Materials Engineer Jobs

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: Electrical Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a contract Electrical Engineer to design, develop, and validate electrical systems for high-impact projects across multiple industries. The role involves end-to-end engineering execution from concept to deployment, ensuring compliance with industry standards and project specifications.<br>Key Responsibilities:• Design and simulate electrical circuits, power systems, and control systems using industry-standard tools and methodologies.• Develop and review electrical schematics, PCB layouts, and wiring diagrams in alignment with project requirements and safety regulations.• Perform failure mode analysis, root cause investigations, and corrective actions for electrical subsystems and components.• Collaborate with cross-functional teams including mechanical, software, and systems engineers to integrate electrical components into full product solutions.• Validate designs through prototyping, testing, and documentation, ensuring compliance with relevant certifications and regulatory frameworks.<br>Required Skills & Qualifications:• Bachelor’s degree in Electrical Engineering or related field, or equivalent practical experience in electrical system design and development.• Minimum 3 years of hands-on experience designing and troubleshooting analog and digital circuits, power distribution, and embedded systems.• Proficiency with CAD tools such as Altium, KiCad, or similar for schematic capture and PCB layout.• Experience with simulation tools like SPICE, MATLAB, or Simulink for modeling and analysis of electrical systems.• Familiarity with industry standards including IEC, UL, and IPC for electrical safety, testing, and manufacturing.• Strong problem-solving skills with the ability to diagnose and resolve complex electrical issues under tight deadlines.• Experience working in Agile or structured engineering environments with version control systems like Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the engineering services industry, contributing to the development of next-generation electrical systems for diverse applications. The position supports a high-growth contract portfolio in energy, automation, and consumer electronics sectors.<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: Software Engineer - AI and Machine Learning (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer – C#(LLM Evaluation & Repository Validation) to work on a part-time basis. The project involves building LLM evaluation and training datasets to train models on realistic software engineering problems using verifiable SWE tasks based on public repository histories. This role focuses on hands-on engineering, repository validation, and evaluation of LLM performance in bug-fixing scenarios.<br>Key Responsibilities:• Analyze and triage Git Hub issues across trending open-source libraries to assess feasibility for LLM evaluation.• Set up and configure code repositories, including Dockerization and environment setup, for local testing and evaluation.• Evaluate unit test coverage and quality in real-world codebases to identify gaps relevant to LLM performance.• Modify and run codebases locally to assess how LLMs interact with real code in bug-fixing and development tasks.• Collaborate with researchers to design and identify repositories and issues that present meaningful challenges for LLMs.<br>Required Skills & Qualifications:• Minimum 3+ years of overall software engineering experience.• Strong proficiency in C# and ability to navigate complex codebases efficiently.• Experience with Git, Docker, and basic software pipeline setup for repository configuration and testing.• Hands-on experience running, modifying, and testing real-world open-source projects locally.• Ability to understand and evaluate unit test coverage and quality in existing codebases.<br>More About the Opportunity:This role offers a unique opportunity to work on cutting-edge AI projects with leading LLM companies, contributing to the future of AI-assisted software development. Opportunities exist to lead a team of junior engineers and shape the evaluation methodology for LLM performance in software engineering tasks.<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: Electrical Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a contract Electrical Engineer to design, develop, and validate electrical systems for high-impact projects across multiple industries. The role involves end-to-end engineering execution from concept to deployment, ensuring compliance with industry standards and project specifications.<br>Key Responsibilities:• Design and simulate electrical circuits, power systems, and control systems using industry-standard tools and methodologies.• Develop and review electrical schematics, PCB layouts, and wiring diagrams in alignment with project requirements and safety regulations.• Perform failure mode analysis, root cause investigations, and corrective actions for electrical subsystems and components.• Collaborate with cross-functional teams including mechanical, software, and systems engineers to integrate electrical components into full product solutions.• Validate designs through prototyping, testing, and documentation, ensuring compliance with relevant certifications and regulatory frameworks.<br>Required Skills & Qualifications:• Bachelor’s degree in Electrical Engineering or related field, or equivalent practical experience in electrical system design and development.• Minimum 3 years of hands-on experience designing and troubleshooting analog and digital circuits, power distribution, and embedded systems.• Proficiency with CAD tools such as Altium, KiCad, or similar for schematic capture and PCB layout.• Experience with simulation tools like SPICE, MATLAB, or Simulink for modeling and analysis of electrical systems.• Familiarity with industry standards including IEC, UL, and IPC for electrical safety, testing, and manufacturing.• Strong problem-solving skills with the ability to diagnose and resolve complex electrical issues under tight deadlines.• Experience working in Agile or structured engineering environments with version control systems like Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the engineering services industry, contributing to the development of next-generation electrical systems for diverse applications. The position supports a high-growth contract portfolio in energy, automation, and consumer electronics sectors.<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: Electrical Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a contract Electrical Engineer to design, develop, and validate electrical systems for high-impact projects across multiple industries. The role involves end-to-end engineering execution from concept to deployment, ensuring compliance with industry standards and project specifications.<br>Key Responsibilities:• Design and simulate electrical circuits, power systems, and control systems using industry-standard tools and methodologies.• Develop and review electrical schematics, PCB layouts, and wiring diagrams in alignment with project requirements and safety regulations.• Perform failure mode analysis, root cause investigations, and corrective actions for electrical subsystems and components.• Collaborate with cross-functional teams including mechanical, software, and systems engineers to integrate electrical components into full product solutions.• Validate designs through prototyping, testing, and documentation, ensuring compliance with relevant certifications and regulatory frameworks.<br>Required Skills & Qualifications:• Bachelor’s degree in Electrical Engineering or related field, or equivalent practical experience in electrical system design and development.• Minimum 3 years of hands-on experience designing and troubleshooting analog and digital circuits, power distribution, and embedded systems.• Proficiency with CAD tools such as Altium, KiCad, or similar for schematic capture and PCB layout.• Experience with simulation tools like SPICE, MATLAB, or Simulink for modeling and analysis of electrical systems.• Familiarity with industry standards including IEC, UL, and IPC for electrical safety, testing, and manufacturing.• Strong problem-solving skills with the ability to diagnose and resolve complex electrical issues under tight deadlines.• Experience working in Agile or structured engineering environments with version control systems like Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the engineering services industry, contributing to the development of next-generation electrical systems for diverse applications. The position supports a high-growth contract portfolio in energy, automation, and consumer electronics sectors.<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"> <br> JOB PURPOSE:<p>The Wireline Field Engineer at ADNOC Drilling is responsible for executing wireline services across various onshore and offshore locations in the UAE. This role ensures the safe, efficient, and high-quality delivery of open hole and cased hole wireline operations, while mentoring junior staff and maintaining operational excellence in accordance with ADNOC Drilling standards.</p><br>KEY ACCOUNTABILITIES:<p><strong><em><u>Job Specific:</u></em></strong></p><br><ul><li>Execute wireline services for ADNOC Drilling clients across assigned rigs and fields.</li><li>Lead wellsite operations as the crew lead engineer, ensuring compliance with ADNOC Drilling procedures.</li><li>Supervise and mentor junior engineers and operators in wireline service delivery and tool operations.</li><li>Prepare, plan, and troubleshoot wireline jobs at the base, including pre-job and post-job reporting.</li><li>Coordinate with customer representatives and rig crews to align wireline operations with drilling schedules.</li><li>Advise clients on wireline operations, perform quality control of logs, and support wellsite decision-making.</li><li>Manage radioactive sources and explosives handling in accordance with ADNOC Drilling HSE and regulatory protocols.</li><li>Maintain accurate job records and communicate operational updates to the service delivery coordinator.</li><li>Resolve moderately complex wellsite issues using engineering, mechanical, and geological principles.</li><li>Utilize software tools such as ECLIPS, Warrior, and Cerberus Tension Modelling for job planning and execution.</li><li><strong>Demonstrate hands-on experience with Baker Hughes wireline equipment and tools, including deployment, maintenance, and troubleshooting.</strong></li><li><strong>Demonstrate proven experience in commonly performed wireline operations in Abu Dhabi, including open hole logging, cased hole services, perforation, plug setting, and production logging.</strong></li></ul>. QUALIFICATIONS, EXPERIENCE, KNOWLEDGE &amp; SKILLS:<p><strong>Minimum Qualification</strong></p><br><ul><li>Bachelor Degree in Engineering.</li></ul><p><strong>Minimum Experience &amp; Knowledge &amp; Skills</strong></p><br><p>Minimum 5 years’ experience in oilfield wireline operations and services (open-hole and cased-hole), with strong exposure to Baker Hughes wireline technologies.</p><br><ul><li>Thorough understanding and competency in wireline operations and services (advanced open/cased-hole services) including planning, execution and troubleshooting at wellsite.</li><li>Ability to interpret and quality-control wireline data/logs at the wellsite and communicate recommendations to customers.</li><li>Strong understanding of HS&amp;E requirements including risk assessment, PTW, SIMOPS, pressure control, lifting operations and (where applicable) radioactive sources and explosives.</li><li>Good knowledge of spoken and written English.</li><li>Computer literate and capable of producing accurate operational documentation and reports.</li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Overview:</b> <br><p><strong>About Analog</strong></p><br><br><p>Analog is pioneering the era of physical intelligence. Where digital intelligence transformed our online lives, Analog is transforming the lived world, making cities more adaptive, industries more resilient, services more human centered, and experiences more extraordinary.<br>At the heart of our approach are living world models, continuously updated, enriched by every capture point, every device, every interaction. Within them resides Ana, the Analog Neural Agent. Ana perceives, adapts, and guides, transforming raw data into foresight and orchestration that improves outcomes across sectors, from safeguarding high-value assets to enhancing human performance.</p><br><br><br><p><strong>Job Summary<br></strong>As a Field Application Engineer, you will be responsible for providing hands-on technical support, troubleshooting, and problem-solving for advanced robotic solutions in spot &amp; stretch products environment. </p><br><br><b>Responsibilities:</b> <br><ul><li><strong>Customer Implementation Support:</strong> Act as the technical expert for robot implementation, assisting customers with the setup, integration, and optimization of robotic systems in their environments. Ensure that the implementation aligns with customer needs and specifications.</li><li><strong>Robotics Hardware Expertise</strong>: Demonstrate a strong understanding of robotics hardware components, including robotic arms, sensors, actuators, and related mechanical/electrical systems. Provide guidance on hardware selection and configuration.</li><li><strong>Robotics Software Expertise</strong>: Coding ability to assist with integration between Orbit and customer work order systems is desirable.</li><li><strong>System Architecture and Design</strong>: Provide expert knowledge on robot system architecture, ensuring that the integration of hardware and software components results in optimal performance and reliability.</li><li><strong>Collaboration with Teams</strong>: Work closely with internal teams, including systems engineering, product management, and sales/marketing, to ensure customer needs are met and to support product development and improvement.</li><li><strong>Customer Training &amp; Support:</strong> Provide on-site or remote training for customers on robot operations, troubleshooting, and best practices. Offer ongoing support during the entire lifecycle of the robot system.</li><li><strong>Troubleshooting &amp; Problem-Solving</strong>: Act as a subject matter expert for troubleshooting complex technical issues with robotic systems, offering efficient solutions to minimize downtime.</li><li><strong>Feedback &amp; Reporting</strong>: Gather feedback from customers regarding system performance, issues, and improvement suggestions. Work with product management and engineering teams to communicate this feedback and help drive product enhancements.</li><li><strong>Sales Support</strong>: Support the sales and marketing teams by providing technical demonstrations, creating solution proposals, and explaining the value proposition of our robotic solutions to prospective customers.</li><li><strong>Documentation: </strong>Create and maintain technical documentation, including system configurations, implementation guidelines, troubleshooting guides, and training materials for both internal use and customers.</li></ul><br><b>Qualifications:</b> <br><ul><li><strong>Education</strong>: A degree in Robotics, Mechatronics Engineering, Electrical Engineering, Computer Science, or a related field. - Experience: Proven experience in robotics system implementation, integration, and support. Experience working with robotic arms, sensors, actuators, and robotic control systems is highly desirable.</li><li><strong>Technical Expertise</strong>: - Strong knowledge of robotics hardware, including robotic arms, sensors, and actuators.</li><li>Deep technical knowledge in robot system architecture, including software and hardware integration.</li><li>Experience with robotic control systems, software frameworks, and debugging tools.</li><li><strong>Problem-Solving &amp; Troubleshooting Skills</strong>: Exceptional problem-solving skills with the ability to troubleshoot complex technical issues in a variety of environments.</li><li><strong>Communication Skills</strong>: Excellent verbal and written communication skills, with the ability to effectively explain complex technical concepts to customers, team members, and non-technical stakeholders.</li><li><strong>Customer-Oriented</strong>: Strong customer service and relationship-building skills. Ability to work directly with customers to understand their needs and provide tailored solutions.</li><li><strong>Team Collaboration</strong>: Ability to work effectively in cross-functional teams, collaborating with engineers, product managers, and sales/marketing teams to ensure customer satisfaction and success.</li><li><strong>Travel Requirements</strong>: They will have to be on-site to do site assessment. </li><li> <strong>Work Environment</strong>: This role involves both office-based work and customer-facing interactions, including on-site installations and troubleshooting. Travel to customer sites is required. </li></ul><br><p><strong>What Working at Analog Offers</strong></p><br><br><br><ul><li>Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we’re united by a belief that technology should amplify human potential rather than replace it.</li><li>Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.</li><li>Growth: Outstanding opportunities for learning and career development. You’ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.</li><li>Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.</li></ul><br><br> </div>

Company Description SRJ ELITE CONTRACTING & REAL ESTATE L. L. C is a Dubai-based GROUP OF COMPANIES construction and real estate firm specializing in major construction project and property investment, advisory, and premium asset acquisition across the UAE. The company partners with local and international investors to identify high-return opportunities in Dubai’s dynamic property market, offering tailored strategies aligned with client financial goals. The company is committed to transparency, professionalism, and long-term value creation, helping clients build strong portfolios in one of the world’s leading investment destinations. Role Description The Senior Civil Engineer will support SRJ ELITE CONTRACTING L. L. C’s development and investment projects by leading the planning, design, and technical review of civil engineering works for residential and commercial properties. This full-time, on-site role in Dubai involves preparing and overseeing site layouts, infrastructure designs, and stormwater management plans, ensuring compliance with local regulations and engineering standards. The Senior Civil Engineer will coordinate with architects, contractors, and consultants, review drawings and technical reports, and provide expert input during feasibility studies and due diligence for new acquisitions. Responsibilities include monitoring construction progress, resolving engineering issues, optimizing designs for cost, safety, and sustainability, and contributing to project timelines and budgeting. The role also requires mentoring junior engineers, maintaining accurate project documentation, and supporting the company’s strategic decision-making with technical assessments. Qualifications Strong Civil Engineering Design skills with proven experience in site development, infrastructure, and structural coordination. Professional Civil Engineering background, with experience working as part of multidisciplinary teams of Civil Engineers on construction HIGH RISE commercial and residential projects for more than 10 years of progressive experience. Experience in Planning, including project scheduling, resource allocation, and coordination of engineering activities across multiple sites. Expertise in raft, foundation, structure, architectural drawings, stormwater management, drainage design, and related hydraulic calculations in compliance with UAE and local Dubai regulations. Solid foundation in Civil Engineering principles, standards, and codes relevant to urban development and real estate projects. Bachelor’s degree in Civil Engineering; a Master’s degree or professional certification (e.g., Chartered/PE or equivalent) is an advantage. Proficiency with engineering and design software (e.g., Auto CAD, Civil 3D, drainage and hydrology tools) and strong technical reporting skills. Knowledge of UAE building codes, infrastructure regulations, and permitting processes, particularly within Dubai. Strong analytical, problem-solving, and decision-making abilities, with attention to detail and a focus on safety and quality

Company Description KAFF FIRE FIGHTING SAFETY EQUIPMENT INSTALLATION LLC is a specialized provider of fire protection and safety solutions based in Dubai. The company focuses on the design, supply, installation, and maintenance of fire fighting systems and fire stop projects for commercial, industrial, and residential clients. KAFF FIRE FIGHTING SAFETY EQUIPMENT INSTALLATION LLC works to ensure compliance with local fire safety regulations and international standards. Team members collaborate closely with clients, contractors, and authorities to deliver reliable, high-quality systems that safeguard people, property, and critical infrastructure.<br>Role Description The Sales Engineer – Fire Fighting & Fire Stop Projects role is a full-time, on-site position based in Dubai. The Sales Engineer will identify and qualify project opportunities, prepare proposals and quotations, and conduct technical presentations and product demonstrations for fire fighting and fire stop systems. Daily responsibilities include meeting with clients and consultants, reviewing project specifications and drawings, coordinating with the engineering and installation teams, and providing technical support before and after sales. The role involves negotiating contracts, following up on leads, managing a sales pipeline, and ensuring timely project handover and customer satisfaction. The Sales Engineer will also monitor market trends, participate in site visits, and support compliance with local fire safety codes and company policies.<br>Qualifications<br> Candidates should possess strong Sales Engineering and Technical Support skills, with experience in fire fighting and fire stop systems or related building services. Candidates should possess effective Communication and Customer Service skills to engage with clients, consultants, and contractors and build long-term relationships. Candidates should possess solid Sales skills, including lead generation, opportunity management, negotiation, and closing. Candidates should possess a good understanding of fire protection standards, local regulations, and basic design principles for fire fighting and fire stop solutions. Candidates should possess a relevant technical diploma or degree (e.g., Mechanical Engineering, Fire Protection Engineering) and prior experience in UAE or GCC markets. Candidates should possess proficiency in MS Office and the ability to read and interpret technical drawings; familiarity with CAD or similar tools is an advantage. Candidates should possess strong organizational and time-management abilities and be able to work independently and collaboratively on-site and in the field. Candidates should possess a valid UAE driving license or be willing and able to travel to client sites and project locations as required.

Job Title: Sales Engineer Location: Dubai Salary: AED 8,000 - 10,000Job Code: 088/001/482Industry: HVAC / MEP Contracting<br>Job Brief:Our client in the HVAC / MEP contracting industry is seeking an experienced Sales Engineer to drive pump sales across the country by identifying new business opportunities, developing strong client relationships, and providing technically sound pump solutions. The successful candidate will be responsible for understanding customer requirements, promoting pump products, managing project sales, and coordinating with internal teams to ensure successful project execution.<br>The ideal candidate will have a Mechanical Engineering background, proven sales experience in pumps or related mechanical products, strong negotiation skills, and the ability to generate new business through contractors, consultants, and project networks.<br>Job Responsibilities:Generate and manage sales of pump products and solutions across assigned territories and customer accounts. Understand client requirements and recommend suitable pump products and technical solutions based on project specifications and application needs. Identify new project opportunities through market research, consultant and contractor networks, and business development activities. Build and maintain strong relationships with consultants, contractors, developers, and end users to generate repeat business and secure new projects. Prepare technical and commercial proposals in coordination with internal teams and follow up with clients to convert opportunities into confirmed orders. Coordinate with internal departments to ensure timely order processing, project execution, and customer satisfaction. Ensure project-related documents, including product manuals, warranty letters, and technical documentation, are issued accurately and on time. Ensure all project specifications and technical requirements are communicated to the Service Team before Testing & Commissioning (T&C). Monitor project progress and maintain regular communication with clients to provide updates and resolve any commercial or technical concerns. Maintain accurate records of sales activities, customer interactions, project status, and business opportunities while consistently achieving assigned sales targets.<br>Job Requirements:Bachelor's Degree in Mechanical Engineering. Minimum 5 years of proven experience as a Sales Engineer, preferably within the pump, HVAC, MEP, or related engineering industry. Strong understanding of pump products, applications, and project sales processes. Experience working with consultants, contractors, developers, and end users within the region. Excellent negotiation, communication, and relationship management skills. Ability to understand project specifications and recommend appropriate technical solutions. Strong commercial awareness with the ability to identify and develop new business opportunities. Self-motivated, target-driven, and capable of managing multiple customer accounts simultaneously. Valid driving license is mandatory.

Company Description The company is an established engineering organization operating in Abu Dhabi, delivering electrical testing, commissioning, and related services for industrial, commercial, and infrastructure projects. It focuses on quality, safety, and compliance with international and regional standards, supporting clients across the full project lifecycle from design review to final handover. Team members collaborate with multidisciplinary professionals and gain exposure to modern electrical systems and advanced testing equipment. The company values continuous learning, professional integrity, and reliable project delivery, offering opportunities for growth and development within a technically challenging environment. Role Description The Testing and Commissioning Electrical Engineer is a full-time, on-site role based in Abu Dhabi. The engineer will perform electrical testing, commissioning, and troubleshooting for systems such as switchgear, transformers, protection relays, LV/MV distribution, and related equipment, ensuring they meet project specifications and regulatory requirements. Daily responsibilities include preparing test procedures and reports, conducting functional and performance tests, reviewing drawings and documentation, and coordinating with project managers, contractors, and clients to plan and execute commissioning activities. The role involves identifying and resolving technical issues, ensuring adherence to safety standards, participating in inspections, and supporting energization and handover processes. The engineer will also maintain accurate records, contribute to method statements and risk assessments, and support continuous improvement of testing and commissioning practices. Qualifications Strong foundation in electrical engineering principles, preferably with a bachelor’s degree in Electrical Engineering or a closely related field. Experience with electrical testing and commissioning of LV/MV systems, including switchgear, transformers, protection relays, and power distribution networks. Knowledge of relevant electrical standards and codes (such as IEC, IEEE, local authority regulations) and familiarity with safety practices and permit-to-work systems. Ability to read and interpret electrical drawings, single-line diagrams, schematics, and technical documentation. Competence in using electrical testing instruments (e.g., insulation resistance testers, relay test sets, power analyzers, multimeters) and preparing test reports. Strong problem-solving skills and practical troubleshooting abilities in live project environments. Effective communication skills, with the ability to collaborate with multidisciplinary teams and interact professionally with clients and site stakeholders. Prior experience in construction, infrastructure, oil and gas, or industrial projects in the GCC region is an advantage. Willingness to work on-site in Abu Dhabi, with flexibility for extended hours or shift work when required by project schedules.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><br></p><p>We are looking for an experienced and highly motivated <b>Senior BMS Sales Engineer</b> to join our team.</p><p>The ideal candidate should have strong technical knowledge of Building Management Systems (BMS), including system design, engineering, programming support, and commissioning, combined with excellent sales and business development skills.</p><p>The candidate will be responsible for identifying new business opportunities, building relationships with consultants, MEP contractors, developers, and end users, preparing technical and commercial proposals, and supporting project execution.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><br></p><p><b>Sales &amp; Business Development</b></p><ul><li>Develop new business opportunities in the UAE market.</li><li>Build strong relationships with Developers, MEP Contractors, Consultants, Facility Management companies, and End Users.</li><li>Generate new leads and convert them into projects.</li><li>Conduct client meetings and technical presentations.</li><li>Promote Siemens Building Automation solutions.</li><li>Achieve monthly and annual sales targets.</li><li>Follow up quotations until project award.</li><li>Participate in project negotiations.</li><li><br></li></ul><p><b>Technical Responsibilities</b></p><ul><li>Design complete BMS solutions.</li><li>Review project specifications and drawings.</li><li>Prepare BOQs and technical submittals.</li><li>Select Siemens BMS products.</li><li>Support programming and commissioning teams.</li><li>Attend technical meetings with consultants and contractors.</li><li>Provide technical support before and after project award.</li></ul><p><br></p><p>Qualifications</p><ul><li>Bachelor's Degree in Electrical, Mechanical, Mechatronics, or Automation Engineering.</li><li>5+ years of experience in BMS.</li><li>Previous experience with Siemens Building Technologies.</li><li>Strong knowledge of HVAC systems.</li><li>Experience with:</li><li>Desigo CC</li><li>Desigo PX</li><li>BACnet</li><li>Modbus</li><li>KNX (Preferred)</li><li>Experience in system design and commissioning.</li><li>UAE driving license is mandatory</li></ul><p>. .</p><p><br></p><p><br></p></div>

Company Description UNIFASTENER Bolts Industries is a UAE-based manufacturer and supplier of high-quality industrial fastening solutions, engineered metal components, and customized fabrication products. The company serves construction, infrastructure, oil & gas, marine, energy, petrochemical, HVAC, fencing, and broader industrial sectors across the GCC and international markets. Its extensive product range includes high tensile bolts, anchor bolts, threaded rods, custom bent anchors, clamps, brackets, fencing accessories, and bespoke fasteners produced to ASTM, DIN, and ISO standards. UNIFASTENER operates under a robust ISO 9001:2015-certified quality management system, ensuring stringent inspection, traceability, and compliance with customer and industry requirements. As an approved supplier with ADNOC and other leading organizations, the company is recognized for its advanced manufacturing capabilities, technical expertise, and customer-focused approach to delivering reliable, value-driven solutions.<br>Role Description The Production Engineer at Unifastener Bolts Industries is a full-time, on-site role based in Umm Al Quwain. The role is responsible for overseeing daily production activities, ensuring that manufacturing processes for bolts, fasteners, and engineered components run efficiently, safely, and in line with quality and technical specifications. Typical tasks include planning and scheduling production, coordinating resources, monitoring machine performance, and optimizing workflows to meet delivery timelines and cost targets. The Production Engineer collaborates closely with operations, quality, maintenance, and supply chain teams to resolve issues, implement process improvements, and support continuous enhancement of productivity and product reliability. The role also involves maintaining production documentation, supporting compliance with ISO standards and customer requirements, and contributing to the implementation of new technologies and methods across the facility.<br>Qualifications<br> Candidates should possess strong Production Engineering expertise, including knowledge of manufacturing processes, industrial fasteners, and metal fabrication. Candidates should possess solid Analytical Skills and problem-solving abilities to interpret production data and drive process improvements. Candidates should possess experience in Production Planning and scheduling, including resource allocation and workflow optimization. Candidates should possess practical Quality Control skills, with familiarity in ISO 9001:2015 standards and inspection methods. Candidates should possess effective Communication skills to collaborate with cross-functional teams, vendors, and customers. A bachelor’s degree in Mechanical Engineering, Production Engineering, or a related field is preferred. Experience in industrial manufacturing, fasteners, or metal components in a GCC or similar environment is an advantage. Proficiency in relevant engineering software (e.g., CAD, ERP/MRP systems) and basic MS Office is beneficial. Demonstrated focus on workplace safety, process discipline, and continuous improvement is highly valued.