Machine operator Jobs

Senior Data Science Specialist<br>Position: Senior Data Science Specialist<br>Type: Hourly Contract (Part-Time)<br>Compensation: $120–$170/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Senior Data Science Specialists interested in contributing to advanced AI research and evaluation projects focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems. The role involves evaluating AI-generated data science solutions, assessing statistical and machine learning methodologies, and applying real-world data science expertise to improve the performance of advanced AI models. No prior AI experience is required. Your data science expertise, analytical skills, and professional experience are the primary qualifications for success in this role. Responsibilities Evaluate AI-generated data science solutions, statistical analyses, and machine learning outputs for accuracy and quality. Solve complex data analysis, statistical modeling, machine learning, and predictive analytics problems. Review AI-generated approaches involving data preprocessing, feature engineering, model development, validation, and evaluation. Analyze datasets, statistical methodologies, predictive models, and analytical workflows. Identify errors, inconsistencies, methodological issues, and edge cases in AI-generated analyses. Compare multiple AI-generated solutions and assess their technical strengths, weaknesses, and reasoning quality. Provide structured technical feedback to improve AI accuracy, analytical reasoning, and model performance. Collaborate with technical reviewers and interdisciplinary teams to maintain consistent evaluation standards and data quality. Required Qualifications2+ years of professional Data Science experience or equivalent industry/research experience. Strong experience with data analysis, statistical modeling, machine learning, predictive modeling, and data visualization. Proficiency in Python, SQL, and common data science libraries and frameworks. Strong understanding of statistics, probability, machine learning algorithms, model evaluation, and experimental design. Experience working with real-world datasets and translating data into actionable insights. Ability to evaluate AI-generated analyses, models, and technical solutions for correctness and effectiveness. Excellent analytical, problem-solving, and written communication skills. Preferred Qualifications Experience working with large-scale datasets, advanced machine learning systems, or production data science workflows. Experience with PyTorch, Tensor Flow, scikit-learn, XGBoost, or similar machine learning frameworks. Familiarity with AI, generative AI, LLMs, AI model evaluation, or data annotation. Experience with A/B testing, experimentation, causal inference, time-series analysis, or advanced statistical methods. Familiarity with cloud platforms, distributed computing, MLOps, or data engineering workflows. Prior experience with AI evaluation, technical review, or model quality assessment projects. Compensation Competitive compensation of $120–$170/hour. Weekly payments. Independent contractor engagement. Application Process Easy Apply on Linked InCheck Email for Next Steps Participate in Resume Evaluation & Interview Stage

Apply Now<br><br>Search/Jobgether/Growth Manager<br><br>Growth Manager<br><br>Jobgether<br><br>United Arab Emirates Posted 8 August 2026<br><br>Apply Now<br><br>Direct link to company career page<br><br>More jobs at Jobgether<br><br>AI Resume Fit Check<br><br>See exactly which skills you match and which are missing before you apply. Free, instant, no spam.<br><br>Check my resume fit<br><br>Free<br><br> No credit card<br><br>Share<br><br>More jobs at Jobgether<br><br>See all →<br><br>Senior Frontend Engineer (React)<br><br>Brazil<br><br> 8 August 2026<br><br>Senior Geospatial Machine Learning Engineer<br><br>Netherlands<br><br> 8 August 2026<br><br>Senior Geospatial Machine Learning Engineer<br><br>Spain<br><br> 8 August 2026<br><br>Senior Geospatial Machine Learning Engineer<br><br>Germany<br><br> 8 August 2026

Guide the development, implementation and execution of engineering programs as well as ensure that governance, oversight, and control of these programs in place to support safe and reliable Barakah Nuclear Power Plant (BNPP) operation.<br><br>Engineering Program Development Responsibilities and Accountabilities:• Guide the development of engineering programs in accordance with the regulatory requirements and licensing basis to support safe and reliable operation of BNPP.• Guide the development of the engineering, operational, inspection, and maintenance actions that control, within acceptable design limits, the effects of physical degradation of components occurring over time or with use to optimize the length of service of the subject equipment.• Develop long-term plans for engineering programs, as well as policies, processes, procedures, guidelines, arrangements, and activities subject equipment performance management or issues at BNPP to enable consistent execution of the programs.• Lead the implementation of adjustments to engineering program documents and delivered procedures based on the reference plant or industry best practices as appropriate to verify that they meet BNPP objectives and specific unique conditions and ensure organizational excellence.• Guide the development of software tools as required to support engineering programs and verify the input baseline data in the related database to ensure data security and governance.• Liaise the review of the corresponding programs for the reference plant, Shin Kori Units 3&4, to ensure that they meet BNPP objectives and specific unique conditions.• Lead the development of the engineering program’s procedures, processes and guidelines, as required, to ensure that Maintenance and Operations personnel have references for executing the program properly and safely.<br><br>Engineering Program Implementation Responsibilities and Accountabilities:• Provide in-depth technical expertise to support plant personnel in implementing the engineering program.• Lead support to plant personnel in gathering and communicating engineering program results to ensure accurate outcomes.• Implement new concepts and techniques to improve equipment reliability or compliance with changes in engineering codes and standards.<br><br>Engineering Program Execution Responsibilities and Accountabilities:• Monitor the execution of the engineering program including monitoring equipment or material performance to verify that it is being executive properly.• improvement.• Endorse independent research, reviews studies and analysis in support of technical projects aiming at improving the engineering program. Outage and Emergency Response Organization (ERO) Support Responsibilities and Accountabilities:• Support outage and/or the emergency response organization, as assigned, to ensure safe, reliable and continued operations; this may require shift work/off hours support.<br><br>Staff Training and Qualification Responsibilities and Accountabilities:• Provide training feedback on program effectiveness with evaluation of operator performance to enhance training and qualification program quality.<br><br><br>Education and experience - <br>Bachelor's degree in engineering or related Science.<br>Minimum 15 years of nuclear power plant experience, including at least 10 years as the technical owner or lead engineer for Steam Generator, ISI, NDE or Materials Reliability/ Corrosion Programs. Demonstrated expertise in degradation mechanisms, inspection qualification, flaw evaluation, fitness-for-service, risk-informed inspection, outage planning, licensing basis management, and long-term asset management. Proven ability to independently interpret and implement ASME Code requirements, NRC regulatory expectations, EPRI guidance, and operating experience into plant programs, defend engineering positions during regulatory and independent reviews, lead complex technical investigations, and provide strategic direction for long-term program performance and nuclear safety.

Apply Now<br><br>Search/Jobgether/Platform and Automation Engineer<br><br>Platform and Automation Engineer<br><br>Jobgether<br><br>United Arab Emirates Posted 8 August 2026<br><br>Apply Now<br><br>Direct link to company career page<br><br>More jobs at Jobgether<br><br>AI Resume Fit Check<br><br>See exactly which skills you match and which are missing before you apply. Free, instant, no spam.<br><br>Check my resume fit<br><br>Free<br><br> No credit card<br><br>Share<br><br>More jobs at Jobgether<br><br>See all →<br><br>Senior Geospatial Machine Learning Engineer<br><br>Netherlands<br><br> 8 August 2026<br><br>Senior Geospatial Machine Learning Engineer<br><br>Spain<br><br> 8 August 2026<br><br>Senior Frontend Engineer (React)<br><br>Brazil<br><br> 8 August 2026<br><br>Senior Geospatial Machine Learning Engineer<br><br>Germany<br><br> 8 August 2026

Apply Now<br><br>Search/Jobgether/Product Growth Strategist<br><br>Product Growth Strategist<br><br>Jobgether<br><br>United Arab Emirates Posted 8 August 2026<br><br>Apply Now<br><br>Direct link to company career page<br><br>More jobs at Jobgether<br><br>AI Resume Fit Check<br><br>See exactly which skills you match and which are missing before you apply. Free, instant, no spam.<br><br>Check my resume fit<br><br>Free<br><br> No credit card<br><br>Share<br><br>More jobs at Jobgether<br><br>See all →<br><br>Senior Frontend Engineer (React)<br><br>Brazil<br><br> 8 August 2026<br><br>Senior Geospatial Machine Learning Engineer<br><br>Netherlands<br><br> 8 August 2026<br><br>Senior Geospatial Machine Learning Engineer<br><br>Spain<br><br> 8 August 2026<br><br>Senior Geospatial Machine Learning Engineer<br><br>Germany<br><br> 8 August 2026

<p>MLOps Engineer (Freelance) 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 MLOps 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 play a key role in building, automating, and maintaining the infrastructure and processes required to deploy, monitor, and scale machine learning solutions in production environments. This opportunity offers the potential for extension beyond the initial contract period, subject to project requirements and performance. Key Responsibilities Design, implement, and maintain scalable MLOps frameworks and automated machine learning workflows. Build and manage CI/CD pipelines for machine learning model development, testing, deployment, and monitoring. Collaborate closely with Data Scientists, Machine Learning Engineers, Data Engineers, and DevOps teams to operationalize AI solutions. Deploy, monitor, and manage machine learning models in production environments. Develop and maintain model versioning, governance, and monitoring processes. Automate model retraining, validation, and deployment workflows. Ensure reliability, scalability, security, and performance of machine learning infrastructure. Implement logging, monitoring, and alerting mechanisms for model and platform performance. Optimize cloud infrastructure and resource utilization for AI/ML workloads. Troubleshoot and resolve issues related to model deployment, infrastructure, and data pipelines. Promote MLOps best practices and contribute to continuous improvement initiatives.</p><p>Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 4+ years of experience in MLOps, DevOps, Machine Learning Engineering, or a similar role. Strong experience with Python and machine learning lifecycle management. Hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML. Strong knowledge of CI/CD tools such as GitHub Actions, GitLab CI/CD, Jenkins, or Azure DevOps. Experience with containerization and orchestration technologies including Docker and Kubernetes. Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform. Understanding of infrastructure as code tools such as Terraform or CloudFormation. Experience with monitoring and observability tools. Strong knowledge of software engineering best practices, automation, and system reliability. Excellent analytical, troubleshooting, and communication skills. Preferred Qualifications Experience supporting Generative AI and Large Language Model (LLM) deployments. Familiarity with Databricks, Spark, and large-scale data processing platforms. Knowledge of Responsible AI, model governance, and compliance frameworks. Experience working in enterprise-scale production environments. Previous experience delivering projects within the UAE or GCC region. If you are passionate about building reliable and scalable machine learning platforms and enjoy working at the intersection of AI, cloud infrastructure, and automation, we would love to hear from you. Please note: This opportunity is open to freelancers/independent</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>MLOps Engineer (Freelance)</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 MLOps 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><br></p><p>The successful candidate will play a key role in building, automating, and maintaining the infrastructure and processes required to deploy, monitor, and scale machine learning solutions in production environments. 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, implement, and maintain scalable MLOps frameworks and automated machine learning workflows.</li><li>Build and manage CI/CD pipelines for machine learning model development, testing, deployment, and monitoring.</li><li>Collaborate closely with Data Scientists, Machine Learning Engineers, Data Engineers, and DevOps teams to operationalize AI solutions.</li><li>Deploy, monitor, and manage machine learning models in production environments.</li><li>Develop and maintain model versioning, governance, and monitoring processes.</li><li>Automate model retraining, validation, and deployment workflows.</li><li>Ensure reliability, scalability, security, and performance of machine learning infrastructure.</li><li>Implement logging, monitoring, and alerting mechanisms for model and platform performance.</li><li>Optimize cloud infrastructure and resource utilization for AI/ML workloads.</li><li>Troubleshoot and resolve issues related to model deployment, infrastructure, and data pipelines.</li><li>Promote MLOps best practices and contribute to continuous improvement initiatives.</li></ul><p><br></p><p><br></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, Engineering, Data Science, or a related field.</li><li>4+ years of experience in MLOps, DevOps, Machine Learning Engineering, or a similar role.</li><li>Strong experience with Python and machine learning lifecycle management.</li><li>Hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML.</li><li>Strong knowledge of CI/CD tools such as GitHub Actions, GitLab CI/CD, Jenkins, or Azure DevOps.</li><li>Experience with containerization and orchestration technologies including Docker and Kubernetes.</li><li>Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.</li><li>Understanding of infrastructure as code tools such as Terraform or CloudFormation.</li><li>Experience with monitoring and observability tools.</li><li>Strong knowledge of software engineering best practices, automation, and system reliability.</li><li>Excellent analytical, troubleshooting, and communication skills.</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience supporting Generative AI and Large Language Model (LLM) deployments.</li><li>Familiarity with Databricks, Spark, and large-scale data processing platforms.</li><li>Knowledge of Responsible AI, model governance, and compliance frameworks.</li><li>Experience working in enterprise-scale production 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 building reliable and scalable machine learning platforms and enjoy working at the intersection of AI, cloud infrastructure, and automation, 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>

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!

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!

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!

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!

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!

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!

Descon Engineering Limited is looking for an experienced Honeywell DCS Service Engineer to support commissioning, troubleshooting, maintenance, upgrades, and technical support activities for Honeywell Distributed Control Systems (DCS) within Oil & Gas facilities. Key Responsibilities Install, configure, test, commission, and troubleshoot Honeywell DCS systems. Support Honeywell Experion PKS Servers, Operator Stations, and C300 Controllers. Execute system upgrades, software updates, Mod Packs, and configuration changes. Perform loop checks, functional testing, startup support, and system validation. Diagnose and resolve hardware, software, network, and control system issues. Support virtualized environments and system infrastructure. Coordinate with operations, maintenance, and project teams during site activities. Prepare technical reports and commissioning documentation. Requirements Bachelor’s degree in electrical, Electronics, Instrumentation, Control Systems, or a related Engineering discipline.3–4 years of experience in Industrial Automation and Control Systems. Minimum 1–2 years of hands-on experience with Honeywell Experion PKS systems. Strong Oil & Gas industry experience. Proven experience in site installation, commissioning, and troubleshooting activities. Excellent communication and problem-solving skills. Technical Skills Honeywell Experion PKS R530 or higher C300 Controllers Honeywell Servers & Operator Stations DVM R800 Series Alarm Management Systems PHD Historian VMware Environment Industrial Networks and System Integration Preferred Qualifications Honeywell product certifications and training. Offshore commissioning experience. Site safety and access certifications.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p>This is a chance to take a leading role in a multinational organisation building an AI Centre of Excellence in Abu Dhabi, with a clear mandate to move AI from experimentation into scaled deployment across the group.<br>The business is investing heavily in AI and advanced analytics, taking successful pilots and turning them into secure, reliable systems that can be used across core functions at enterprise scale.<br>They’re now looking for a Lead Machine Learning Engineer to lead both the Machine Learning Engineering and MLOps teams and help build the technical foundations that make that possible.<br><b>The role<br></b><br>You’ll lead and develop teams across Machine Learning Engineering and MLOps, while remaining close to the technology and the systems being built.<br>A major focus will be taking models, LLMs and AI agents out of experimentation and into robust production environments. You’ll work closely with Data Science, Platform, Engineering and Security teams to build the tooling, infrastructure and standards needed to deploy AI reliably across the organisation.<br>You’ll help shape the wider AI platform roadmap, establish engineering standards and define how models are tested, released, monitored and rolled back in production. That includes areas such as shadow testing, canary deployments, automated validation and high-throughput AI workloads.<br>Given the scale and nature of the organisation, governance is equally important. You’ll help establish strong controls around model compliance, explainability, bias, auditability and security while still creating an environment where teams can move quickly.<br>This is a hands-on leadership role for someone who understands both machine learning and the engineering required to make it work reliably at enterprise scale.</p><br><p>​</p><br><p><b>What we're looking for</b></p><br><ul><li><p>8–12 years' experience across software engineering, machine learning engineering or MLOps, including at least 3 years in technical leadership or engineering management.</p><br></li><li><p>Proven experience taking AI or machine learning systems from prototype through to large-scale production.</p><br></li><li><p>Strong understanding of machine learning alongside scalable systems and platform architecture.</p><br></li><li><p>Hands-on experience with modern AI technologies including LLMs, RAG and agentic frameworks.</p><br></li><li><p>Strong knowledge of production ML, deployment strategies and MLOps.</p><br></li><li><p>Experience building or operating systems within highly regulated or mission-critical environments.</p><br></li><li><p>Strong understanding of security, governance and compliance requirements around production AI.</p><br></li><li><p>Proven experience leading and developing engineering teams.</p><br></li><li><p>Bachelor's degree in Computer Science, Engineering or a related field.</p><br></li></ul><p>​</p><br><p>A Master's degree or PhD in Computer Science, AI, Machine Learning or a related field would be a plus.</p><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Set up and calibrate machines according to production specifications, ensuring optimal performance and product quality.</li><li>Monitor machine operations in real-time to detect any anomalies, making immediate adjustments as necessary to maintain efficiency.</li><li>Conduct routine maintenance and troubleshooting on machines to minimize downtime and ensure consistent production flow.</li><li>Document production data, including quantities produced and machine performance metrics, for quality control and reporting purposes.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>High school diploma or equivalent; technical certifications in machine operation or related fields are a significant advantage.</li><li>2+ years of hands-on experience in machine operation within a manufacturing environment, showcasing a solid understanding of machinery.</li><li>Familiarity with industry-specific machinery and tools, including CNC machines, lathes, and milling machines.</li><li>Proficient in reading and interpreting technical drawings, blueprints, and schematics to ensure precise machine setup.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for Applied Scientists across different experience levels to design, develop, experiment with, and evaluate advanced AI/ML solutions that solve real-world business problems.<br> The role involves taking machine learning problems from problem framing and experimentation through model development, evaluation, and production deployment .<br> Depending on experience, the successful candidate may also contribute to scientific leadership, mentor other team members, and help establish best practices across applied research and machine learning delivery.<br> We are looking for candidates with strong foundations in machine learning who can balance state-of-the-art techniques with practical business requirements , delivering reliable and measurable AI/ML solutions.<br> Key Responsibilities Translate business problems into well-defined machine learning problems with clear objectives and measurable success criteria.<br> Design, develop, train, and evaluate machine learning and AI models based on business requirements.<br> Apply appropriate techniques across areas including: Classical Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision Generative AI Large Language Models (LLMs) Define experimentation strategies, establish appropriate baselines, and conduct rigorous model evaluation.<br> Perform statistical analysis, experimentation, error analysis, and model validation to assess model performance.<br> Work closely with Data Engineers to define data requirements, feature pipelines, and dataset quality standards.<br> Collaborate with Software Engineering and MLOps teams to productionise machine learning models and AI solutions .<br> Contribute to model monitoring, performance tracking, model lifecycle management, and continuous improvement.<br> Apply responsible AI principles, considering fairness, explainability, robustness, privacy, and reliability .<br> Communicate technical findings, experimental results, trade-offs, and recommendations clearly to both technical and non-technical stakeholders.<br> Contribute to technical documentation, research, experimentation, and knowledge-sharing activities.<br> For experienced candidates, provide scientific leadership, review ML work, mentor junior scientists, and help raise the overall technical standard of the team.<br> Required Technical SkillsMachine Learning &amp; AI Strong understanding of machine learning and deep learning concepts, including experience with relevant techniques across: Supervised and unsupervised learning Classification and regression Model evaluation and validation Feature engineering Deep learning NLP Computer Vision Generative AI / LLM-based applications The specific depth expected will vary based on the candidate's experience level.<br> ML Frameworks Experience with one or more of the following: PyTorch TensorFlow scikit-learn Strong candidates should demonstrate the ability to select appropriate frameworks and modelling approaches based on the problem being solved.<br> Programming Strong proficiency in Python .<br> Experience developing machine learning experimentation and modelling workflows.<br> Ability to write clean, maintainable, and reproducible code.<br> Experimentation &amp; Model Evaluation Strong understanding of experimental design.<br> Statistical analysis and hypothesis-driven experimentation.<br> Model evaluation and benchmarking.<br> Baseline development.<br> Error analysis.<br> Model validation and performance optimization.<br> Production ML &amp; MLOps Experience with taking ML models or AI solutions from experimentation into production, including: Model deployment Model monitoring Model lifecycle management MLOps workflows Collaboration with engineering and data teams Cloud-based machine learning environments Experience with cloud ML platforms and MLOps tooling is highly desirable.<br> Generative AI / LLM Experience Experience with Generative AI and LLM-based solutions will be highly valued, particularly experience taking such solutions beyond experimentation into production.<br> Relevant experience may include: LLM-based applications Generative AI solutions Model evaluation Prompt-based experimentation AI application development Production deployment and monitoring of GenAI solutions Responsible AI Candidates should understand the importance of responsible AI and, where relevant, demonstrate experience considering: Fairness Explainability Robustness Privacy Model reliability Responsible model deployment Collaboration &amp; Stakeholder Management Work closely with Data Engineers, Software Engineers, MLOps teams, Product teams, and business stakeholders .<br> Clearly communicate technical findings and modelling trade-offs.<br> Translate complex scientific concepts into understandable recommendations for non-technical stakeholders.<br> Collaborate effectively in cross-functional and Agile environments.<br> Leadership &amp; Mentoring For experienced candidates: Provide scientific leadership within the squad.<br> Review modelling approaches and scientific work.<br> Mentor Applied Scientists and junior ML practitioners.<br> Establish and promote strong experimentation and modelling practices.<br> Contribute to the overall applied research and machine learning standards of the team.<br> For junior candidates, prior mentoring or leadership experience is not mandatory.<br> Qualifications MSc or PhD in: Computer Science Machine Learning Artificial Intelligence Statistics Mathematics Data Science or another relevant quantitative discipline Equivalent practical industry experience may also be considered.<br> Experience Levels We welcome candidates across 0–15+ years of experience .<br> Junior / Entry-Level Suitable candidates may have: Strong academic foundation in ML/AI.<br> Relevant MSc/PhD or equivalent project experience.<br> Strong Python and ML framework knowledge.<br> Research, thesis, internship, or practical ML project experience.<br> Mid-Level Candidates should demonstrate: Independent ML model development.<br> Strong experimentation and evaluation experience.<br> Experience working with data and engineering teams.<br> Exposure to production ML or MLOps environments.<br> Senior / Lead-Level Candidates should additionally demonstrate: End-to-end ownership of production ML solutions.<br> Strong scientific and technical leadership.<br> Experience with GenAI/LLM applications where relevant.<br> Mentoring and scientific review capabilities.<br> Strong stakeholder communication and decision-making skills.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol type="1"><li><p>Experience on workshop equipment such as milling machine, lathe, planar, shaper as per requirement of work job.</p></li><li><p>Able to read basic drawing (check dimensions).</p></li><li><p>Knowledge of machine tools &amp; equipment.(Tools used like cutter ,tool holders, cutting tips)</p></li><li><p>Assembly &amp; fitting of machines.</p></li><li><p>Clean and lubricate machines, tools, and equipment in order to remove grease, rust, stains, and foreign matter.</p></li><li><p>Ability to use precision tools (e.g. calipers) to take accurate measurements</p></li><li><p>Knowledge of metal properties and other material</p></li><li><p>Physical stamina and strength to lift heavy items</p></li><li><p>Responsible for machine condition and safety of machine.</p></li></ol><p>10.&nbsp;&nbsp; Responsible for personal safety at work place and while using the machine.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Qualification:</strong> High school/ITI</p><p><strong>Experience:</strong> 3-5 Years (Same filed)</p><p><br></p><p><strong>Knowledge &amp; Skills:</strong></p><ol><li><p>Good knowledge of and adherence with safety standards</p></li><li><p>Team player</p></li><li><p>Good time-management skills</p></li><li><p>Great interpersonal and communication skills</p></li><li><p>Miller &amp; Turner &amp; Lathe Machines Knowledge</p><br></li></ol><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol type="1"><li><p>Experience on workshop equipment such as milling machine, lathe, planar, shaper as per requirement of work job.</p></li><li><p>Able to read basic drawing (check dimensions).</p></li><li><p>Knowledge of machine tools &amp; equipment.(Tools used like cutter ,tool holders, cutting tips)</p></li><li><p>Assembly &amp; fitting of machines.</p></li><li><p>Clean and lubricate machines, tools, and equipment in order to remove grease, rust, stains, and foreign matter.</p></li><li><p>Ability to use precision tools (e.g. calipers) to take accurate measurements</p></li><li><p>Knowledge of metal properties and other material</p></li><li><p>Physical stamina and strength to lift heavy items</p></li><li><p>Responsible for machine condition and safety of machine.</p></li></ol><p>10.&nbsp;&nbsp; Responsible for personal safety at work place and while using the machine.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Qualification:</strong> High school/ITI</p><p><strong>Experience:</strong> 3-5 Years (Same filed)</p><br><p><strong>Knowledge &amp; Skills:</strong></p><ol><li><p>Good knowledge of and adherence with safety standards</p></li><li><p>Team player</p></li><li><p>Good time-management skills</p></li><li><p>Great interpersonal and communication skills</p></li><li><p>Miller &amp; Turner &amp; Lathe Machines Knowledge</p></li></ol><p></p></section>