Machine operator Jobs
1464 Jobs Found
Confidential
UAE - Remote
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>-HVAC Workshop supervisor </p><ul><li><p>Report to Engineer </p></li><li><p>Very good reading and understanding HVAC drawings </p></li><li><p>Know how to operate workshop floor, machines (Plasma Machine, Cutting machine, flange Machine ...etc)</p></li><li><p>HVAC system Installation </p></li><li><p>Quality control and assurance Knowledge </p></li><li><p>HSE Knowledge </p></li><li><p>Good computer skills, Auto cad is a plus. </p></li><li><p>Material take off </p></li><li><p>Coordinates with site and Procurement </p></li><li><p>Hard working </p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Diploma in mechanical engineering/Refrigeration HVAC system is a plus. </p><p>Knowledge how to Operate Plasma machine, shearing machine, IRON worker,...etc. Knowledge in stainless steel duct fabrication </p><p></p></section>
UAE
<h2 class="h5">Job description</h2>
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<p><span>Dubai serves as a strategic hub for Eaton’s Middle East operations, bringing together commercial, engineering, manufacturing, and support teams within a globally connected business environment. Building on more than 40 years in the region, Eaton recently announced the development of a new sustainable campus in Dubai, reinforcing our long‑term investment in growth, collaboration, and capability building. </span></p><br><br><br><p><span>As <strong>Test Engineer – PCBA</strong>, you set-up, validate, maintain and improve PCBA test procedure in production and ensure technical support in production for Failed PCBAs (or FGs) diagnosis after ICT/Flying probe/functional test, to secure EATON production quality standards and constantly improve customer satisfatction. This role ensures PCBA EATON quality compliance for repaired PCBA for New Product Introduction, Transfered PCBA from other EATON plants or EMS, and ensure robust and stable PCBA testing and repairing processes definition, compliant with industry standards, supporting product quality, and operational excellence, in line with EATON Safety rules.</span></p><br><br><br><p><span>The Test Engineer – PCBA will design PCBA/FG test procedure and Work Instructions in production, interacts with Manufacturing Test development team during design phases (manufacturability of PCBA & FG), by supporting Industrialization Program Manager, trackz defect rate at FCT/ICT Test process steps during Pre-series and in production, via Pareto analysis, define, manage and realize Testers and Test fixtures maintenance activities, defines repair processs for failed PCBA/FG to be applied in production and suggests CI and VAVE projects for productivity improvement. </span></p><br><br><br>What you’ll do:
<br><ul><li><span>Develop, deliver and maintain Operators and Maintenance work instruction and plan, for PCBA & FG electronic test equipment processes (ICT, Flying Probe, Functional tests).</span></li><li><span>Manage and realize maintenance activities level 2 & 3 (preventives maintenance and internal-external equipment calibrations).</span></li><li><span>Support Industrialization program manager in ProLaunch Manufacturing delivrables release: Process flow Chart, PFMEA, PPAP, etc.., with Manufacturing Test development engineering team.</span></li><li><span>Support Industrialization program manager to influence PCB/PCBA design through DFM reviews, with R&D</span></li><li><span>Ensure PCBA test instruction and maintenance plan linked to ECO/MCO in due time.</span></li><li><span>Track and improve PCBA/FGs Test related cycle times for each PCBA SKU, and Update related RCCP data with production manager</span></li><li><span>Support customer audit and Plant quality certification programs at Test processes Level (ICT/Flying Probe Functional and other electronic test steps).</span></li><li><span>Support Manufacturing Test development team in new test solutions implementation in production: MSA tests, cycle time confirmation, maintenance plan definition, operator work instruction: change over and production operations, etc...</span></li><li><span>Support component & Product engineer in SAP and MES setUp for PCBA/FGs test operation data establishment.</span></li><li><span>Analyse OEE of testers in production per SKU and define Continuous Improvement plan for Electronic Testing area.</span></li><li><span>Track maintenance indicators to improve Test area performance: MTBF, MTTR</span></li><li><span>Act as technical interlocutor for other EATON plant and EMS , for test in production shopfloor</span></li><li><span>Define CAPEX needs for PP, to improve productivity in production test area (ROI)</span></li><li><span>Support Production Continuous Improvement initiatives, SMED, Kaizen events, RIE, VSM</span></li><li><span>Act as production test process expert for quality crisis root cause analysis , and action plan definition.</span></li></ul><br>Qualifications:
<br><ul><li><span>Bachelor’s Degree in Electronics/Mechanical/Industrial Engineering.</span></li><li><span>5+ years of experience in PCBA manufacturing test in production. Strong knowledge on PCBA manufacturing processes is a plus.</span><br></li></ul><br>Skills:
<br><ul><li><span>Demonstrating in Lean Manufacturing or continuous improvement methodologies.</span></li><li><span>Production support and trouble shooting in test area </span></li><li><span>Significative experience in Test operation in production, including maintenance is required (Flying probe programing on Takaya, functional testing).</span></li><li><span>Expert in Test processes and equipments in production.</span></li><li><span>Electronic PCBA defect root cause analysis capability (CI tools application)</span></li><li><span>Solid understanding on PCBA manufacturing processes.</span></li><li><span>Programation of flying Probe equipment (i.e. Takaya flying Probe).</span></li><li><span>IPC-A610 Class3 strong knowledge and application (Certification is a strong advantage)</span></li><li><span>Knowledge of ESD safety procedures and quality control practices.</span></li><li><span>Maintenance plan creation and realization experience in test equipment.</span></li><li><span>Good communication with pedagogic skills and spirit of synthesis.</span></li><li><span>High attention to detail and documentation accuracy.</span></li><li><span>Ability to work with multiple plant stakeholders, R&D engineers, and strongly support continuous improvement initiatives.</span></li><li><span>Safety oriented in operations, in line with EATON MESH and operational activities.</span></li></ul><br>What we offer you:
<br><ul><li><span>Being part of a company that has been in business for more than 100 years, is well known in the industry, and has a major impact on the energy industry</span></li><li><span>Work in a company that is commitment to Inclusion & Diversity and Sustainability</span></li><li><span>Annual mentoring program, Eaton University, a reward, and recognition system</span></li><li><span>Ongoing Learning and Career Development Opportunities in a global company. Build your career and apply internally for our open positions worldwide</span></li><li><span>Strong, agile and diverse team locally and globally</span></li><li><span>Strong processes and state-of-the-art systems and tools</span></li><li><span>Structured employee development processes, open feedback culture with development plans</span></li><li><span>Detailed induction support and well-structured onboarding</span></li><li><span>Balance your work and life with a hybrid worktime model</span></li></ul><br><p><span><strong>Living and Working in Dubai</strong></span></p><br><br><br><p><span>Dubai is an internationally connected city that offers strong professional opportunities within a truly global environment. Living and working in Dubai means being part of a diverse, forward‑looking business community, supported by modern infrastructure, excellent connectivity, and a well‑established expatriate ecosystem.</span></p><br><br><p><span>At Eaton, employees based in Dubai are part of a stable, well‑governed organization that brings together global teams, clear ways of working, and the flexibility needed to support both performance and long‑term career development.</span></p><br><br><p><span>#LI-NY1</span></p><br><br><br> </div>
GUNVOR
UAE
<h2 class="h5">Job description</h2>
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<p><b>Job Title:</b></p><br>Shipping Operations Executive<p><b>Contract Type:</b></p><br><p><b><b>Time Type:</b></b></p><br><p><b>Job Description:</b></p><br><p><b>Summary of Company</b></p><br><p>Clearlake Shipping, a subsidiary of Gunvor Group, is one of the largest charterers of tanker vessels in the world and an operator of tankers, LPG and LNG carriers. With a highly motivated and experienced team of freight traders and operators throughout the world, Clearlake Shipping covers chartering needs for the Group and the market. Since 2003, Clearlake Shipping has operated a high-quality fleet of tankers, LPG and LNG carriers on both a spot and time-charter basis to accommodate Gunvor’s growing needs for safe ocean transportation across all major routes, in addition to third-party business. Clearlake Shipping’s activities include chartering an average of 1,500 vessels annually across crude oil, products, chemicals, LPG, LNG, freight hedging (FFA), operations, claims handling and ship/terminal safety consultations.</p><br><p><b>Overview of Role</b></p><br><p>The position reports directly to the Regional Head of Operations of Clearlake Shipping and is located in the Dubai office. The operator will work closely with the Chartering/Freight department, Cargo Operations, traders, legal, claims, controls and technical stakeholders to provide day-to-day operational support for Dirty Petroleum Products, Clean Petroleum Products, LPG/LNG shipping activities across time-chartered, spot-chartered and third-party employment voyages.</p><br><p><b>Main Responsibilities</b></p><br><ul><li><p>Manage pre-fixture and post-fixture commercial operations on MR, LR1, LR2, Aframax, VLCC, LPG/LNG carriers, including spot and time-charter voyages.</p><br></li><li><p>Handle all pre-fixture related matters to clear nominated vessels for proposed voyages, including port/terminal restrictions, ship-shore compatibility, vessel screening and voyage-specific operational requirements.</p><br></li><li><p>Prepare and issue voyage instructions, stowage requirements and operational guidance to masters, owners, agents, terminals and internal stakeholders.</p><br></li><li><p>Support Chartering and Trading on Tankers, LPG/LNG operational feasibility, including cargo handling requirements, terminal compatibility, tank preparation, cool-down/gassing-up considerations, heel management, boil-off/fuel-gas mode considerations where applicable, and cargo contamination risk.</p><br></li><li><p>Monitor vessel movements, weather routing, speed and consumption; review performance and prepare claims against owners where applicable.</p><br></li><li><p>Optimize cargo stowage, bunkering, route planning and port turnaround to protect voyage economics and support safe operations.</p><br></li><li><p>Appoint port agents and relevant service providers; manage port cost, disbursement accounts and timely funding.</p><br></li><li><p>Manage LOIs in a timely manner, including coordination for authorized signature and onward transmission to relevant counterparties.</p><br></li><li><p>Coordinate non-commercial operations including bunkering, deslopping, STS support where applicable, towage, mooring and other voyage-related services.</p><br></li><li><p>Ensure all shipping activities comply with international and local regulations, including safety, security, environmental and terminal requirements.</p><br></li><li><p>Timely appointment of armed guards for transiting High Risk Areas and confirmation that relevant insurance cover is in place for applicable voyages.</p><br></li><li><p>Liaise with owners regarding oil major approvals, SIRE status and vessel acceptability for trading at all times.</p><br></li><li><p>Liaise closely with traders, trading operators, legal, claims, controls, technical teams, ship owners, shipbrokers, port agents and terminals to ensure smooth voyage execution.</p><br></li><li><p>Maintain accurate Operational System / IMOS data and update voyage P&L in a timely manner to provide reliable information to freight traders and management.</p><br></li><li><p>Work closely with the Controls team for hire payments, off-hires, deliveries, redeliveries, freight invoicing and final hire reconciliation.</p><br></li><li><p>Ensure that operational records are maintained in line with legal, fiscal and internal documentation requirements.</p><br></li><li><p>Provide required documents for interim port calculations and claims, including speed-up, slow-steaming, waiting time, heating/purging costs, charterers’ expenses and other voyage-related recoveries.</p><br></li><li><p>Act as a reliable point of contact for routine internal and external inquiries; escalate operational, financial, legal, compliance or reputational risks promptly.</p><br></li><li><p>Handle disputes, shortages, incidents and operational disruptions independently, escalating matters requiring additional mitigation.</p><br></li><li><p>Support the development of shipping strategies, process improvements and operational controls that improve efficiency, reduce cost and strengthen risk management.</p><br></li><li><p>Any other ad-hoc tasks as assigned by supervisor.</p><br></li></ul><p><b>Candidate’s Profile</b></p><br><p>The individual should have the following experience:</p><br><ul><li><p>Diploma in Maritime, Shipping, Logistics or a relevant qualification.</p><br></li><li><p>Minimum 8 years of work experience in Shipping Operations, preferably within a commodity trading house; strong candidates from ship owners, ship managers or gas-carrier operators may also be considered.</p><br></li><li><p>Demonstrable Tankers and/or LPG/LNG shipping operations experience, with exposure to gas carrier voyage management, gas carrier charter parties, terminal operations and cargo handling requirements.</p><br></li><li><p>Experience supporting traders/charterers in a fast-paced trading environment, with strong commercial awareness and understanding of voyage economics.</p><br></li><li><p>Knowledge of international, national and local shipping regulations, including safety, security, environmental and terminal compliance requirements.</p><br></li><li><p>Strong understanding of pre-fixture and post-fixture operations, voyage instructions, port agency management, LOIs, hire/freight processes, off-hire, claims and dispute resolution.</p><br></li><li><p>Familiarity with IMOS or comparable shipping systems, with disciplined data management and P&L awareness.</p><br></li><li><p>Ability to work independently under pressure, manage multiple voyages across time zones and make sound operational decisions with minimum supervision.</p><br></li><li><p>Strong communication, negotiation and stakeholder-management skills.</p><br></li><li><p>Self-motivated, structured, results driven and a strong team player.</p><br></li></ul><p><b>Preferred Experience / Advantageous Skills</b></p><br><ul><li><p>Prior experience with a leading energy or commodity trading house handling Tankers and/or LPG/LNG shipping operations.</p><br></li><li><p>Exposure to gas-carrier technical interfaces, including ship-shore compatibility, terminal vetting, cargo custody transfer, heel/fuel-gas considerations and voyage-specific operational constraints.</p><br></li><li><p>Experience with STS operations, Panama/Suez Canal transits, gas-carrier bunkering and claims under voyage/time-charter parties.</p><br></li><li><p>Sailing experience on Tankers, or shore-based technical exposure to LPG/LNG carriers, would be advantageous but is not mandatory.</p><br></li></ul><p><span>If you think the open position you see is right for you, we encourage you to apply!</span></p><br><p><br><b><i>Our people make all the difference in our success.</i></b></p><br> </div>
toto
UAE
<h2 class="h5">Job description</h2>
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<span>• To supervise and monitor all works carried out by machine shop workers for assigned jobs and ensure adherence to quality standards and timeframes thereby enabling timely execution of jobs<br>Responsibilities:<br>Functional Roles and Responsibilities<br>• Obtain the cutting list and drawing from the machine shop supervisor, prepare summary and check/allocate timber based on the density, moisture content, appearance and other specification required for the production.<br>• Assist machine shop supervisor in preparing Samples/ Mockup’s required for client/consultant approval.<br>• Organize cutting list and measurement of the various components in accordance with the approved drawing for the machine shop to start production.<br>• Supervise the work regularly, provide on the spot guidance to ensure high quality craftsmanship and keep machine shop supervisor posted on the progress of the work.<br>• Arrange movement of the various components to assembly section / paint shop in order to assemble the components in the form of a finished product in accordance with the sample<br>Qualifications:<br>Education/Certification and Continued Education<br>• Trade Certificate in Mechanical and relevant experience in Carpentry/joinery Institute/workshop<br>Years of Experience<br>• 3 - 5 years experience in the same trade</span> </div>
UAE - Dubai
AI Engineer (Machine Learning / Gen AI / LLM / Python) Role Description We are seeking an AI Engineer (Machine Learning / Gen AI / LLM / Python) to design, develop, and deploy intelligent AI solutions that drive business innovation and enhance operational capabilities. This role is responsible for building scalable artificial intelligence systems, developing machine learning models, and implementing Generative AI applications that support organizational objectives and digital transformation initiatives. The successful candidate will collaborate closely with data scientists, software engineers, product managers, researchers, and cross-functional stakeholders to deliver robust and production-ready AI solutions. You will evaluate business and technical requirements, design AI architectures, and implement machine learning workflows that meet performance, scalability, and reliability standards. Key responsibilities include developing, training, fine-tuning, and optimizing machine learning models for various AI applications. You will leverage modern AI technologies and frameworks to build intelligent systems capable of solving complex business challenges and improving user experiences across digital products and services. The role also involves designing and implementing Generative AI (Gen AI) solutions, including Large Language Model (LLM)-based applications, prompt engineering techniques, and Retrieval-Augmented Generation (RAG) architectures. You will contribute to the development of AI-powered tools such as conversational AI systems, intelligent assistants, content generation platforms, and enterprise AI applications. You will support the development and deployment of machine learning pipelines and AI services using Python and related technologies. In addition, you will integrate AI models with backend services, APIs, databases, and cloud-based environments to ensure seamless operation and scalability in production systems. This position requires close collaboration with multidisciplinary teams to evaluate model performance, improve inference efficiency, and implement best practices for AI model management and deployment. You will contribute to AI experimentation initiatives, conduct technical evaluations, and maintain comprehensive documentation throughout the AI development lifecycle. You will identify opportunities to improve AI workflows, adopt emerging technologies where appropriate, and stay current with industry trends and advancements within the rapidly evolving artificial intelligence landscape. Success in this role requires strong technical expertise, analytical thinking, problem-solving capabilities, and a passion for building impactful AI-driven solutions. This position offers the opportunity to contribute to cutting-edge AI initiatives by developing intelligent, scalable, and innovative solutions that create measurable business value and support sustainable technological growth across the organization.<br><br>Qualifications Bachelor's degree or Professional Qualification in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related discipline. Strong understanding of machine learning algorithms, deep learning architectures, and artificial intelligence principles. Knowledge of Generative AI (Gen AI), Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG) methodologies. Proficiency in Python and familiarity with modern AI and machine learning frameworks such as PyTorch, Tensor Flow, Scikit-learn, Hugging Face, or equivalent technologies. Familiarity with machine learning model development, training, evaluation, and optimization techniques. Understanding of natural language processing (NLP) concepts and LLM-based application development practices. Knowledge of AI model deployment methodologies, API integration, and scalable AI system architectures. Familiarity with vector databases, embeddings, AI agents, and modern Generative AI application frameworks is advantageous. Understanding of data preprocessing techniques, feature engineering practices, and machine learning pipeline development. Knowledge of cloud computing platforms and AI services used for machine learning and AI workloads is preferred. Familiarity with software development principles, version control systems such as Git, and collaborative engineering workflows. Proficiency in SQL and experience working with structured and unstructured datasets for AI applications. Ability to prepare technical documentation, AI solution specifications, model evaluation reports, and engineering materials accurately and professionally. Strong analytical thinking, technical problem-solving, and decision-making skills with excellent attention to detail. Excellent communication and interpersonal skills with the ability to collaborate effectively with multidisciplinary technical and business teams. Understanding of AI ethics, data privacy requirements, and responsible AI development practices. Strong organizational and time management skills with the ability to manage multiple AI initiatives and technical priorities effectively. Commitment to continuous learning, technological innovation, and professional development within the artificial intelligence domain. Professional, proactive, and results-oriented mindset with strong accountability, collaboration, and commitment to engineering excellence. Passion for developing intelligent, scalable, and impactful AI solutions that drive innovation and create long-term business value.
UAE - Dubai
Role Overview:<br>This is a critical “make-or-break” role responsible for connecting all factory machines—modern and legacy—to a centralized monitoring system. The engineer will determine, design, and implement the best method to extract machine data, whether through existing industrial protocols or custom-built sensor retrofits. The role combines industrial automation, IoT, embedded systems, and edge computing to enable real-time monitoring, analytics, and predictive maintenance across the plant.<br> Key Responsibilities<br>Machine Connectivity & Integration<br>* Audit all active machines to assess data availability and optimal connectivity approach.* Integrate modern machines using industrial communication protocols such as OPC-UA, Modbus, Profinet, APIs, and JDF/CIP4 (Heidelberg).* Design and implement connectivity solutions for both automated and manual machines.<br>Legacy Machine Retrofit Solutions<br>* Design sensor-based retrofits for machines without controllers or data ports.* Implement production counters, current/power sensors, vibration sensors, and optical/proximity sensors to capture:<br> * Machine run status * Production count * Basic machine health metrics<br>Embedded Systems & Hardware Development<br>* Design and develop embedded systems using ESP32, STM32, Raspberry Pi, or industrial MCUs.* Develop firmware (C/C++ / Micro Python) for sensor data acquisition and communication.* Design PCBs (basic level) and rugged enclosures suitable for industrial environments.* Ensure safe power design, isolation, and industrial-grade reliability.<br>IoT & Edge Computing<br>* Set up edge gateways for machine data collection.* Implement MQTT-based data pipelines from machines to cloud/platform.* Integrate REST APIs and other IoT communication protocols.* Work with platforms for real-time monitoring, data logging, and analytics.<br>Automation & Control Systems<br>* Program, troubleshoot, and integrate PLCs (Siemens, Allen-Bradley, Schneider, Delta).* Work with SCADA systems and industrial control networks.* Integrate sensors, actuators, and industrial devices into automation workflows.<br> Required Skills & Qualifications<br>* 2–3 years experience in IoT, embedded systems, or industrial automation.* Strong knowledge of PLCs and industrial protocols (Modbus, OPC-UA, Profinet).* Hands-on experience with sensors and instrumentation.* Experience with microcontrollers (ESP32, STM32) and embedded systems.* Experience with MQTT, REST APIs, and edge computing.* Understanding of networking fundamentals (Wi-Fi, Ethernet).* Ability to read electrical schematics and troubleshoot industrial systems.* Strong analytical and problem-solving skills.* Bachelor’s degree in Electronics, Electrical, Mechatronics, or related field.<br>Preferred (Nice to Have)<br>* Experience in printing/packaging machinery (Heidelberg, Prinect, CIP4/JDF).* Experience in OEE or machine monitoring systems.* Knowledge of RS485/Modbus and power monitoring systems.* Experience deploying large numbers of IoT devices in industrial environments.* Familiarity with Node-RED or Python-based IoT workflows.* Exposure to AI-based CCTV or video analytics systems.* Experience with ruggedized industrial hardware design.
UAE - Abu Dhabi
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph">About the Role:
We are seeking an experienced Artificial Intelligence Engineer to design, develop, and deploy advanced AI and machine learning solutions. The successful candidate will collaborate with cross-functional teams to deliver scalable, data-driven applications that drive business value. This role is ideal for professionals with 2–7 years of hands-on experience in machine learning, deep learning, and AI frameworks.
Responsibilities:
Design and implement scalable machine learning and deep learning models
Develop and maintain data pipelines for training and inference
Optimize model performance and ensure reliability in production environments
Collaborate with data scientists, software engineers, and stakeholders to define requirements and deliverables
Conduct research to evaluate and integrate emerging AI technologies
Document processes, code, and model performance metrics
Provide technical guidance and mentorship to junior team members
Required Qualifications:
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
2–7 years of experience in AI/ML engineering or a related role
Proficiency in Python and machine learning libraries such as TensorFlow, scikit-learn, and Pandas
Strong understanding of machine learning algorithms, statistical methods, and data science principles
Hands-on experience with deep learning frameworks (TensorFlow or PyTorch)
Experience with data preprocessing, feature engineering, and model deployment
Ability to write clean, maintainable code and perform code reviews
Strong problem-solving skills and attention to detail
Preferred Qualifications:
Master’s degree or higher in a technical field focused on AI or ML
Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)
Familiarity with MLOps tools and CI/CD pipelines for machine learning
Knowledge of natural language processing, computer vision, or reinforcement learning
Excellent communication and collaboration skills
Experience working in Agile development environments
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NMDC
UAE
<h2 class="h5">Job description</h2>
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<p>• Select the correct crane and accessories for the specific task<br>• Prepare the lift plan and ensure the required controls are in place<br>• Ensure that the lifting equipment is maintained, examined and appropriate for use<br>• Check that load integrity and stability are satisfactory<br>• Ensure that people involved are competent for performing their task, aware of the task and procedures to be followed,<br>and aware of their responsibilities<br>• Ensure competent supervisor available should the Appointed Person delegate his duties of part thereof to others<br>• Ensure all necessary test certificates and other documents are available<br>• Ensure all other statutory requirements and any necessary work permits are in place<br>• Identify all hazards and restricted areas<br>• Ensure that the person directing crane movements (Signaler / Banksman) is readily identifiable to the crane operator<br>by wearing high visibility clothing or distinguishing markings<br>• Ensure that the workplace is provided with adequate lighting for night lifting<br>• Brief people involved in or affected by the lift<br>• Ensure the lift is carried out following the plan. Suspend the lift if changes or conditions (e.g. wind) occur that would<br>cause a deviation from the plan<br>• Monitor the performance of all involved personnel to ensure that adequate standards of performance are maintained<br>• Manage any special issues such as language barriers and new/inexperienced staff<br>• Check that there is no deviation from standards for routine lifts<br>• Shall allow for concurrent or simultaneous operations that may affect or be affected by the lift, e.g., helicopter<br>operations, ballast control, other cranes</p><br><br>Responsibilities:<br><p>• Select the correct crane and accessories for the specific task<br>• Prepare the lift plan and ensure the required controls are in place<br>• Ensure that the lifting equipment is maintained, examined and appropriate for use<br>• Check that load integrity and stability are satisfactory<br>• Ensure that people involved are competent for performing their task, aware of the task and procedures to be followed,<br>and aware of their responsibilities<br>• Ensure competent supervisor available should the Appointed Person delegate his duties of part thereof to others<br>• Ensure all necessary test certificates and other documents are available<br>• Ensure all other statutory requirements and any necessary work permits are in place<br>• Identify all hazards and restricted areas<br>• Ensure that the person directing crane movements (Signaler / Banksman) is readily identifiable to the crane operator<br>by wearing high visibility clothing or distinguishing markings<br>• Ensure that the workplace is provided with adequate lighting for night lifting<br>• Brief people involved in or affected by the lift<br>• Ensure the lift is carried out following the plan. Suspend the lift if changes or conditions (e.g. wind) occur that would<br>cause a deviation from the plan<br>• Monitor the performance of all involved personnel to ensure that adequate standards of performance are maintained<br>• Manage any special issues such as language barriers and new/inexperienced staff<br>• Check that there is no deviation from standards for routine lifts<br>• Shall allow for concurrent or simultaneous operations that may affect or be affected by the lift, e.g., helicopter<br>operations, ballast control, other cranes</p><br><br>Qualifications:<br><p>1. 3 years Diploma in Mechanical Engineering or equivalent<br>2. 4-days Appointed Person Course by an ADNOC Offshore<br>Approved Training Provider is an added value<br>3. Minimum 5 years’ experience of offshore and onshore<br>lifting operations in a similar role in oil & gas industry<br> </p><br> </div>
M.E U Services
UAE - Dubai
<h2>Job Description</h2><h2>Position</h2><p><strong>Part-Time Data Entry Operator (Remote)</strong></p><p>We are currently hiring for the position of <strong>Part-Time Data Entry Operator (Remote)</strong>. The selected candidates will assist with data processing tasks while enjoying the flexibility of working from home.</p><h2>Job Details</h2><ul><li><strong>Role:</strong> Remote Data Entry & Digital Processing Assistant</li><li><strong>Work Arrangement:</strong> Fully Remote (Work From Home)</li><li><strong>Schedule:</strong> Part-Time with Flexible Hours (2–4 Hours Per Day)</li><li><strong>Earning Opportunity:</strong> AED 2,000 – AED 8,000 (Weekly or Monthly Payment Options Available)</li><li><strong>Employment Type:</strong> Contract-Based Remote Position</li><li><strong>Candidate Support:</strong> Complete training, instructions, and ongoing assistance will be provided.</li></ul><h2>What to Expect Next</h2><p>Our HR team will review your application. Shortlisted candidates will receive further details about the job role, application process, and joining procedure. The process can be completed online or at our Dubai office.</p><p>Limited positions available. Immediate starters will be preferred. Applications are reviewed on a first-come basis.</p><h2>Roles & Responsibilities</h2><ul><li>Enter data accurately into assigned systems.</li><li>Perform typing and basic copy-paste tasks.</li><li>Update and maintain digital records.</li><li>Review information for accuracy and completeness.</li><li>Organize documents and files properly.</li><li>Complete assigned tasks within deadlines.</li></ul><h2>Skills</h2><ul><li>Data Entry</li><li>Typing Skills</li><li>Copy-Paste Operations</li><li>Basic Computer Knowledge</li><li>Microsoft Word & Excel</li><li>Data Verification</li><li>Digital Documentation</li><li>Attention to Detail</li></ul><h2>Preferred Candidate</h2><h3>Career Level</h3><p>Entry level</p>
About the Role On behalf of Huawei, a world-renowned IT and Communications Company, We are looking for an experienced Telecom Services Solution Manager (Presales) to support carrier service and software solution development across the Middle East region. This customer-facing role combines telecom presales, solution consulting, service commercial design, bid management, and strategic customer engagement. The successful candidate will play a key role in developing carrier service opportunities, supporting bidding activities, and driving service solution strategies.<br><br>Key Responsibilities Develop carrier service and software solution opportunities Analyze customer requirements and develop competitive service solutions Support telecom service strategy, business development, and market insights Lead the service solution design for telecom operators Prepare service commercial proposals and bidding documentation Interpret customer RFPs and coordinate internal bidding activities Participate in customer clarification meetings and technical presentations Support branding activities including summits, exhibitions, and executive customer visits Build strong relationships with telecom operator customers Work closely with internal sales, delivery, and product teams<br><br>Requirements Bachelor's Degree in Telecommunications, Computer Science, IT, or related discipline Minimum 5 years of experience in Telecom Presales, Professional Services, or Solution Management Experience supporting telecom operator projects Experience with telecom service or software solutions<br><br>Knowledge of one or more of the following is preferred Smart Care Managed Services (MS) Data Center Services Telecom Software Solutions<br><br>Preferred experience with Huawei LTC process Carrier biding Commercial proposal preparation RFP/RFQ response Service commercial design<br>Languages English Chinese / Mandarin<br>Preferred Skills Telecom Presales Professional Services Bid Management Service Commercial Design Telecom Solution Consulting Managed Services Customer Engagement Carrier Business RFP Response Solution Design
UAE - Dubai
Role Purpose To manage and control all plant and equipment operations for infrastructure projects, ensuring machinery, vehicles, and heavy equipment are available, safe, compliant, and utilised efficiently to support uninterrupted project delivery and productivity. Key Accountabilities Oversee daily operations of all plant, heavy equipment, and vehicles across assigned projects/sites. Coordinate allocation and mobilisation of plant/equipment in line with project requirements and programme priorities. Monitor plant utilisation, productivity, fuel consumption, downtime, and operator performance; implement corrective actions to improve efficiency. Ensure all plant and equipment are maintained in safe working condition through planned preventive maintenance and timely breakdown response. Supervise plant operators, mechanics, drivers, and plant support teams; enforce discipline, competency, and safe operating practices. Ensure compliance with HSE requirements, inspections, certifications, permits, and statutory regulations for all plant/equipment operations. Coordinate with Procurement and Stores for spare parts, consumables, repairs, rentals, and vendor support. Maintain accurate records for plant movements, service schedules, inspections, breakdowns, fuel usage, and utilisation reporting. Support project teams with lifting plans, access requirements, logistics coordination, and equipment selection for specific activities. Conduct regular inspections of plant yards, workshops, and site equipment to ensure proper housekeeping and operational readiness. Investigate equipment incidents/breakdowns and implement preventive measures to minimise repeat failures and operational disruption. Qualifications, Experience, Knowledge & Skills • Diploma or Degree in Mechanical Engineering / Plant Engineering / Heavy Equipment Management (preferred). <br>• Relevant operator/plant management certifications preferred.<br>• 10+ years experience managing heavy plant/equipment operations within infrastructure or civil construction projects. <br>• Strong experience with earthmoving equipment, cranes, generators, asphalt/concrete equipment, utility equipment, and transport fleet operations. <br>• UAE/GCC infrastructure project experience preferred.
UAE - Dubai
Role Purpose To manage and control all plant and equipment operations for infrastructure projects, ensuring machinery, vehicles, and heavy equipment are available, safe, compliant, and utilised efficiently to support uninterrupted project delivery and productivity. Key Accountabilities Oversee daily operations of all plant, heavy equipment, and vehicles across assigned projects/sites. Coordinate allocation and mobilisation of plant/equipment in line with project requirements and programme priorities. Monitor plant utilisation, productivity, fuel consumption, downtime, and operator performance; implement corrective actions to improve efficiency. Ensure all plant and equipment are maintained in safe working condition through planned preventive maintenance and timely breakdown response. Supervise plant operators, mechanics, drivers, and plant support teams; enforce discipline, competency, and safe operating practices. Ensure compliance with HSE requirements, inspections, certifications, permits, and statutory regulations for all plant/equipment operations. Coordinate with Procurement and Stores for spare parts, consumables, repairs, rentals, and vendor support. Maintain accurate records for plant movements, service schedules, inspections, breakdowns, fuel usage, and utilisation reporting. Support project teams with lifting plans, access requirements, logistics coordination, and equipment selection for specific activities. Conduct regular inspections of plant yards, workshops, and site equipment to ensure proper housekeeping and operational readiness. Investigate equipment incidents/breakdowns and implement preventive measures to minimise repeat failures and operational disruption. Qualifications, Experience, Knowledge & Skills • Diploma or Degree in Mechanical Engineering / Plant Engineering / Heavy Equipment Management (preferred). <br>• Relevant operator/plant management certifications preferred.<br>• 10+ years experience managing heavy plant/equipment operations within infrastructure or civil construction projects. <br>• Strong experience with earthmoving equipment, cranes, generators, asphalt/concrete equipment, utility equipment, and transport fleet operations. <br>• UAE/GCC infrastructure project experience preferred.
UAE - Dubai
Role Purpose To manage and control all plant and equipment operations for infrastructure projects, ensuring machinery, vehicles, and heavy equipment are available, safe, compliant, and utilised efficiently to support uninterrupted project delivery and productivity. Key Accountabilities Oversee daily operations of all plant, heavy equipment, and vehicles across assigned projects/sites. Coordinate allocation and mobilisation of plant/equipment in line with project requirements and programme priorities. Monitor plant utilisation, productivity, fuel consumption, downtime, and operator performance; implement corrective actions to improve efficiency. Ensure all plant and equipment are maintained in safe working condition through planned preventive maintenance and timely breakdown response. Supervise plant operators, mechanics, drivers, and plant support teams; enforce discipline, competency, and safe operating practices. Ensure compliance with HSE requirements, inspections, certifications, permits, and statutory regulations for all plant/equipment operations. Coordinate with Procurement and Stores for spare parts, consumables, repairs, rentals, and vendor support. Maintain accurate records for plant movements, service schedules, inspections, breakdowns, fuel usage, and utilisation reporting. Support project teams with lifting plans, access requirements, logistics coordination, and equipment selection for specific activities. Conduct regular inspections of plant yards, workshops, and site equipment to ensure proper housekeeping and operational readiness. Investigate equipment incidents/breakdowns and implement preventive measures to minimise repeat failures and operational disruption. Qualifications, Experience, Knowledge & Skills • Diploma or Degree in Mechanical Engineering / Plant Engineering / Heavy Equipment Management (preferred). <br>• Relevant operator/plant management certifications preferred.<br>• 10+ years experience managing heavy plant/equipment operations within infrastructure or civil construction projects. <br>• Strong experience with earthmoving equipment, cranes, generators, asphalt/concrete equipment, utility equipment, and transport fleet operations. <br>• UAE/GCC infrastructure project experience preferred.
UAE - Dubai
Role Purpose To manage and control all plant and equipment operations for infrastructure projects, ensuring machinery, vehicles, and heavy equipment are available, safe, compliant, and utilised efficiently to support uninterrupted project delivery and productivity. Key Accountabilities Oversee daily operations of all plant, heavy equipment, and vehicles across assigned projects/sites. Coordinate allocation and mobilisation of plant/equipment in line with project requirements and programme priorities. Monitor plant utilisation, productivity, fuel consumption, downtime, and operator performance; implement corrective actions to improve efficiency. Ensure all plant and equipment are maintained in safe working condition through planned preventive maintenance and timely breakdown response. Supervise plant operators, mechanics, drivers, and plant support teams; enforce discipline, competency, and safe operating practices. Ensure compliance with HSE requirements, inspections, certifications, permits, and statutory regulations for all plant/equipment operations. Coordinate with Procurement and Stores for spare parts, consumables, repairs, rentals, and vendor support. Maintain accurate records for plant movements, service schedules, inspections, breakdowns, fuel usage, and utilisation reporting. Support project teams with lifting plans, access requirements, logistics coordination, and equipment selection for specific activities. Conduct regular inspections of plant yards, workshops, and site equipment to ensure proper housekeeping and operational readiness. Investigate equipment incidents/breakdowns and implement preventive measures to minimise repeat failures and operational disruption. Qualifications, Experience, Knowledge & Skills • Diploma or Degree in Mechanical Engineering / Plant Engineering / Heavy Equipment Management (preferred). <br>• Relevant operator/plant management certifications preferred.<br>• 10+ years experience managing heavy plant/equipment operations within infrastructure or civil construction projects. <br>• Strong experience with earthmoving equipment, cranes, generators, asphalt/concrete equipment, utility equipment, and transport fleet operations. <br>• UAE/GCC infrastructure project experience preferred.
UAE - Dubai
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Develop AI models and algorithms for various applications.</p></li><li><p>Implement machine learning solutions to solve complex problems.</p></li><li><p>Collaborate with cross-functional teams to design and deploy AI-powered systems.</p></li><li><p>Analyze and interpret large datasets to extract useful insights.</p></li><li><p>Stay current with the latest trends and advancements in AI and machine learning technologies.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Engineering, or related field.</p></li><li><p>Solid understanding of machine learning algorithms and principles.</p></li><li><p>Proficiency in programming languages such as Python, Java, or C++.</p></li><li><p>Experience with AI frameworks like TensorFlow, PyTorch, or scikit-learn.</p></li><li><p>Strong analytical and problem-solving skills.</p></li></ul><p></p></section>
UAE - Dubai
Role: AI/ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI/ML Engineer to work on a contract basis. The role involves developing and deploying machine learning models to solve complex business problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems.<br>Key Responsibilities:• Design, develop, and optimize machine learning models using Python and relevant frameworks.• Preprocess, clean, and transform large datasets to prepare them for model training.• Deploy and monitor machine learning models in production environments.• Collaborate with software engineers to integrate AI solutions into existing infrastructure.• Conduct performance benchmarking and model validation to ensure accuracy and efficiency.<br>Required Skills & Qualifications:• Proficiency in Python with experience in machine learning libraries such as Tensor Flow or PyTorch.• Experience with data preprocessing, feature engineering, and model evaluation.• Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment and scaling.• Familiarity with MLOps practices, including CI/CD pipelines for machine learning.• Strong problem-solving skills with the ability to translate business requirements into technical solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of scalable AI solutions for enterprise applications. The position provides exposure to cutting-edge technologies and the chance to impact high-impact projects.<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!
UAE - Dubai
Role: AI/ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI/ML Engineer to work on a contract basis. The role involves developing and deploying machine learning models to solve complex business problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems.<br>Key Responsibilities:• Design, develop, and optimize machine learning models using Python and relevant frameworks.• Preprocess, clean, and transform large datasets to prepare them for model training.• Deploy and monitor machine learning models in production environments.• Collaborate with software engineers to integrate AI solutions into existing infrastructure.• Conduct performance benchmarking and model validation to ensure accuracy and efficiency.<br>Required Skills & Qualifications:• Proficiency in Python with experience in machine learning libraries such as Tensor Flow or PyTorch.• Experience with data preprocessing, feature engineering, and model evaluation.• Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment and scaling.• Familiarity with MLOps practices, including CI/CD pipelines for machine learning.• Strong problem-solving skills with the ability to translate business requirements into technical solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of scalable AI solutions for enterprise applications. The position provides exposure to cutting-edge technologies and the chance to impact high-impact projects.<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!
UAE - Dubai
Role: AI/ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI/ML Engineer to work on a contract basis. The role involves developing and deploying machine learning models to solve complex business problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems.<br>Key Responsibilities:• Design, develop, and optimize machine learning models using Python and relevant frameworks.• Preprocess, clean, and transform large datasets to prepare them for model training.• Deploy and monitor machine learning models in production environments.• Collaborate with software engineers to integrate AI solutions into existing infrastructure.• Conduct performance benchmarking and model validation to ensure accuracy and efficiency.<br>Required Skills & Qualifications:• Proficiency in Python with experience in machine learning libraries such as Tensor Flow or PyTorch.• Experience with data preprocessing, feature engineering, and model evaluation.• Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment and scaling.• Familiarity with MLOps practices, including CI/CD pipelines for machine learning.• Strong problem-solving skills with the ability to translate business requirements into technical solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of scalable AI solutions for enterprise applications. The position provides exposure to cutting-edge technologies and the chance to impact high-impact projects.<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!
UAE - Dubai
Role: AI/ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI/ML Engineer to work on a contract basis. The role involves developing and deploying machine learning models to solve complex business problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems.<br>Key Responsibilities:• Design, develop, and optimize machine learning models using Python and relevant frameworks.• Preprocess, clean, and transform large datasets to prepare them for model training.• Deploy and monitor machine learning models in production environments.• Collaborate with software engineers to integrate AI solutions into existing infrastructure.• Conduct performance benchmarking and model validation to ensure accuracy and efficiency.<br>Required Skills & Qualifications:• Proficiency in Python with experience in machine learning libraries such as Tensor Flow or PyTorch.• Experience with data preprocessing, feature engineering, and model evaluation.• Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment and scaling.• Familiarity with MLOps practices, including CI/CD pipelines for machine learning.• Strong problem-solving skills with the ability to translate business requirements into technical solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of scalable AI solutions for enterprise applications. The position provides exposure to cutting-edge technologies and the chance to impact high-impact projects.<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!
UAE - Dubai
Role: AI/ML Engineer - Computer Vision (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI/ML Engineer to work on a contract basis. The role involves developing and deploying machine learning models to solve complex business problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems.<br>Key Responsibilities:• Design, develop, and optimize machine learning models using Python and relevant frameworks.• Preprocess, clean, and transform large datasets to prepare them for model training.• Deploy and monitor machine learning models in production environments.• Collaborate with software engineers to integrate AI solutions into existing infrastructure.• Conduct performance benchmarking and model validation to ensure accuracy and efficiency.<br>Required Skills & Qualifications:• Proficiency in Python with experience in machine learning libraries such as Tensor Flow or PyTorch.• Experience with data preprocessing, feature engineering, and model evaluation.• Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment and scaling.• Familiarity with MLOps practices, including CI/CD pipelines for machine learning.• Strong problem-solving skills with the ability to translate business requirements into technical solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of scalable AI solutions for enterprise applications. The position provides exposure to cutting-edge technologies and the chance to impact high-impact projects.<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!