Machine operator Jobs

If interested, Please fill in the following form:<br>https://forms.office.com/Pages/Response Page.aspx?id=UD6r9Vq3o0WWySZsBiNKAQOWBuGhJvJJra4ms VBIlD1UNFc2WjNPRDJTNjY1VVVLRkZNOEZRTjQ4WS4u<br>Company Description Naturals is a provider of top-tier audio visual solutions, specializing in seamless design, installation, and integration for a wide range of event spaces. The company transforms corporate events, Brand Launches, and other live experiences into engaging, visually striking productions. With a focus on precision, style, and reliability, Naturals supports clients in bringing their creative visions to life. Team members collaborate on diverse projects, working with modern AV technologies in dynamic, event-driven environments.<br>Role Description The Video Operator is a full-time, on-site role based in Dubai, United Arab Emirates. This role is responsible for operating Media Servers and Switchers during live events and streams, ensuring high-quality visuals that align with the production plan. Day-to-day tasks include setting up, testing and maintaining video gear, coordinating with Lighting and Audio teams as well as Project Managers, Equipment Check-in and Check-out on Current RMS. The Video Operator will assist with pre-event technical checks, troubleshoot minor equipment issues, and follow director or producer instructions throughout events. Collaboration with production staff, adherence to safety and equipment handling protocols, and maintaining organized workspaces are key aspects of the role.<br>Qualifications Candidates should possess skills in Software such as Pixera, Resolume, VMix and Dante Candidates should possess skills in LED Screen programming Software such as Nova LCT and Brompton Knowledge in Projection Mapping and required equipment is beneficial Relevant experience in event production, live entertainment, or corporate AV setups is beneficial. Strong attention to detail, ability to follow technical directions, and effective communication with production teams are required. Ability to work flexible hours, including evenings and weekends, depending on event schedules. Basic troubleshooting skills for video and AV equipment, and comfort working in fast-paced environments. Formal training in Pixera is an advantage Fluent in English

Role: Machine Learning Engineer - Computer Vision (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients in the AI research space, seeking a Python Machine Learning Engineer to drive the design, development, and delivery of advanced machine learning solutions. The role requires both strong individual contributions and technical leadership to set direction, mentor team members, and align ML initiatives with business goals.<br>Key Responsibilities:• Own end-to-end machine learning solution development, from data pipelines and model design to deployment and monitoring.• Translate business objectives into robust ML architectures that accurately capture business logic and context.• Collaborate cross-functionally with product, engineering, and business stakeholders to define problem statements and success metrics.• Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.• Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes.<br>Required Skills & Qualifications:• Bachelor’s or master’s degree in computer science, machine learning, AI, statistics, or a related quantitative field.• 4+ years of hands-on data science and machine learning development experience.• Proficiency in supervised and unsupervised learning, time-series forecasting, and natural language processing.• Expertise in Python and core libraries such as pandas, numpy, scikit-learn, PyTorch, and Keras.• Strong understanding of data preprocessing, feature engineering, and model tuning.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in AI research, contributing to the development of proprietary intelligence systems that drive measurable business impact. The position involves applying cutting-edge research to real-world applications across diverse domains.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer - Computer Vision (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients in the AI research space, seeking a Python Machine Learning Engineer to drive the design, development, and delivery of advanced machine learning solutions. The role requires both strong individual contributions and technical leadership to set direction, mentor team members, and align ML initiatives with business goals.<br>Key Responsibilities:• Own end-to-end machine learning solution development, from data pipelines and model design to deployment and monitoring.• Translate business objectives into robust ML architectures that accurately capture business logic and context.• Collaborate cross-functionally with product, engineering, and business stakeholders to define problem statements and success metrics.• Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.• Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes.<br>Required Skills & Qualifications:• Bachelor’s or master’s degree in computer science, machine learning, AI, statistics, or a related quantitative field.• 4+ years of hands-on data science and machine learning development experience.• Proficiency in supervised and unsupervised learning, time-series forecasting, and natural language processing.• Expertise in Python and core libraries such as pandas, numpy, scikit-learn, PyTorch, and Keras.• Strong understanding of data preprocessing, feature engineering, and model tuning.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in AI research, contributing to the development of proprietary intelligence systems that drive measurable business impact. The position involves applying cutting-edge research to real-world applications across diverse domains.<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!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Operator-Furnace (Steel Industry) <p>Role Purpose</p><br> <p>Operate and control the temperature of the reheating furnace to ensure smooth operation and</p><br> <p>safety of the equipment. Constant monitoring of billets flow from charging table into reheating</p><br> <p>furnace and discharging of billets</p><br><p>Responsibilities<br> To operate the reheating furnace safely as per standard working procedures.<br> Monitor various parameters, graphs and be able to modify the parameters to ensure safe operation.<br> To be aware of safe procedures required to operate and stop/shutdown the furnace equipment.<br> Scale cleaning in furnace soaking zone and recuperating area during weekly down day.<br> Follow the procedures required for cooling down and heating up curves of reheating furnace after<br>shutdown.<br> Routine inspection of furnace auxiliary equipment's and report any abnormalities noticed to shift<br>supervisor or concern section.<br> To be familiar of HMI alarms to detect potential premature failure.<br> Able to identify malfunctioning of the equipment and give proper feedback to maintenance crew.<br> Maintain the work records in a well documented manner.<br> To keep the work area always clean and tidy.<br> Follow all management directives, regulations and policies relating to safety, quality, health and<br>environment.</p><br><p>To assist main pulpit operator whenever he is out of pulpit.<br> To assist during furnace refractory repair.<br> As per requested from line manager</p><br><p>To perform this job successfully, an individual must be able to perform each duty<br>satisfactorily. The requirements listed below are representative of the knowledge, skills, and<br>abilities required.<br> Good physical capabilities and health.,<br> Ability to judge distance, height, vision, clearance, hearing, color distinction,<br>reasonable quick reflexes, and assess the load weight<br> Basic knowledge of rigging and safe crane operation.<br> Fundamental Of Reheating Furnace operation.<br> Metallurgy Fundamental for Furnace Operation<br> RHF Relining.<br> Onsite emergency response plan RM</p><br><p>Minimum<br>Qualification<br>(Educational<br>Qualifications,<br> Diploma in Mechanical, Metallurgical, Electrical or<br>Instrumentation engineering.<br> Types of refractories and installation<br> Basics of RHF process automation</p><br><p>Professional<br>Experience<br> Minimum of 5 years' experience as Reheating furnace operator<br> Work experience in walking hearth type furnace.<br> Work experience in gas fired furnace</p><br> <br> <br> </div>

<h3>Job Description</h3><p>The <strong>Data Entry Operator</strong> is responsible for accurately entering, updating, and maintaining financial and administrative data in <strong>Tally ERP</strong>. The role involves recording accounting transactions, maintaining records, preparing reports, and supporting the Accounts and Administration departments while ensuring data accuracy and confidentiality.</p><h3>Key Responsibilities</h3><ul><li>Enter accounting transactions accurately into Tally ERP.</li><li>Record sales, purchases, receipts, payments, journal vouchers, and other financial transactions.</li><li>Maintain customer, vendor, and ledger master data in Tally.</li><li>Prepare invoices, purchase orders, debit notes, and credit notes.</li><li>Verify source documents before data entry to ensure completeness and accuracy.</li><li>Reconcile data with supporting documents and report any discrepancies.</li><li>Maintain digital and physical filing systems for accounting records.</li><li>Assist with bank reconciliations and petty cash record maintenance.</li><li>Generate reports from Tally as required by management.</li><li>Maintain employee expense records and supporting documentation.</li><li>Coordinate with internal departments to obtain required financial information.</li><li>Ensure the confidentiality of financial and company information.</li><li>Assist during internal and external audits by providing the required documentation.</li><li>Perform general administrative and clerical duties as assigned.</li><li>Comply with company policies, accounting procedures, and statutory requirements.</li></ul>

Job Code : 6188<br><br>Position Title : Panel Operator<br><br>Experience : 3 yrs<br><br>Location : Abu Dhabi<br><br>Language : English<br><br>Education : Higher Secondary School/ITI<br><br>Responsibilities<br><br>To carry out the control panel operations of material handling systems, Reactor charge and discharge systems, Hot DRI Transport to SMP, Cold DRI handling, de-dustings systems, cement coating. Maintain the process parameters as per daily operating instructions and as per SOPs. Monitor and take timely action to avoid delays and unsafe events.<br><br>Process Maintenance<br><br>Essential Duties and Responsibilities (Key Accountabilities)<br><br>To operate the assigned areas of the plant safely and maintain the process parameters as per the daily operating instructions to achieve the Departments targets<br><br>Coordination<br><br>To coordinate with field staff and setting the field position of equipment and valves as required for the process To communicate with shift supervisor / Senior Panel Operator on any deviations and guidance Coordinate with MH Department for raw material feeding and Product discharge system.<br><br>Safety Standards<br><br>Familiarize with shutdown and start-up procedures and emergency handling procedures for safe operation of the plant<br><br>Plant Records<br><br>Record process parameters in the log sheets<br><br>Skills: as per the JD

Job Code : 6188<br><br>Position Title : Panel Operator<br><br>Experience : 3 yrs<br><br>Location : Abu Dhabi<br><br>Language : English<br><br>Education : Higher Secondary School/ITI<br><br>Responsibilities<br><br>To carry out the control panel operations of material handling systems, Reactor charge and discharge systems, Hot DRI Transport to SMP, Cold DRI handling, de-dustings systems, cement coating. Maintain the process parameters as per daily operating instructions and as per SOPs. Monitor and take timely action to avoid delays and unsafe events.<br><br>Process Maintenance<br><br>Essential Duties and Responsibilities (Key Accountabilities)<br><br>To operate the assigned areas of the plant safely and maintain the process parameters as per the daily operating instructions to achieve the Departments targets<br><br>Coordination<br><br>To coordinate with field staff and setting the field position of equipment and valves as required for the process To communicate with shift supervisor / Senior Panel Operator on any deviations and guidance Coordinate with MH Department for raw material feeding and Product discharge system.<br><br>Safety Standards<br><br>Familiarize with shutdown and start-up procedures and emergency handling procedures for safe operation of the plant<br><br>Plant Records<br><br>Record process parameters in the log sheets<br><br>Skills: as per the JD

<p>A dedicated, detail-oriented Computer Operator is needed to manage daily computer operations and support office data-processing tasks. The ideal candidate should have basic technical knowledge, accuracy in handling data, and the ability to work efficiently in a fast-paced environment. Freshers and experienced candidates are welcome to apply.</p> <p>Responsibilities:<br /> Monitor and operate computer systems and office equipment<br /> Enter, update, and maintain data records accurately<br /> Perform routine system checks and report technical issues<br /> Manage files, documents, and digital records<br /> Assist in generating reports and maintaining databases<br /> Ensure smooth day-to-day computer operations<br /> Support administrative and office tasks when required</p> <p>Requirements:<br /> Basic knowledge of computer systems and MS Office<br /> Good typing speed and data entry accuracy<br /> Strong attention to detail<br /> Ability to handle multiple tasks efficiently<br /> Good communication and organizational skills<br /> Positive attitude and willingness to learn</p> <p>Salary &amp; Benefits:<br /> Competitive salary package<br /> Visa and accommodation as per the UAE labor law<br /> Career development opportunities<br /> Friendly and professional work environment</p> <p>Apply Now: hr.tanyaas@gmail.com</p>

<p>A dedicated, detail-oriented Computer Operator is needed to manage daily computer operations and support office data-processing tasks. The ideal candidate should have basic technical knowledge, accuracy in handling data, and the ability to work efficiently in a fast-paced environment. Freshers and experienced candidates are welcome to apply.</p> <p>Responsibilities:<br /> Monitor and operate computer systems and office equipment<br /> Enter, update, and maintain data records accurately<br /> Perform routine system checks and report technical issues<br /> Manage files, documents, and digital records<br /> Assist in generating reports and maintaining databases<br /> Ensure smooth day-to-day computer operations<br /> Support administrative and office tasks when required</p> <p>Requirements:<br /> Basic knowledge of computer systems and MS Office<br /> Good typing speed and data entry accuracy<br /> Strong attention to detail<br /> Ability to handle multiple tasks efficiently<br /> Good communication and organizational skills<br /> Positive attitude and willingness to learn</p> <p>Salary &amp; Benefits:<br /> Competitive salary package<br /> Visa and accommodation as per the UAE labor law<br /> Career development opportunities<br /> Friendly and professional work environment</p> <p>Apply Now: hr.tanyaas@gmail.com</p>

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<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!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Discover the Opportunity</b></p><br><p>We’re partnering with a fast-growing, AI-driven technology organisation in Dubai that is building intelligent, data-powered platforms to enhance digital user experiences at scale.</p><br><p>This role sits within a high-impact data and AI team focused on developing next-generation solutions powered by Generative AI, machine learning, and automation. The organisation is leveraging cutting-edge technologies to build scalable, customer-facing applications that solve real-world challenges.</p><br><p>​</p><br><p>This is a great opportunity for an engineer who enjoys working at the intersection of research and production, building AI systems that deliver tangible business impact.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><p>• Design, build, and deploy machine learning and Generative AI solutions within scalable, customer-facing applications.</p><br><p>• Work with large language models, embeddings, and RAG architectures to develop intelligent systems.</p><br><p>• Collaborate with product, engineering, and business teams to translate requirements into technical solutions.</p><br><p>• Develop and maintain high-quality, testable code and contribute to shared ML frameworks and libraries.</p><br><p>• Monitor, evaluate, and continuously optimise models based on production performance and user feedback.</p><br><p>• Integrate AI capabilities through APIs and ensure seamless interaction with existing platforms.</p><br><p>• Apply strong analytical and problem-solving skills to tackle complex machine learning challenges.</p><br><p>• Stay up to date with emerging AI trends and contribute to continuous improvement across the team.</p><br><p>​</p><br><p><b>Discover the Requirements</b></p><br><p>• 2+ years of experience in machine learning, AI engineering, or data science roles.</p><br><p>• Hands-on experience working with large language models, including RAG, embeddings, and fine-tuning techniques.</p><br><p>• Experience using modern AI frameworks and tools such as LangChain or similar ecosystems.</p><br><p>• Strong programming skills in Python and SQL, with solid software engineering fundamentals.</p><br><p>• Experience integrating APIs and building scalable, production-ready systems.</p><br><p>• Understanding of data structures, data modelling, and system design principles.</p><br><p>• Experience applying machine learning to real-world problems and analysing performance in production.</p><br><p>• Strong communication skills and ability to work collaboratively in cross-functional teams.</p><br><p>​</p><br><p><b>Preferred experience:</b></p><br><p>• Experience working with cloud platforms such as AWS or Azure</p><br><p>• Exposure to distributed systems, deep learning, or NLP applications</p><br><p>• Experience working in fast-paced or startup environments</p><br><br> </div>

Role Overview We are seeking a Lead Machine Learning Engineer to design, build, and scale production-grade machine learning systems. This role combines deep hands-on ML engineering with technical leadership, owning the end-to-end lifecycle of ML solutions from research and prototyping through deployment and monitoring.<br>The Lead ML Engineer will work closely with product, data, platform, and engineering teams to deliver robust, scalable, and responsible ML-powered capabilities across the organization.<br>Key Responsibilities• Lead the design and development of machine learning models and ML-driven systems• Own end-to-end ML pipelines, including data preparation, training, evaluation, deployment, and monitoring• Translate business and product requirements into practical ML solutions• Architect and maintain scalable, production-ready ML systems• Establish ML engineering best practices, standards, and review processes• Mentor and technically guide ML engineers and data scientists• Collaborate with backend, platform, and Dev Ops teams on system integration and deployment• Ensure model performance, reliability, security, and responsible AI practices• Continuously evaluate and improve models using metrics, monitoring, and feedback loops Machine Learning & Technical Scope• Design and train models using supervised, unsupervised, and deep learning techniques• Experience with frameworks such as PyTorch, Tensor Flow, or equivalent• Strong understanding of feature engineering, model evaluation, and experimentation• Experience deploying models into production environments (APIs, batch, or streaming)• Familiarity with MLOps practices, including CI/CD for ML, model versioning, and monitoring• Experience working with large-scale datasets and distributed training where applicable<br>Required Qualifications & Experience• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field• 7+ years of professional experience in machine learning or applied AI roles• Strong programming skills in Python; familiarity with data processing libraries• Proven experience deploying and maintaining ML models in production• Solid understanding of software engineering principles and system design• Experience working cross-functionally with product and engineering teams<br>Preferred Experience• Experience leading or mentoring ML engineers• Familiarity with cloud platforms (Azure preferred; AWS or GCP acceptable)• Experience with containerization and orchestration (Docker, Kubernetes)• Exposure to NLP, computer vision, recommender systems, or large language models• Experience in regulated or production-critical environments

Role Overview We are seeking a Lead Machine Learning Engineer to design, build, and scale production-grade machine learning systems. This role combines deep hands-on ML engineering with technical leadership, owning the end-to-end lifecycle of ML solutions from research and prototyping through deployment and monitoring.<br>The Lead ML Engineer will work closely with product, data, platform, and engineering teams to deliver robust, scalable, and responsible ML-powered capabilities across the organization.<br>Key Responsibilities• Lead the design and development of machine learning models and ML-driven systems• Own end-to-end ML pipelines, including data preparation, training, evaluation, deployment, and monitoring• Translate business and product requirements into practical ML solutions• Architect and maintain scalable, production-ready ML systems• Establish ML engineering best practices, standards, and review processes• Mentor and technically guide ML engineers and data scientists• Collaborate with backend, platform, and Dev Ops teams on system integration and deployment• Ensure model performance, reliability, security, and responsible AI practices• Continuously evaluate and improve models using metrics, monitoring, and feedback loops Machine Learning & Technical Scope• Design and train models using supervised, unsupervised, and deep learning techniques• Experience with frameworks such as PyTorch, Tensor Flow, or equivalent• Strong understanding of feature engineering, model evaluation, and experimentation• Experience deploying models into production environments (APIs, batch, or streaming)• Familiarity with MLOps practices, including CI/CD for ML, model versioning, and monitoring• Experience working with large-scale datasets and distributed training where applicable<br>Required Qualifications & Experience• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field• 7+ years of professional experience in machine learning or applied AI roles• Strong programming skills in Python; familiarity with data processing libraries• Proven experience deploying and maintaining ML models in production• Solid understanding of software engineering principles and system design• Experience working cross-functionally with product and engineering teams<br>Preferred Experience• Experience leading or mentoring ML engineers• Familiarity with cloud platforms (Azure preferred; AWS or GCP acceptable)• Experience with containerization and orchestration (Docker, Kubernetes)• Exposure to NLP, computer vision, recommender systems, or large language models• Experience in regulated or production-critical environments

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Title <br></span><p>Plant Operator</p><br> <br><br>Business <br><p><span><span><u><span>EMIRATES GAS L.L.C.</span></u></span></span></p><br> <br><br>Job Purpose <br><p><span><span>To perform all activities related to receipts, storage, filling, processing and distribution of LPG cylinders and bulk products and routine maintenance as per the directions/instructions of the Shift Supervisor/Plant Manager while following all prescribed procedures and safety norms as per plant IMS requirement.</span></span></p><br> <br><br>Principal Accountabilities <br><span><span><span><u><span>Operations</span></u></span></span></span> <ul> <li><span><span><span><span><span>Identifies </span></span><span><span>product</span></span><span><span> – LPG, EGAP, Propane, Butane, CNG etc.</span></span></span></span></span></li> <li><span><span><span><span><span>Assess loading, ullage/quantity in storage tanks, tankers. Performs proper loading, &nbsp;&nbsp;unloading of bulk tankers.</span></span></span></span></span></li> <li><span><span><span><span><span>Receives bulk/transfers from supply sources.</span></span></span></span></span></li> <li><span><span><span><span><span>Performs odorizing as required.</span></span></span></span></span></li> </ul> <p><span><span><span><b><u><span><span>Maintenance</span></span></u></b></span></span></span></p><br> <ul> <li><span><span><span><span><span>Performs routine housekeeping and maintenance activities like cleaning of equipment, work place, lubrication and adjustment/setting of equipment. Assists</span></span></span></span></span></li> <li><span><span><span><span><span>Maintains safety equipment in good working condition</span></span></span></span></span></li> <li><span><span><span><span><span>Visual inspection of tanks and equipment at plant, customer site and reporting abnormalities.</span></span></span></span></span></li> <li><span><span><span><span><span>Assists in purging, degassing, commissioning, de-commissioning of tanks and tankers.</span></span></span></span></span></li> </ul> <br><br>Additional Principal Accountabilities <br><br>Experience <br><ul> <li><span><span><span><span><span>Science graduate (Physics, Chemistry, Maths) or technical diploma (3 years) after Senior Secondary in Mechanical /Electrical /Electronics /Automobile Engineering with 3 to 4 years experience in LPG Industry. &nbsp;If in Petroleum or Petrochemical 5 to 6 years experience as operator/supervisor in Petrochemical industry. </span></span></span></span></span></li> <li><span><span><span><span><span>Good interpersonal skills to maintain cordial working relations with colleagues, superiors and customers. </span></span></span></span></span></li> <li><span><span><span><span><span>Should be conversant with usage of mechanical, electrical tools, appliances/gadgets generally used in the industry, with hands on experience in equipment maintenance.</span></span></span></span></span></li> <li><span><span><span><span><span>Basic knowledge of Safety and related procedures and experience in an ISO Quality environment will be advantageous. </span></span></span></span></span></li> <li><span><span><span><span><span>Should be fluent in English. Good communication skills are essential combined with the ability to read and understand work instructions in English and prepare documents and maintain records.</span></span></span></span></span></li> <li><span><span><span><span><span><span>Formal Safety qualification is preferred.</span></span></span></span></span></span></li> <li><span><span><span><span><span>Knowledge of other languages: Arabic/Urdu/Malayalam will be advantageous.</span></span></span></span></span></li> <li><span><span><span><span><span>A valid UAE driving license for light vehicles is preferred.</span></span></span></span></span></li> <li><span><span><span><span><span>Age: 25 to 35 preferred. Should be physically fit and healthy to do manual&nbsp; &nbsp;intensive field jobs, able to endure extreme heat and with no known medical conditions. (Blood pressure, Diabetes, Back ache, Arthritis etc).</span></span></span></span></span></li> </ul> <br><br><br> </div>

Role Description This is a part-time hybrid role for a Machine Learning Engineer based in Abu Dhabi, with flexibility for some work from home. The Machine Learning Engineer will design, develop, and optimize machine learning models to support data-driven insights for the organization and its members. Day-to-day tasks include collecting and preprocessing data, implementing and training algorithms and neural network architectures, evaluating model performance, and preparing clear reports or dashboards for stakeholders. The role also involves collaborating with business and technical teams to translate networking and community needs into practical ML solutions, maintaining code quality and documentation, and staying current with emerging tools and techniques in machine learning. Qualifications Strong background in Computer Science and Algorithms, with the ability to design efficient and scalable solutions. Proficiency in Pattern Recognition and Neural Networks for building predictive and classification models. Solid understanding of Statistics for model evaluation, hypothesis testing, and data analysis. Experience with common ML tools and languages (e.g., Python, Tensor Flow, PyTorch, scikit-learn) and version control systems. Bachelor’s degree or higher in Computer Science, Data Science, Engineering, or a related quantitative field. Ability to communicate technical concepts clearly to non-technical stakeholders and work collaboratively in a diverse team environment. Experience with data pipelines, cloud platforms, or MLOps practices is an advantage. Interest in business networking, entrepreneurship, or community-driven initiatives is beneficial.