inspection and testing of hoses and pumps before operation</li><li>Handle loading and unloading of products according to standard operating procedures and safety guidelines.</li><li>Performs pump and pipeline line-up, sets up manifolds, rigs telescopic tubes, switchover pumps, manipulates valves, removes/installs flanges and blinds, changes and cleans filters, loads and/or decants trucks and iso-containers, connects and disconnects hoses and performs other activities needed for the cargo operation.</li><li>Monitor and control product flow, tank levels, and pressure/temperature gauges.</li><li>Arrangement of required materials for tank cleaning and execution of the work as per the instructions of the supervisor.</li><li>Maintain accurate logs and reports on operations, incidents, and inventory levels.</li><li>Performing tank and pipeline cleaning activities as and when required during product changeover.</li><li>Maintenance of Pressure gauges, Earth pit, Lighting, and Electrical Panels as per the guidance of the maintenance in charge.</li><li>Ensure all operations are conducted in compliance with environmental and safety regulations.</li><li>Maintain high standards of housekeeping in the terminal.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>5 Years of experience for the supervisor post and a minimum 3 years of experience for the Terminal operator position.</li><li>The operator should have a Diploma in Engineering or above and the Supervisor should be a Graduate Engineer</li><li>Familiarity with Class A cargo and hands-on experience in manual terminal operations is preferred.</li><li>Fluent in written/spoken English</li></ul>