Machine operator Jobs

<ul><li><p>To assist the Operator, Cell Relining in the refurbishment of superstructures, cell relining activities such as pot changing, rebuilding pot shell and ensure these are carried out in accordance with standard procedures, safely and efficiently to achieve maximum production. KEY ACCOUNTABILITIES: Assists cell relining operator preparing in advance all necessary tools and equipment required for casting prior to actual operations taking place in a safe and efficient manner.Operates mobile equipment such as forklift, pay loader etc., as required complying with all safety procedures.Assists cell relining operator bricks lining in accordance with required standards and specified designs. Assists in carrying out superstructure refurbishment, welding and fabrication jobs, and capable of performing ramming processes.Maintains a high standard of housekeeping at all times.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum Qualifications:Completion of training modules specified for PG5 positionMinimum Experience:One year of experience in heavy industry is preferable. Skills:Completion of the following courses :Aluminium/Water ExplosionsElectrical hazardsPossession of Forklift</p></li></ul>

<ul><li><p>To assist the Operator, Cell Relining in the refurbishment of superstructures, cell relining activities such as pot changing, rebuilding pot shell and ensure these are carried out in accordance with standard procedures, safely and efficiently to achieve maximum production. KEY ACCOUNTABILITIES: Assists cell relining operator preparing in advance all necessary tools and equipment required for casting prior to actual operations taking place in a safe and efficient manner.Operates mobile equipment such as forklift, pay loader etc., as required complying with all safety procedures.Assists cell relining operator bricks lining in accordance with required standards and specified designs. Assists in carrying out superstructure refurbishment, welding and fabrication jobs, and capable of performing ramming processes.Maintains a high standard of housekeeping at all times.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum Qualifications:Completion of training modules specified for PG5 positionMinimum Experience:One year of experience in heavy industry is preferable. Skills:Completion of the following courses :Aluminium/Water ExplosionsElectrical hazardsPossession of Forklift</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>KEY RESPONSIBILITY</strong></p><ol type="1"><li><p>Follow instructions given by Supervisor / Foreman &amp; Clerk.</p></li><li><p>Forklift Operator should be able to assess usage appropriate Forklift to handle de-stuffing &amp; stuffing of Container.</p></li><li><p>Forklift Operator should segregate cargo being de-stuffed from the container &amp; load cargo onto the trailer or into the container in a safe manner.</p></li><li><p>Ensure safety measures are taken prior to carry out operation.</p></li><li><p>Forklift Operator should report break down of equipment to the immediate supervisor.</p></li><li><p>To ensure Forklift truck are always in good condition and report any faults or damage immediately to the supervisor.</p></li><li><p>To pre-check equipment before operating thus following warehouse safety procedures at all times.</p></li><li><p>Prior to operating machinery ensure the respective area is clear of pedestrians or obstacles for safety purposes.</p></li><li><p>To ensure mechanical / electrical defects to the allotted machinery is rectified to avoid wastage in time and cost.</p></li></ol><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>with UAE forklift license</p><p></p></section>

External Job Description<br><br>The Training Lead is responsible for designing, implementing, and continuously improving Pulse Nova's manufacturing training and competency framework to ensure a skilled, compliant, and production-ready workforce.<br><br>The role oversees role-based training programs, operator certification, skills management, and standardized work while ensuring alignment with quality, safety, and operational requirements.<br><br>Working closely with Production, Engineering, Quality, and HSE, the Training Lead drives workforce capability, training governance, and continuous improvement to support operational excellence within a regulated defense manufacturing environment.<br><br>Responsibilities<br><br>Design, deploy and maintain the training system to support safe, repeatable and high‑quality production execution Define role‑based training paths and manage the skills matrix, ensuring onboarding, certification/ re‑certification are executed on time Develop and maintain training standards and content (standard work, visual aids, work instructions, assessments) with strong document control Execute operator qualification and skills testing, tracking training records and ensuring full traceability for audits and production readiness Establish training governance with Production TL (cadence, metrics, audits) and coach leaders on on‑the‑job training best practices Monitor training KPIs (time‑to‑competence, certification coverage, training compliance) and link outcomes to shopfloor performance (FPY, defects, scrap) Ensure training is updated and deployed after engineering changes or process updates (ECNs), and aligned with CI/Lean improvements<br><br>Requirements<br><br>5-7+ years in manufacturing training / industrial learning roles, preferably in high‑mix or high‑reliability production environments Proven experience deploying skills matrices, certification frameworks and standardized work training at shopfloor level Solid understanding of Lean/CI principles and daily management routines (standard work, 5S, problem solving) Ability to create operator‑friendly training materials and assessments, and to run train‑the‑trainer / coaching programs Experience working with Quality, Engineering and HSE to maintain training compliance, documentation and audit readiness

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a skilled Mobile Crane Operator to operate cranes ranging from 50 to 150 tons for lifting and material handling activities on project sites. The role requires safe operation in compliance with site HSE requirements and approved lifting plans.</p><p>We are seeking a skilled <b>Mobile Crane Operator</b> to operate cranes ranging from <b>50 to 150 tons</b> for lifting and material handling activities on project sites. The role requires safe operation in compliance with site HSE requirements and approved lifting plans.</p><p><br></p><p>Key Responsibilities</p><ul><li>Operate mobile cranes (50–150 tons) safely and efficiently.</li><li>Follow approved lifting plans, method statements, and signals.</li><li>Conduct daily equipment checks and report any defects.</li><li>Coordinate with lifting supervisors and rigging teams.</li><li>Ensure compliance with site HSE and safety procedures.</li><li>Support lifting operations for construction and project activities.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Requirements</p><ul><li>Valid mobile crane operator license/certification.</li><li>Proven experience operating 50 to 150-ton cranes.</li><li>Knowledge of safe lifting practices and site safety rules.</li><li>Medically fit and safety-conscious.</li><li>Oil &amp; Gas or construction project experience preferred.</li></ul><p><br></p></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>To assist the Operator, Cell Relining in the refurbishment of superstructures, cell relining activities such as pot changing, rebuilding pot shell and ensure these are carried out in accordance with standard procedures, safely and efficiently to achieve maximum production. KEY ACCOUNTABILITIES: Assists cell relining operator preparing in advance all necessary tools and equipment required for casting prior to actual operations taking place in a safe and efficient manner. Operates mobile equipment such as forklift, pay loader etc., as required complying with all safety procedures. Assists cell relining operator bricks lining in accordance with required standards and specified designs. Assists in carrying out superstructure refurbishment, welding and fabrication jobs, and capable of performing ramming processes. Maintains a high standard of housekeeping at all times.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum Qualifications: Completion of training modules specified for PG5 position Minimum Experience: One year of experience in heavy industry is preferable. Skills: Completion of the following courses : Aluminum/Water Explosions Electrical hazards Possession of Forklift License Category 7</p></li></ul><p></p></section>

Job Description<br><br>Acting as Subject Matter Expert for Fixed Access and GPON Setup. Resolving the Network and Customer TTs for GOPN, P2P enterprise and Consumer setup. Knowledge of Huawei Nokia GPON Setup and CISCO Routing and MPLS Networks Handling and interacting with Customer Assurance teams for Enterprise and Fixed TTs. Handling issues for IIB layer for Nokia and CISCOTo perform optimization of traffic to have best customer experience. Capacity triggers and follow-up for capacity expansion for IIB layer Performing Customer TT analysis and handling. Handling troubleshooting for Fixed Access and IIB nodes/solutions in close coordination with other teams. Running daily/weekly health checks for the owned nodes/domains. Provide the needed-on time support and troubleshooting for all issues happens in Fixed Access and IIB domain. Do the needful escalation and involve vendors on time affecting manner in case of need and ensuring adequate follow up and problem resolution within contracted SLAs. Performing periodic analysis of performance reports and observations to proactively prevent issues from occurring Handling daily Trouble Tickets as per du operation policies and scope of work. Oversee the provisioning of periodic and ad-hoc reports to planning team to help in the capacity planning and future upgrades of service delivery platforms and Data-Centers network. Providing the needed update for RFO – Reason for outage (if any)/following up all recommendation to avoid re-occurrence of similar faults till it take place. Assisting different planning teams/Acceptance Team in all Network Nodes Integrations, propose/attend ATP to assure redundancy, symmetry and best ways of integration are used. Maintains an up-to-date documentation/diagrams of the existing devices/solutions to help in troubleshooting issues and share them with other technical teams if required Work closely with planning team(s) on capacity planning, upgrades, and design issues related to existing solutions Perform periodic health checks, preventive maintenance service delivery platforms and Data Centers network to identify potential problems or loopholes and testing the redundancy. Ensure that all network elements and support systems are appropriately redundant and backed up in accordance with agreed policies wherever applicable. Review all the documentation presented by either vendors or Network Development for any new network elements or technologies introduced into the network. Ensure monitoring and analysis of vendor performance as well as managing the vendor relationship together with the Vendor Management Organization Develop technical reports and documentation Work on any network disasters, prepare and implement alternative plans and finally restore network to deliver specified service levels. Support all efforts for releasing DR runbooks in order to allow for successful service restoration in case of crisis. Review, approve, prepare MOP and implement CRs for different du business need<br><br>Qualifications<br><br> Bachelor of Science in Electrical, Electronics, or Telecommunication Engineering. Leadership and management certifications. <br><br>Experience<br><br> Minimum 8 years of experience in Telecom Domain. CCIE is preferred More than 5-7 years of experience in Routing and Switching. Experience relationship management inside and outside organization. Exposure to Virtualization and Related Operational Techniques <br><br>Skills<br><br> Should have experience on legacy platforms – N7K, N5K, 7600, 6500, 3750, 2960 routers and switches Should have knowledge on Juniper, Cisco, Huawei, Fortinet firewalls Knowledge of IIB and GPON technologies for Nokia, CISCO and Huawei CCNA is must and preferred in case of CCIE Experience in MPLS networks and handling corresponding Routers and Switches Knowledge of Routing protocols, BGP/OSPF/BFD and expert in related configurations Working level understanding of DNS and DHCP solutions Problem Solving and Decision Making Team Work and Cooperation Good communication skills Initiative and Commitment to Achieve Excellent understanding of security infrastructure components and building highly available computing environment Must have exceptional customer focus – internally and externally Able to handle multiple complex problems in a highly stressful environment <br><br>About Us<br><br>Who we are: A young UAE based company focused on finding talented people, helping them and our clients to grow<br><br>What we do: Delivering great customer experiences is at the heart of what we do. We do this by creating meaningful connections between brands and their customers, by providing the right people who seamlessly integrate into our clients’ organizations to deliver great experiences.<br><br>About The Team<br><br>About Emirates integrated Telecommunications Company PJSC<br><br>The Emirates Integrated Telecommunications Company PJSC was founded in 2005. We are the UAE’s second licensed telecommunications operator. We operate under two brands: du (launched in 2007) and Virgin Mobile the region’s first digital service (started operations in September 2017). We are listed on the Dubai Financial Market (DFM) and trade under the DU ticker (Bloomberg DU UH, Refinitiv DU. DU). Our core shareholders are government-related entities (Emirates Investment Authority 50.12%, Emirates International Telecommunications 19.7%, Mamoura Diversified Global Holding PJSC 10.06%) and the remaining by public shareholders.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; 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>

<p>Machine Learning Engineer Location: Abu Dhabi, Dubai, Fujairah, UAE (Hybrid) Contract Duration: Initial 6-Month Contract with possibility of extension Employment Type: Freelance / Independent Contractor About the Role We are seeking an experienced Machine Learning Engineer to join our team on an initial 6-month freelance contract. This is a hybrid role offering a combination of onsite and remote work. The successful candidate will be responsible for designing, developing, deploying, and maintaining machine learning solutions that support key business initiatives. This opportunity offers the potential for extension beyond the initial contract period, subject to project requirements and performance. Key Responsibilities Design, develop, and deploy scalable machine learning models and AI solutions. Build and maintain end-to-end machine learning pipelines for data ingestion, training, testing, and deployment. Collaborate with data scientists, data engineers, and business stakeholders to deliver production-ready solutions. Optimize machine learning models to improve performance, scalability, and reliability. Implement MLOps best practices for model deployment, monitoring, and maintenance. Work with large datasets to extract insights and improve model effectiveness. Develop APIs and services to support machine learning applications in production environments. Ensure data quality, model accuracy, and compliance with organizational standards. Troubleshoot issues related to model performance and deployment. Stay up to date with emerging AI and machine learning technologies.</p><p>Required Skills & Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. 4+ years of experience in Machine Learning Engineering, AI Development, or related roles. Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. Experience building and deploying machine learning models in production environments. Strong understanding of software engineering principles and development best practices. Experience with SQL and data processing technologies. Familiarity with cloud environments such as AWS, Azure, or Google Cloud Platform. Experience with Docker, Kubernetes, and containerized deployments. Knowledge of CI/CD pipelines and MLOps methodologies. Excellent problem-solving and communication skills. Ability to work independently in a freelance consulting environment. Preferred Qualifications Experience with Large Language Models (LLMs) and Generative AI solutions. Experience with Databricks, Spark, or other big data technologies. Knowledge of model monitoring, governance, and Responsible AI practices. Experience working in enterprise-scale environments. Previous experience delivering projects within the UAE or GCC region. Apply Now If you are passionate about AI and machine learning and enjoy building scalable, production-grade solutions, we would love to hear from you. Please note: This opportunity is open to freelancers/independent contractors only and requires availability for a hybrid working arrangement in UAE.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Machine Learning Engineer</p><p><br></p><p>Location: Abu Dhabi, Dubai, Fujairah, UAE (Hybrid)</p><p>Contract Duration: Initial 6-Month Contract with possibility of extension</p><p>Employment Type: Freelance / Independent Contractor</p><p><br></p><p>About the Role</p><p>We are seeking an experienced Machine Learning Engineer to join our team on an initial 6-month freelance contract. This is a hybrid role offering a combination of onsite and remote work.</p><p>The successful candidate will be responsible for designing, developing, deploying, and maintaining machine learning solutions that support key business initiatives. This opportunity offers the potential for extension beyond the initial contract period, subject to project requirements and performance.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy scalable machine learning models and AI solutions.</li><li>Build and maintain end-to-end machine learning pipelines for data ingestion, training, testing, and deployment.</li><li>Collaborate with data scientists, data engineers, and business stakeholders to deliver production-ready solutions.</li><li>Optimize machine learning models to improve performance, scalability, and reliability.</li><li>Implement MLOps best practices for model deployment, monitoring, and maintenance.</li><li>Work with large datasets to extract insights and improve model effectiveness.</li><li>Develop APIs and services to support machine learning applications in production environments.</li><li>Ensure data quality, model accuracy, and compliance with organizational standards.</li><li>Troubleshoot issues related to model performance and deployment.</li><li>Stay up to date with emerging AI and machine learning technologies.</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience with Large Language Models (LLMs) and Generative AI solutions.</li><li>Experience with Databricks, Spark, or other big data technologies.</li><li>Knowledge of model monitoring, governance, and Responsible AI practices.</li><li>Experience working in enterprise-scale environments.</li><li>Previous experience delivering projects within the UAE or GCC region.</li></ul><p><br></p><p>Apply Now</p><p>If you are passionate about AI and machine learning and enjoy building scalable, production-grade solutions, we would love to hear from you.</p><p>Please note: This opportunity is open to freelancers/independent contractors only and requires availability for a hybrid working arrangement in UAE.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Required Skills &amp; Experience</p><ul><li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.</li><li>4+ years of experience in Machine Learning Engineering, AI Development, or related roles.</li><li>Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Experience building and deploying machine learning models in production environments.</li><li>Strong understanding of software engineering principles and development best practices.</li><li>Experience with SQL and data processing technologies.</li><li>Familiarity with cloud environments such as AWS, Azure, or Google Cloud Platform.</li><li>Experience with Docker, Kubernetes, and containerized deployments.</li><li>Knowledge of CI/CD pipelines and MLOps methodologies.</li><li>Excellent problem-solving and communication skills.</li><li>Ability to work independently in a freelance consulting environment.</li></ul><p><br></p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Drone Operator with experience in both conventional and FPV drone operations, holding valid DCAA and GCAA training certificates.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Drone Operator with experience in both conventional and FPV drone operations, holding valid DCAA and GCAA training certificates.</p></div>

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.

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

<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 &amp; 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 &amp; 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 &amp; 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>

<p>Designation - BMS Operator Qualification - Diploma or BE Experience - 1 to 5 years Salary - 1500 to 2000 AED Free Accommodation &amp; Transport Visa Type - Work Visa Location - DUABI Contact HR Shruthi - PHONE_NUMBER</p><p><strong>Desired Candidate Profile</strong></p><p>Nature of work - BMS Operator Industry - Manufacturing Industry Skills Required System Knowledge BMS Software Proficiency Alarm &amp; Fault Monitoring Blueprint Reading Energy Management:</p>

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.

<p><br></p><ul><li><p>Strong knowledge of machine operation & safety.</p></li><li><p>Knowledge of UHT processing plant & down line</p></li><li><p>Operate different machine as per requirement in UHT, Ice cream & Dairy section.</p></li><li><p>Carried out CIP operation as per procedure.</p></li><li><p>To take prompt action in case of any machine breakdowns</p></li><li><p>Mount proper tooling, observe the machines in operation and make adjustments to control the rate of production.</p></li><li><p>Minor repairs or performing minor machine maintenance, such as oiling and cleaning.</p></li><li><p>Online product quality check.</p></li><li><p>Able to fill on line parameter of machine, Filling & Packing log sheet.</p></li><li><p>Monitor performance to production schedules & inventory of raw materials packing material & finished goods.</p></li><li><p>To keep close watch on physical stock of products & Follow FIFO methodology.</p></li><li><p>To look after general cleanliness of the plant, machine, & equipment.</p></li><li><p>Meet production KPI [Increase Yield, Reduce wastage, Increase productivity].</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Education & Experience</p><ul><li><p>High School/ ITI diploma</p></li><li><p>3-5 years’ experience in similar role</p></li></ul><p>Specific Knowledge</p><ul><li><p>Knowledge of English, Hindi</p></li><li><p>Smart, hardworking, committed and dedicated</p></li></ul>

<ul><li><p>Ensure that all plant and equipment under his control are operated in a safe and efficient manner.Ensure that all instructions are carried out promptly and efficiently.Record routine parameter readings on regular basis and report deviations.Inform the Supervisor (or) control room of any abnormalities/problems on equipmentEnsure standby equipment is readily available for service in an emergency.Assist in carrying out routine testing/re-commissioning of plant after maintenance outages.Adopt safe working practices to ensure personal and plant safety.Identify hazards and participate effectively in reporting system.Maintain good standards of housekeeping.Must be fully conversant with all emergency procedures related to the equipment in his designated area of responsibilityCarry out on the job trainingStrive to achieve increased competencyJebel Ali Site, additional rolesOperator Turbine & BoilerAssistant OperatorAt Jebel Ali Site, for the roles of Operator Turbine & Boiler and Assistant Operator, the above accountabilities will be restricted to Gas Turbines, Steam Turbines, associated plant equipment and related utilities.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum Qualifications</p><ul><li><p>Higher Secondary School Certificate.</p></li></ul><p>Minimum Experience</p><ul><li><p>4 years of experience in a power station.</p></li><li><p>2 years of experience as a Desalination Operator PG7 or equivalent experience in a similar industry.</p></li></ul><p>Skills</p><ul><li><p>Achieved competencies in all areas except DCR operation.</p></li><li><p>English language skills sufficient to prepare and complete shift reports (Intermediate Level 3 or equivalent).</p></li><li><p>Communication skills.</p></li><li><p>Basic numeracy skills, including concentration, percentage, unit conversion, and rate calculations.</p></li><li><p>Ability to understand single-line diagrams.</p></li><li><p>IT skills.</p></li><li><p>Problem-solving skills.</p></li><li><p>Planning and organizing skills.</p></li><li><p>Interpersonal skills.</p></li><li><p>Teamwork skills.</p></li></ul></li></ul>

<ul><li><p>Ensure that all plant and equipment under his control are operated in a safe and efficient manner.Ensure that all instructions are carried out promptly and efficiently.Record routine parameter readings on regular basis and report deviations.Inform the Supervisor (or) control room of any abnormalities/problems on equipmentEnsure standby equipment is readily available for service in an emergency.Assist in carrying out routine testing/re-commissioning of plant after maintenance outages.Adopt safe working practices to ensure personal and plant safety.Identify hazards and participate effectively in reporting system.Maintain good standards of housekeeping.Must be fully conversant with all emergency procedures related to the equipment in his designated area of responsibilityCarry out on the job trainingStrive to achieve increased competencyJebel Ali Site, additional rolesOperator Turbine & BoilerAssistant OperatorAt Jebel Ali Site, for the roles of Operator Turbine & Boiler and Assistant Operator, the above accountabilities will be restricted to Gas Turbines, Steam Turbines, associated plant equipment and related utilities.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum Qualifications</p><ul><li><p>Higher Secondary School Certificate.</p></li></ul><p>Minimum Experience</p><ul><li><p>4 years of experience in a power station.</p></li><li><p>2 years of experience as a Desalination Operator PG7 or equivalent experience in a similar industry.</p></li></ul><p>Skills</p><ul><li><p>Achieved competencies in all areas except DCR operation.</p></li><li><p>English language skills sufficient to prepare and complete shift reports (Intermediate Level 3 or equivalent).</p></li><li><p>Communication skills.</p></li><li><p>Basic numeracy skills, including concentration, percentage, unit conversion, and rate calculations.</p></li><li><p>Ability to understand single-line diagrams.</p></li><li><p>IT skills.</p></li><li><p>Problem-solving skills.</p></li><li><p>Planning and organizing skills.</p></li><li><p>Interpersonal skills.</p></li><li><p>Teamwork skills.</p></li></ul></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Drone Operator with experience in both conventional and FPV drone operations, holding valid DCAA and GCAA training certificates.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Drone Operator with extensive experience in both conventional and FPV drone operations. Holds valid DCAA and GCAA training certificates, with strong knowledge of UAE aviation regulations, flight planning, risk assessment, and safe drone operations. Skilled in capturing high-quality aerial footage for corporate, commercial, and event productions while ensuring full compliance with regulatory requirements.</p></div>