Machine operator Jobs
1457 Jobs Found
The position is reserved for MALE UAE Nationals with Family Book. The communication at work is 100% in English and therefore, they must be fluent.<br>Location:Mirfa International Power & Water Company (MIPCO), Mirfa, Abu Dhabi, United Arab Emirates Purpose of the Job:The Control Room Operator (CRO) ensures safe and efficient operation of the power and water plant, optimizing plant performance and maintaining all control systems to meet commercial and environmental targets. Key Responsibilities:- Enforce Health & Safety policies and monitor contractor compliance - Operate plant equipment and respond to emergencies - Conduct predictive and preventative maintenance - Perform calibration and repair of instrumentation and control systems - Maintain operational efficiency and cleanliness of the facility Work Environment & Safety:Operates in a high-risk, hazardous environment. Must use full PPE and comply with safety protocols. Job is classified as high-risk according to international safety regulations. Qualifications and Experience:Bachelor’s Diploma/degree in one of the following fields:Electrical Engineering Mechanical Engineering Chemical Engineering Instrumentation & Control Engineering, Or other relevant engineering disciplines Should have 3-5 Years / 3 years field or Plant control panel experience in Power Plant Operations. Maintenance experience is also considered for the role Skills:- Proficiency in English, Arabic is a plus - Strong communication and teamwork - Computer literate with diagnostic tool proficiency - Knowledge of safety, environmental, and emergency response practices General Expectations:Uphold MIPCO’s values, promote positive communication, ensure safety, and support local workforce development. Working hours:The normal working hours is 02 morning & 02 nights shift of 12 Hrs. each and followed by 04 days week offs. Must be flexible with day or night shift Ready to be located near site during the shift days.
Job Description<br><br>About Wynn Al Marjan Island:<br><br>On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.<br><br>About The Position<br><br>Wynn Al Marjan Island is looking for a Machine Learning Operations Engineer to join our Database Marketing team.<br><br>Responsibilities<br><br>The primary duties and responsibilities of this role are:<br><br> Deploy, monitor, and maintain machine learning models used across gaming marketing and player analytics. Operationalize Data Science outputs by building automated pipelines for scoring, segmentation, and campaign ready datasets. Ensure high reliability and uptime for model workflows, including job scheduling, error detection, and alerting. Collaborate with Data Scientists to productionize new models, optimize runtime performance, and improve stability. Build and maintain data pipelines supporting model features, input refreshes, and scheduled scoring processes. Implement QA processes to identify data drift, model degradation, and operational anomalies. Maintain version control and documentation for models, pipelines, and deployment procedures. Partner with Campaign Operations to ensure model outputs align with business logic, targeting requirements, and production schedules. Work with IT and infrastructure teams on compute resources, storage, and system performance. Support model retraining cycles, testing, and controlled rollouts of updated logic. Ensure compliance with internal data governance and security standards. <br><br>About You<br><br> Master’s or PhD in Computer Science, Engineering, Data Science, Statistics or a related technical field required. 5+ years of experience in Data Science, ML Ops, data engineering, or production‑level machine learning environments. Strong experience with Python, SQL, and workflow orchestration tools (Airflow or similar). Experience working with cloud-based data platforms. Familiarity with machine learning model lifecycle management, CI/CD pipelines, and version control (Git). Able to translate analytical requirements into stable, production‑ready workflows. Comfortable working in fast‑paced environments with daily and weekly operational deliverables. <br><br>About Wynn Al Marjan Island’s Benefits<br><br>We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.
<h2>We Are Hiring</h2><p>Looking for a stable job with immediate joining? Join our growing team today.</p><h2>Job Details</h2><p><strong>Position:</strong> Data Entry Operator<br><strong>Location:</strong> UAE<br><strong>Work Type:</strong> Full-Time / Part-Time</p><h2>Job Responsibilities</h2><ul><li>Enter and update data accurately</li><li>Maintain records and files</li><li>Handle basic computer tasks using Excel and MS Office</li><li>Ensure data confidentiality and accuracy</li></ul><h2>Salary & Benefits</h2><ul><li>Attractive salary package + incentives</li><li>Immediate joining opportunity</li><li>Easy and simple work process</li><li>Training provided</li><li>Friendly and supportive work environment</li></ul><h2>Requirements</h2><ul><li>Basic computer knowledge</li><li>Good typing speed</li><li>Attention to detail</li><li>Fresh graduates and experienced candidates can apply</li></ul><h2>Preferred Candidate</h2><ul><li>Career Level: Fresh Graduate</li></ul>
Role: Machine Learning Researcher (Remote) Location: Remote (Work from Anywhere) Payout: Competitive<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contractor basis. This role involves contributing domain expertise to train and refine next-generation AI systems through high-quality, real-world input. The work directly shapes how models learn, reason, and perform across industries such as finance, healthcare, and engineering. Candidates need not have prior AI experience; domain knowledge is the primary value delivered.<br>Key Responsibilities:• Lead and conduct cutting-edge research in machine learning and artificial intelligence domains to advance model capabilities and performance.• Design, implement, and evaluate state-of-the-art deep learning algorithms using frameworks such as Tensor Flow and other relevant tools.• Collaborate closely with engineering teams to translate research breakthroughs into scalable, production-ready solutions with measurable impact.• Publish research findings in peer-reviewed venues and contribute actively to the global AI/ML scholarly community through conferences and open-source efforts.• Continuously monitor and integrate advancements from the research community to maintain the team at the forefront of technological innovation.• Document methodologies, experiments, results, and insights clearly for both technical and non-technical stakeholders to support knowledge sharing and decision-making.<br>Required Skills & Qualifications:• Domain expertise in a relevant field such as finance, healthcare, engineering, or other specialized domains, enabling high-quality contributions to AI training and evaluation.• Hands-on experience with deep learning frameworks including Tensor Flow, PyTorch, or equivalent, with proven ability to implement and optimize models.• Strong research acumen demonstrated through prior publications, technical reports, or contributions to open-source projects in machine learning or related areas.• Ability to design and execute experiments, analyze results using statistical and qualitative methods, and iterate toward robust, reproducible outcomes.• Clear communication skills with experience translating technical concepts for diverse audiences, including engineers, product teams, and external partners.• Familiarity with reinforcement learning environments, data annotation best practices, or human-in-the-loop AI systems is a strong plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing directly to the development of frontier AI models used by labs and enterprises worldwide. It provides global exposure to cutting-edge research environments and the chance to shape how AI systems learn and perform across critical domains. The flexible remote structure enables top talent to contribute meaningfully while maintaining alignment with the organization’s mission to scale human expertise for AI advancement.<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 Researcher (Remote) Location: Remote (Work from Anywhere) Payout: Competitive<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contractor basis. This role involves contributing domain expertise to train and refine next-generation AI systems through high-quality, real-world input. The work directly shapes how models learn, reason, and perform across industries such as finance, healthcare, and engineering. Candidates need not have prior AI experience; domain knowledge is the primary value delivered.<br>Key Responsibilities:• Lead and conduct cutting-edge research in machine learning and artificial intelligence domains to advance model capabilities and performance.• Design, implement, and evaluate state-of-the-art deep learning algorithms using frameworks such as Tensor Flow and other relevant tools.• Collaborate closely with engineering teams to translate research breakthroughs into scalable, production-ready solutions with measurable impact.• Publish research findings in peer-reviewed venues and contribute actively to the global AI/ML scholarly community through conferences and open-source efforts.• Continuously monitor and integrate advancements from the research community to maintain the team at the forefront of technological innovation.• Document methodologies, experiments, results, and insights clearly for both technical and non-technical stakeholders to support knowledge sharing and decision-making.<br>Required Skills & Qualifications:• Domain expertise in a relevant field such as finance, healthcare, engineering, or other specialized domains, enabling high-quality contributions to AI training and evaluation.• Hands-on experience with deep learning frameworks including Tensor Flow, PyTorch, or equivalent, with proven ability to implement and optimize models.• Strong research acumen demonstrated through prior publications, technical reports, or contributions to open-source projects in machine learning or related areas.• Ability to design and execute experiments, analyze results using statistical and qualitative methods, and iterate toward robust, reproducible outcomes.• Clear communication skills with experience translating technical concepts for diverse audiences, including engineers, product teams, and external partners.• Familiarity with reinforcement learning environments, data annotation best practices, or human-in-the-loop AI systems is a strong plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing directly to the development of frontier AI models used by labs and enterprises worldwide. It provides global exposure to cutting-edge research environments and the chance to shape how AI systems learn and perform across critical domains. The flexible remote structure enables top talent to contribute meaningfully while maintaining alignment with the organization’s mission to scale human expertise for AI advancement.<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 Researcher (Remote) Location: Remote (Work from Anywhere) Payout: Competitive<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contractor basis. This role involves contributing domain expertise to train and refine next-generation AI systems through high-quality, real-world input. The work directly shapes how models learn, reason, and perform across industries such as finance, healthcare, and engineering. Candidates need not have prior AI experience; domain knowledge is the primary value delivered.<br>Key Responsibilities:• Lead and conduct cutting-edge research in machine learning and artificial intelligence domains to advance model capabilities and performance.• Design, implement, and evaluate state-of-the-art deep learning algorithms using frameworks such as Tensor Flow and other relevant tools.• Collaborate closely with engineering teams to translate research breakthroughs into scalable, production-ready solutions with measurable impact.• Publish research findings in peer-reviewed venues and contribute actively to the global AI/ML scholarly community through conferences and open-source efforts.• Continuously monitor and integrate advancements from the research community to maintain the team at the forefront of technological innovation.• Document methodologies, experiments, results, and insights clearly for both technical and non-technical stakeholders to support knowledge sharing and decision-making.<br>Required Skills & Qualifications:• Domain expertise in a relevant field such as finance, healthcare, engineering, or other specialized domains, enabling high-quality contributions to AI training and evaluation.• Hands-on experience with deep learning frameworks including Tensor Flow, PyTorch, or equivalent, with proven ability to implement and optimize models.• Strong research acumen demonstrated through prior publications, technical reports, or contributions to open-source projects in machine learning or related areas.• Ability to design and execute experiments, analyze results using statistical and qualitative methods, and iterate toward robust, reproducible outcomes.• Clear communication skills with experience translating technical concepts for diverse audiences, including engineers, product teams, and external partners.• Familiarity with reinforcement learning environments, data annotation best practices, or human-in-the-loop AI systems is a strong plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing directly to the development of frontier AI models used by labs and enterprises worldwide. It provides global exposure to cutting-edge research environments and the chance to shape how AI systems learn and perform across critical domains. The flexible remote structure enables top talent to contribute meaningfully while maintaining alignment with the organization’s mission to scale human expertise for AI advancement.<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!
Finance Content Operator Dubai, UAE (On-site) About Our Client Our client is a rapidly growing international Fin Tech company building one of the region's leading digital investment platforms. The business provides investors with access to global financial markets through innovative trading technology, AI-powered investment tools, financial education, and digital content. As part of its continued international expansion, the company is building a world-class content team in Dubai to serve investors across the Middle East and global markets. Responsibilities Plan and produce engaging finance-related content focused on the U. S. stock market. Support short-form video production and livestream operations. Manage and grow finance-focused social media accounts. Coordinate with content creators and influencers to execute content strategies. Analyze content performance and optimize engagement through data insights. Collaborate with cross-functional teams to deliver successful marketing campaigns. Stay updated on financial market trends and social media best practices. Requirements1+ years of experience in content operations, digital marketing, social media, or MCN. Strong interest in financial markets, particularly U. S. equities. Familiarity with Tik Tok and other social media platforms. Experience with content planning and performance analysis. Arabic language skills are highly desirable. Experience managing finance-related social media accounts is a plus. Ideal Background Candidates with experience in one or more of the following industries are encouraged to apply:Fin Tech Online Brokerage Financial Media Investment Education Digital Marketing Creator Economy Social Media Operations Financial Research Wealth Management Financial Communities Experience working with finance influencers or investment-focused digital platforms will be highly valued. Why Join? Join one of the fastest-growing Fin Tech businesses in the Middle East. Work in an international environment with global career opportunities. Be part of building a rapidly expanding financial content ecosystem. Competitive compensation package. Based in Dubai.
Finance Content Operator Dubai, UAE (On-site) About Our Client Our client is a rapidly growing international Fin Tech company building one of the region's leading digital investment platforms. The business provides investors with access to global financial markets through innovative trading technology, AI-powered investment tools, financial education, and digital content. As part of its continued international expansion, the company is building a world-class content team in Dubai to serve investors across the Middle East and global markets. Responsibilities Plan and produce engaging finance-related content focused on the U. S. stock market. Support short-form video production and livestream operations. Manage and grow finance-focused social media accounts. Coordinate with content creators and influencers to execute content strategies. Analyze content performance and optimize engagement through data insights. Collaborate with cross-functional teams to deliver successful marketing campaigns. Stay updated on financial market trends and social media best practices. Requirements1+ years of experience in content operations, digital marketing, social media, or MCN. Strong interest in financial markets, particularly U. S. equities. Familiarity with Tik Tok and other social media platforms. Experience with content planning and performance analysis. Arabic language skills are highly desirable. Experience managing finance-related social media accounts is a plus. Ideal Background Candidates with experience in one or more of the following industries are encouraged to apply:Fin Tech Online Brokerage Financial Media Investment Education Digital Marketing Creator Economy Social Media Operations Financial Research Wealth Management Financial Communities Experience working with finance influencers or investment-focused digital platforms will be highly valued. Why Join? Join one of the fastest-growing Fin Tech businesses in the Middle East. Work in an international environment with global career opportunities. Be part of building a rapidly expanding financial content ecosystem. Competitive compensation package. Based in Dubai.
Job Description<br><br>Exceptional Hospitality Starts with You<br><br>Picture yourself brightening someone’s day. When you join our Hotels team, that’s exactly what you’ll do every time you come to work! As a Plant Operator, and finishes are well-maintained and visually appealing – you’re spreading the light and warmth of hospitality by delivering memorable experiences that make the stay for every guest.<br><br>Responsibilities<br><br>Here's what you'll do during a typical day:<br><br>Responsibilities<br><br>As a Plant Operator, is responsible for the maintenance operations within the hotel, ensuring the upkeep of all property facilities and implementing effective energy conservation practices to maintain the highest standards of comfort and efficiency to deliver an excellent Guest and Member experience. Specifically, you will be responsible for performing the following tasks to the highest standards:<br><br>Oversee and manage the operation, maintenance, and repair of all hotel plant rooms, including HVAC systems, plumbing, electrical systems, and swimming pool equipment Conduct routine inspections of plant rooms, swimming pool systems, and related equipment to identify and address maintenance issues promptly. Ensure proper handling, storage, and application of chemicals used in swimming pool maintenance and other plant operations, adhering to safety and regulatory standards. Demonstrate comprehensive knowledge of chemical handling procedures, including water treatment for the swimming pools, to maintain safe and optimal conditions. Perform preventive maintenance tasks on plant room equipment, including boilers, chillers, pumps, and filtration systems, to ensure efficient and uninterrupted operation. Monitor and maintain swimming pool water quality, including p H levels, chlorine levels, and other chemical parameters, to meet health and safety standards. Respond promptly and efficiently to maintenance calls related to plant rooms, swimming pool systems, or other hotel facilities. Keep accurate records of maintenance activities, chemical usage, work orders, and inventory of parts and supplies. Monitor and manage energy usage across plant room operations to improve efficiency, reduce costs, and recommend energy-saving initiatives. Follow all safety protocols, including those related to chemical handling, to maintain a safe working environment for team members and guests. Source and procure necessary parts, chemicals, and supplies for plant room and swimming pool maintenance and repairs. Maintain all tools, equipment, and working areas in good condition to ensure operational readiness. Recommend improvements to maintenance systems, chemical handling processes, and energy-saving measures to enhance plant room and pool operations.<br><br>Qualifications<br><br>What It Takes to Make the Stay<br><br>Skills<br><br>A Plant Operator serving Hilton brands is always working on behalf of our Guests and working with other Team Members. To successfully fill this role, you should maintain the attitude, behaviours, skills, and values that follow:<br><br> Comprehensive knowledge of HVAC systems, plumbing, electrical systems, swimming pool equipment, and other plant room systems within a hotel environment. Expertise in the safe handling, storage, and application of chemicals, particularly those used in swimming pool water treatment, ensuring compliance with health and safety regulations. Ability to diagnose and repair mechanical and operational issues in plant room and swimming pool systems efficiently. Ability to prioritize and manage multiple maintenance requests, including urgent issues related to plant rooms and swimming pool systems. Knowledge of energy-saving practices, sustainability initiatives, and water treatment processes to optimize plant room and pool operations in the hotel industry Previous experience in a similar role <br><br>About Us<br><br>Join an Award-Winning Workplace Culture<br><br>At Hilton, we don’t just deliver exceptional experiences for our guests—we build an exceptional workplace for the Team Members who make it all possible. As a global leader in hospitality, we’ve welcomed more than 3 billion guests worldwide, all while staying true to our founding vision: to fill the earth with the light and warmth of hospitality.<br><br>Our award-winning culture has earned us repeated recognition on the World’s Best Workplaces list by Great Place to Work and Fortune. With our suite of world-class brands , and a company-wide commitment to providing the best stay for every guest, we’re setting new standards for the future of travel.<br><br>Whether you’re starting your career or exploring something new, Hilton supports your journey every step of the way. Come for the job, stay for the career—and help us make every stay a little more magical.<br><br>Curious about life at Hilton? Explore our Careers Blog to see why we’re more than a great place to stay—we’re a great place to work.
Home<br><br>Jobs<br><br>Data Engineering<br><br>Senior Machine Learning Engineer<br><br>Published on Aug 09, 2021<br><br>GLOBRECS | Global Recruitment Solutions<br><br>A Product company with office in Kyiv, Ukraine.<br><br>Apply for a Job<br><br>Experience<br><br>1-3 years<br><br>Job Type<br><br>Full-Time<br><br>Remote<br><br>Specializations<br><br>Data Engineering<br><br>Deep Learning<br><br>Data Science & AI<br><br>What You Will Do Responsibilities<br><br>Business optimization project work and coordination of data scientists;<br><br>Deployment and maintenance of ML framework/platforms (DVC and MLflow);<br><br>Design and optimization of ML architecture and balancing of model computing;<br><br>Coordination and maintenance of the ML architecture documentation process;<br><br>Health monitoring of ML infrastructure, quality, and performance of ML models;<br><br>Development, automation, monitoring, and optimization of ML pipelines.<br><br>What You Should Bring<br><br>Must-have<br><br>A degree in Computer Science (technical or economics degree);<br><br>3+ years of experience with MLOps (preferably DVC, MLflow, Airflow, Flask, Docker, Git, etc.)<br><br>Strong Machine Learning and Data Analysis skills;<br><br>Experience with ML frameworks (Tensor Flow/Keras, etc.);<br><br>Strong Python and SQL;<br><br>Experience with ETL and visualization tools;<br><br>Good understanding of DWH & Data Lakes architecture;<br><br>Good documentation skills;<br><br>Intermediate English level or higher.<br><br>Nice-to-have<br><br>Previous retail industry experience or in banking/telecommunication companies;<br><br>NoSQL experience (HDFS, Hadoop, Spark);<br><br>Understanding Kubernetes Architecture for Data Science Workloads.<br><br>Similar Jobs in Data Engineering, Deep Learning and Data Science & AI<br><br>Computer Vision Engineer You Scan<br><br>Senior Data Scientist - Fluent in English Bennett Data Science<br><br>Data Science OTP Bank<br><br>Machine Learning Engineer Flyaps<br><br>Junior Data Scientist NIX<br><br>Data Scientist Recruiting Republic<br><br>Recommended Courses in Data Engineering, Deep Learning and Data Science & AI<br><br>Data Science Fundamentals<br><br>by Data Root Labs<br><br>Online Course Start 24/7 Free<br><br>Practical Deep Learning with PyTorch<br><br>by Data Root Labs<br><br>Online Course Start 24/7 Free<br><br>Production Deep Learning with Tensor Flow 2.0<br><br>by Data Root Labs<br><br>Online Course Start 24/7 Free
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<strong>Job Summary</strong><p>The Fire Truck Driver Operator safely drives fire appliances and associated equipment to support fire and emergency response across the organisation’s sites. You will complete daily vehicle checks, attend incident scenes, support firefighting and rescue activities as directed, and assist with routine maintenance, cleaning and equipment stowage. Working within a multi-disciplinary team, you will maintain compliance with road and safety regulations and contribute to training, exercises and continuous improvement.</p><br><br><strong>Key Responsibilities</strong><ul><li><p><strong>Vehicle Operation & Driving</strong></p><br><br><ul><li><p>Drive fire appliances and ancillary vehicles safely and lawfully to and from incidents, exercises and station duties</p><br><br></li><li><p>Use defensive driving techniques and follow road traffic legislation and emergency driving policies</p><br><br></li><li><p>Operate pumps, ladders and ancillary equipment during operational duties</p><br><br></li></ul></li><li><p><strong>Pre-shift Checks & Maintenance</strong></p><br><br><ul><li><p>Complete pre- and post-shift vehicle and equipment checks, record findings and report defects</p><br><br></li><li><p>Support routine maintenance, cleaning and minor servicing to keep equipment in readiness</p><br><br></li><li><p>Ensure correct stowage and inventory of firefighting and rescue equipment</p><br><br></li></ul></li><li><p><strong>Operational Support & Response</strong></p><br><br><ul><li><p>Support firefighting, rescue and other emergency tasks as directed by the incident commander or senior crew</p><br><br></li><li><p>Operate and assist with pumps, hose reels, lighting and other appliance-mounted systems under supervision</p><br><br></li><li><p>Assist with scene safety, traffic management and casualty support where appropriate</p><br><br></li></ul></li><li><p><strong>Health, Safety & Compliance</strong></p><br><br><ul><li><p>Follow health and safety policies, safe systems of work and PPE requirements</p><br><br></li><li><p>Meet regulatory and organisational requirements for inspections, maintenance records and driver qualifications</p><br><br></li><li><p>Report incidents, near misses and vehicle defects promptly and support investigations</p><br><br></li></ul></li><li><p><strong>Training & Professional Development</strong></p><br><br><ul><li><p>Attend training, drills and competency assessments for driving and operational support tasks</p><br><br></li><li><p>Maintain required driver licences, endorsements and medical fitness to drive heavy emergency vehicles</p><br><br></li><li><p>Share knowledge and learn from exercises and incidents</p><br><br></li></ul></li><li><p><strong>Administration & Reporting</strong></p><br><br><ul><li><p>Complete vehicle logbooks, defect reports and operational records accurately and on time</p><br><br></li><li><p>Support rostering and availability records and communicate changes promptly</p><br><br></li><li><p>Provide requested input to performance and fleet management information</p><br><br></li></ul></li></ul><strong>Requirements</strong><p><strong>Education & Qualifications</strong></p><br><br><ul><li><p>Full UAE driving licence with the appropriate category for the appliance and any required vocational licences or endorsements</p><br><br></li><li><p>Relevant vocational training or certificates in appliance operation or pump operation desirable</p><br><br></li></ul><p><strong>Experience</strong></p><br><br><ul><li><p>Previous experience in fire, rescue, emergency services or similar environments advantageous</p><br><br></li><li><p>Demonstrable track record of safe driving and working under operational pressure preferred</p><br><br></li></ul>
<br><br> </div>
Role Summary<br><br>AI71 is seeking a Senior Machine Learning Engineer to lead the development and deployment of advanced AI models for the EDGE Group. In this role, you will be responsible for the end-to-end lifecycle of our machine learning systems—from architectural design and data preprocessing to model training, optimization, and production deployment.<br><br>You will work at the intersection of generative AI and traditional machine learning, building the engines that power two flagship initiatives: Lever EDGE (automated requirements engineering via LLMs) and Intelligent Supply Chain (predictive risk scoring and demand forecasting). Operating within a structured "Sprint Zero" to "Stage Gate" delivery model, you will ensure our models are not just accurate, but also robust, explainable, and deployable within strict defense-grade security environments.<br><br>Key Responsibilities<br><br> LLM & NLP Pipelines (Lever EDGE) Regulation Parsing: Design and fine-tune Large Language Model (LLM) pipelines to interpret complex regulatory texts (e.g., military standards, building codes) and extract structured rules. Rule Formalization: Convert natural language requirements into computer-processable formats (e.g., logic tuples) that can be executed by downstream compliance engines. Semantic Search: Implement RAG (Retrieval-Augmented Generation) architectures to enable semantic querying of technical documentation and historical project data. Prompt Engineering: optimize prompt strategies (few-shot learning, chain-of-thought) to improve model performance on domain-specific tasks without extensive retraining. Predictive & Analytical Models (Supply Chain) Forecasting Engines: Develop time-series forecasting models to predict material demand and spend categories, integrating internal ERP data with external market signals. Risk Scoring: Build classification and anomaly detection models to assess supplier risk profiles based on financial health, delivery performance, and geopolitical factors. Optimization Algorithms: Design algorithms for multi-objective optimization (e.g., balancing cost vs. lead time vs. risk) to support procurement decision-making. MLOps & Productionization Model Deployment: Containerize models using Docker/Kubernetes and deploy them into secure, on-premise inference environments. Pipeline Orchestration: Build automated training and inference pipelines using tools like Kubeflow or MLflow to ensure reproducibility and scalability. Performance Optimization: Optimize model inference latency and resource usage (e.g., quantization, distillation) to run efficiently on available hardware. Monitoring & retraining: Implement monitoring systems to track model drift and performance in production, establishing feedback loops for continuous improvement.<br><br>Technical Requirements<br><br>Core ML/AI: Expert proficiency in Python and standard ML libraries (PyTorch, Tensor Flow, Scikit-learn, Pandas, Num Py). NLP & Gen AI: Strong experience with transformer architectures (BERT, GPT, Llama) and NLP frameworks (Hugging Face, Lang Chain). MLOps: Proficiency with MLOps tools and practices, including containerization (Docker), orchestration (Kubernetes), and experiment tracking (MLflow). Data Handling: Ability to design data preprocessing pipelines for both structured (SQL, tabular) and unstructured (text, PDF) data. Algorithm Design: Strong grasp of algorithmic principles for implementing custom logic, such as graph traversal or geometric computations.<br><br>Professional Qualifications<br><br>Experience: 5+ years of experience in Machine Learning Engineering, with a proven track record of deploying models into production environments. Domain Adaptability: Ability to quickly learn and apply ML techniques to specialized domains like defense engineering, supply chain, or construction. Structured Delivery: Experience working in agile environments (Sprints) while adhering to rigorous engineering standards and documentation requirements. Collaboration: Strong communication skills to work effectively with Data Scientists, Backend Engineers, and Domain Experts to align technical solutions with business needs.<br><br>Why This Role?<br><br>You will be building the intelligence that drives critical national infrastructure. Your models will not just generate text or predictions; they will directly influence the design of defense systems and the resilience of supply chains. If you are ready to apply advanced ML to tangible, high-stakes problems in a rigorous engineering environment, join AI71.
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><b>osition: Part-Time Data Entry Operator (Remote Work From Home)</b></p><p><b>Working Hours:</b> 2 to 3 Hours Daily</p><p><b>Income:</b> AED 2,000 to AED 6,000 per Month</p><p><b>Education:</b> Any Degree</p><p><b>Work Location:</b> Remote / Home-Based</p><p>We are looking for reliable, self-motivated, and detail-oriented candidates to join our team as <b>Part-Time Data Entry Operators</b>. This is a flexible remote work opportunity suitable for students, homemakers, freelancers, and individuals looking for an additional source of income while working from the comfort of their home.</p><p><br></p><p>Interested candidates may contact our HR Executive through the official contact below for job details and application guidance. Contact: [recruitmentatdataentry {at} gmail {•} com] (Replace (at) and (dot) with at and • when sending)</p><p><br></p><p><b>Requirements:</b></p><ul><li>Laptop or Computer</li><li>Basic computer knowledge</li><li>Good typing speed and accuracy</li><li>Stable internet connection</li><li>Ability to follow instructions and complete tasks on time</li></ul><p><b>Job Responsibilities:</b></p><ul><li>Enter and update data accurately in assigned systems</li><li>Perform basic data entry and document processing tasks</li><li>Review information for accuracy and maintain quality standards</li><li>Handle company information with confidentiality</li><li>Complete assigned projects within the given deadlines</li></ul><p><br></p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p>Data Entry Skills</p><p>Typing Speed and Accuracy</p><p>Copy-Paste Skills</p><p>Microsoft Word & Excel Knowledge</p><p>Basic Computer Skills</p><p>Data Accuracy and Attention to Detail</p><p>Document Processing Skills</p></div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li>Safely operate crawler cranes with capacities exceeding 100 tons, lifting and moving heavy materials on large-scale construction sites.</li><li>Precisely position loads, ensuring accuracy within millimeters to avoid damage to structures and personnel.</li><li>Inspect crane components daily, including cables, hooks, and hydraulic systems, to preemptively identify and report any defects.</li><li>Execute complex lifts such as tandem lifts and those involving multiple crane coordination, adhering to strict safety protocols.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Must have UAE driving License .</p></li><li><p>Possess a valid Crawler Crane Operator certification (e.g., NCCCO) and a high school diploma or equivalent.</p></li><li><p>Have a minimum of 5 years of verifiable experience operating various models of crawler cranes in demanding environments.</p></li><li><p>Demonstrate a strong understanding of load charts, rigging principles, and heavy lifting techniques.</p></li><li><p>Exhibit excellent spatial awareness and hand-eye coordination for precise load manipulation.</p></li></ul><p></p></section>
Join Ecolab’s industry leading Nalco Water team as an Operator with one of our reputable Steel customers and see why Selling Power magazine has consistently ranked Ecolab as a top company to sell for. We’re growing and need talented people like you to help us continue to protect the world’s most vital resources.<br><br>What’s In It For You<br><br>The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, abundant energy and healthy environments The ability to make an impact and shape your career with a company that is passionate about growth The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best<br><br>What You Will Do<br><br>Customer Relationship Management. Support the Site Engineer/ Supervisor in maintaining relationships at site/operational level. Provide daily water analysis and services to execute agreed upon customer system assurance and continuous improvement plans. Communicate daily analysis results and highlight/ address any non-conformances in timely manner. Meet with relevant customer stake-holders daily to develop relationships and keep abreast of needs. Monitor and manage chemical inventories onsite and supervise site assistant for placement and re-batching of chemicals. Monitor chemical dosing systems to ensure dosages as per target and trouble-shoot any issues as they arise, and escalate when necessary. Manage monthly coupon extractions/ replacements for corrosion monitoring. Assist Site Engineer with plant surveys of respective water systems. Conduct start-ups of Nalco treatment applications after outages/ downtime. Provide technical support to Site Engineer to identify and resolve customer challenges, escalating as required. Support in problem solving by performing system analysis, interpreting data and providing recommendations to ensure customer operations are performing optimally. Actively support Nalco innovations and technology where you provide service support. Support Site Engineer to ensure treatment program performance is always within limits. Build a culture of partnership based on Win-Win outcome at customer site. Supports and is committed to Nalco's Safety and Quality Process with dictated PPE used for all activities. Services assigned account to maintain programs KPIs, Business Process related documentation, proactively identify and mitigate potential challenges.<br><br>Qualifications<br><br>Technical degree in Science or Engineering preferred. Must have strong mechanical aptitude. Proactive, disciplined and forward thinking. Autonomous self-starter with good interpersonal and communication skills. Fluency in English. Major plus would be having >2yrs experience in water treatment, especially in Reverse Osmosis systems.<br><br>Our Commitment to a Culture of Inclusion & Belonging<br><br>Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.
Join Ecolab’s industry leading Nalco Water team as an Operator with one of our reputable Steel customers and see why Selling Power magazine has consistently ranked Ecolab as a top company to sell for. We’re growing and need talented people like you to help us continue to protect the world’s most vital resources.<br><br>What’s In It For You<br><br>The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, abundant energy and healthy environments The ability to make an impact and shape your career with a company that is passionate about growth The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best<br><br>What You Will Do<br><br>Customer Relationship Management. Support the Site Engineer/ Supervisor in maintaining relationships at site/operational level. Provide daily water analysis and services to execute agreed upon customer system assurance and continuous improvement plans. Communicate daily analysis results and highlight/ address any non-conformances in timely manner. Meet with relevant customer stake-holders daily to develop relationships and keep abreast of needs. Monitor and manage chemical inventories onsite and supervise site assistant for placement and re-batching of chemicals. Monitor chemical dosing systems to ensure dosages as per target and trouble-shoot any issues as they arise, and escalate when necessary. Manage monthly coupon extractions/ replacements for corrosion monitoring. Assist Site Engineer with plant surveys of respective water systems. Conduct start-ups of Nalco treatment applications after outages/ downtime. Provide technical support to Site Engineer to identify and resolve customer challenges, escalating as required. Support in problem solving by performing system analysis, interpreting data and providing recommendations to ensure customer operations are performing optimally. Actively support Nalco innovations and technology where you provide service support. Support Site Engineer to ensure treatment program performance is always within limits. Build a culture of partnership based on Win-Win outcome at customer site. Supports and is committed to Nalco's Safety and Quality Process with dictated PPE used for all activities. Services assigned account to maintain programs KPIs, Business Process related documentation, proactively identify and mitigate potential challenges.<br><br>Qualifications<br><br>Technical degree in Science or Engineering preferred. Must have strong mechanical aptitude. Proactive, disciplined and forward thinking. Autonomous self-starter with good interpersonal and communication skills. Fluency in English. Major plus would be having >2yrs experience in water treatment, especially in Reverse Osmosis systems.<br><br>Our Commitment to a Culture of Inclusion & Belonging<br><br>Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.
Reports To: Chief UAV Test Pilot<br><br> Role Overview: <br><br>Our Team is a pioneering UAV development company focused on designing, prototyping, and deploying next-generation tactical and ISR unmanned aerial systems (UAS). Reporting directly to the Chief UAV Test Pilot, the Junior UAV Technical Operator will support both flight operations and system integration activities. This role requires strong technical capability, hands-on engineering aptitude, and an aviation-oriented background such as RC modeling, simulator flying, or similar experience. The ideal candidate is a technically driven individual who can operate UAV platforms while also contributing to integration, testing, troubleshooting, and system validation.<br><br> Key Responsibilities: <br><br> Flight Test Execution Assist in planning and executing UAV test flights in accordance with test protocols, safety procedures, and performance objectives. Execute pre-flight checks, flight test briefings, and post-flight analyses under the supervision of the Chief UAV Test Pilot. Operate diverse UAV platforms including fixed-wing, VTOL, and Drone-in-a-Box systems, focusing on validation and performance evaluation. Support validation of new software builds, payload configurations, and avionics updates. Technical & Integration Support Participate in integration activities including sensors, communication systems, avionics modules, and mission-specific payloads. Perform hands-on technical tasks such as wiring checks, hardware installation, system calibration, and basic UAV maintenance. Troubleshoot system issues during ground and flight testing and provide rapid technical feedback to engineering teams. Collaborate with design, software, and hardware teams to ensure seamless integration of evolving technologies . Test Planning and Data Analysis Contribute to the preparation of test plans, test cards, and technical procedures for both ground and flight activities. Record and analyze test data, supporting engineering teams with structured feedback and system performance insights. Assist in documenting integration activities and technical findings to support iterative development cycles. Safety and Compliance Strictly adhere to Phantom Labs safety standards, aviation regulations, and operational policies during testing operations. Participate in risk assessments and contribute actively to enhancing test safety protocols. Collaboration and Reporting Maintain clear and concise communication with the Chief UAV Test Pilot and multidisciplinary teams involved in rapid UAV development. Document test logs and generate detailed test reports to support continuous improvement initiatives and rapid development cycles. <br><br> Qualifications: <br><br> Minimum 1-2 years of aviation experience; UAV experience; Strongly preferred – hands-on UAV experience. <br><br>OR<br><br> RC modeling experience with fixed or rotary wing. General aviation experience - LSA or GA pilot with 100 hours and more. Strong technical background is mandatory , with hands-on experience in robotics, electronics, avionics, or hardware integration. Proven ability to perform technical troubleshooting, hardware setup, wiring verification, and system-level diagnostics. A Bachelor’s degree in Mechanical Engineering or a related engineering discipline is required. Demonstrated accountability, trustworthiness, and the ability to perform effectively in high-pressure environments. Strong technical aptitude and ability to quickly assimilate and apply new technological concepts. Capable of performing hands-on technical tasks, including basic UAV maintenance and troubleshooting. Comfortable working in fast-paced, dynamic environments. Able to perform duties in challenging outdoor and varied climatic conditions. Advantage - Certification or relevant qualification from recognized aviation authorities (FAA/EASA/ICAO or equivalent) is preferred.
<p><h4>Job Description</h4>
<p>The CAD operator manages and maintains project models and CAD drawings, ensuring accuracy, reliability, and compliance with client requirements and BIM standards. The role supports project teams by providing model extraction, clash detection, coordination with consultants, and validation of design information throughout the project lifecycle.</p>
<p>Responsibilities include:</p>
<ul>
<li>Support and develop constituent parts of the information model or CAD drawings in connection with specific tasks and production of project outputs.</li>
<li>Create, maintain, and manage a single point central database that hosts all models or CAD files.</li>
<li>Review models and CAD drawings with contractors and consultants to highlight any design or construction issues.</li>
<li>Provide direct support to the project team in extracting information from the model or CAD files for visualization purposes.</li>
<li>Enforce reliability of the BIM models information and CAD files so that they are an accurate representation.</li>
<li>Regularly audit, integrate, and validate information to ensure the BIM model and CAD files are robust and meet client requirements.</li>
<li>Ensure level of information need (LOIN) delivered in the models are as per deliverables requirements of the relevant stage of the project.</li>
<li>Manage model updates.</li>
<li>Coordinate submission and exchange of models.</li>
<li>Provide clash detection.</li>
<li>Support and participate in recording lessons learned and sharing with relevant parties.</li>
<li>Support and participate in identifying and classifying any risks related to BIM and their mitigation strategies.</li>
<li>Ensure the BIM management system is maintained and followed.</li>
<li>Attend and provide support during coordination meetings with consultants.</li>
<li>Inform themselves of the relevant quality, environmental, safety, and occupational health policies, manuals, and procedures in place and ensure continued compliance while employed.</li>
<li>Perform other duties as assigned by the line manager or supervisor, including occasional drafting work in support of project management consultancy activities.</li>
</ul>
<h4>Qualifications</h4>
<ul>
<li>Diploma in civil engineering or relevant field.</li>
<li>More than 7 years of experience in CAD drafting and BIM modelling.</li>
<li>Preferably experience in infrastructure projects.</li>
<li>Must have experience with ISO 19650.</li>
<li>Proficient with Civil 3D, Autodesk Infraworks, and AutoCAD.</li>
<li>Good communication skills with the ability to compose and explain complex issues concisely to different audiences.</li>
<li>Ability to work under pressure.</li>
<li>Excellent team working skills, motivated and productive attitude.</li>
</ul>
<h4>About the Company</h4>
<p>The company has more than 4,300 professionals in over 100 offices worldwide, providing program management, project management, construction management, project management oversight, advisory, facilities management, and other consulting services to clients in a variety of market sectors. It is ranked as one of the largest program management firms in the world.</p>
<p>The company is exclusively a program, project, and construction management provider, focusing on protecting client interests. Free of any potential conflicts, the entire business is geared towards helping clients achieve their desired outcomes. The company is dedicated to exceeding expectations throughout the entire construction project lifecycle and adapts to the needs of each assignment to develop tailored approaches and solutions to meet those needs.</p>
<p>The company is part of a global infrastructure solutions group of companies.</p>
<p>It is an equal opportunity employer and supports veterans and disabled individuals.</p>
<p><strong>Note:</strong> This job description is intended to provide an indication of the nature and levels of work, knowledge, skills, abilities, and other essential functions to be carried out as part of fulfilling the role. Various other duties may be required.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><span>The American University in the Emirates is searching for an excellent Call Center Operator who will address and resolve inquiries, complaints, and concerns, ensuring high levels of satisfaction while maintaining the university’s reputation for excellent service. The role involves actively listening to students, empathizing with their challenges, and providing timely solutions.</span></p><br>
<p><strong><span>Salary Range: </span></strong><span>AED 4,500 to 6,000 (subject to experience) with additional benefits</span></p><br>
<p><strong><span>Qualifications & Experience</span></strong></p><br>
<ul>
<li><span>Bachelor’s degree in any field from an accredited university</span></li>
<li><span>1-3 years of experience in customer service or a related field</span></li>
<li><span>Call center training or experience is preferred</span></li>
<li><strong><u><span>Must be bilingual (speaks English and Arabic fluently)</span></u></strong></li>
</ul>
<p><strong><span>Skills / Training / Knowledge</span></strong></p><br>
<ul>
<li><span>Very high degree of independence, responsibility, and judgment</span></li>
<li><span>Maintains a professional image and relationships with faculty/students and all stakeholders</span></li>
<li><span>Must maintain confidentiality</span></li>
<li><span>Effectively resolves daily matters independently</span></li>
<li><span>Strong customer service orientation</span></li>
<li><span>Excellent verbal and written communication skills in both English and Arabic</span></li>
<li><span>Effective time management skills</span></li>
<li><span>Ability to handle multiple tasks and prioritize effectively</span></li>
</ul>
<p><strong><span>Job Description</span></strong></p><br>
<ol>
<li><span>Respond to inquiries and concerns promptly and professionally, ensuring each interaction is positive and solution-focused.</span></li>
<li><span>Investigate, research, and resolve issues through the computer systems, ensuring accurate and efficient solutions.</span></li>
<li><span>Appropriately transfer calls to relevant departments or staff when necessary, ensuring a seamless experience.</span></li>
<li><span>Ensure that unresolved issues are followed up in a timely manner until fully resolved, keeping callers informed throughout the process.</span></li>
<li><span>Maintain detailed and accurate records of interactions, including call logs, reports, and resolutions.</span></li>
<li><span>Recognize recurring issues and provide insights to supervisors on potential improvements or common concerns.</span></li>
<li><span>Perform any other tasks as assigned by the supervisor to support the smooth operation of the call center and university initiatives.</span></li>
</ol>
<p><strong><span>About American University in the Emirates (AUE):</span></strong></p><br>
<p><span>The American University in the Emirates (AUE) invites applications from well-qualified candidates for a range of faculty and administrative positions. AUE is located in Dubai Intl. Academic City.</span></p><br>
<p><span>AUE is not just a place of learning but a hub of innovation and growth, where your expertise and aspirations find a welcoming environment.</span></p><br> <p><strong><span>At AUE, we believe Nothing is Impossible is the Pathway to Success</span></strong></p><br>
<p><span>AUE comprises seven dynamic colleges: College of Law, College of Education, College of Design, College of Business Administration, College of Health Science, College of Media and Mass Communication, College of Computer Information Technology and College of Security and Strategic Studies. Each college boasts unique strengths and prestigious accreditations, reflecting our commitment to providing a world-class education.</span></p><br>
<p><span>The American University in the Emirates is accredited by <strong>SACSCOC</strong> (the Southern Association of Colleges and Schools Commission on Colleges) to award baccalaureate and master’s degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levels</span></p><br>
<p><span>The American University in the Emirates is officially licensed to operate as a higher education institution and all its programs are accredited by CAA (the Commission for Academic Accreditation), Ministry of Education, United Arab Emirates.</span></p><br>
<p><span>The <strong>College of Business Administration</strong> is a proud member of <strong>AACSB</strong> (The Association to Advance Collegiate Schools of Business), and its degree programs (Bachelor of Business Administration, Master of Business Administration, Master of Sport Management) are accredited by <strong>AACSB</strong>) as of 2022.</span></p><br>
<p><span>The Bachelor of Computer Science in the College of <strong>Computer Information Technology</strong> is accredited by the Computing Accreditation Commission of <strong>ABET</strong>.</span></p><br>
<p><strong><span>NASAD</span></strong><span> (The National Association of Schools of Art and Design) has granted the Bachelor of Science in Fashion Design, Bachelor of Science in Graphic Design, Bachelor of Science in Interior Design, and Bachelor of Science in Animation in the <strong>College of Design</strong>, the designation of Substantial Equivalency with accredited programs in the United States.</span></p><br>
<br> </div>
We are hiring successful candidate for the role of Group General Manager (Oil & Gas) Industries (API Machine Shop Products & ASME Fabrication Unit) in reputed (Oil&Gas) drilling equipment’s manufacturing Industries. Planning & Operations of the local business unit in UAE. Reporting to the Chairman, the Group GM will manage, direct operation, leads the organization and provide boost to all functions within the UAE office. These include planning, development objectives, developing organizational policies, integrate functions and operations between departments, and establish responsibilities and procedures to achieve the organizations’ strategic objectives.<br>Responsibilities Drive business opportunities throughout GCC / Middle East, with the aim of expanding to new markets or capture additional market share.· Structure of the Profit and Loss Statements.· Statement of profit and loss is portrayed over a period of time, typically a month, quarter, or fiscal year.· Revenue· Manufacturing Material , manage sales department.· General & Administrative (SG&A) operations.· Marketing and Advertising Strategies / Business Planning· Technology/Research & Development· Prepare and present Annual Operating Sales Plan to Senior Management.· Make Professional Policy & Procedures· Set KPI Targets for all Departments.· Chair Weekly/Monthly /Annual Management Review Meetings.· Possesses extensive experience in O&G / Petrochemical industry with working knowledge of relevant international codes and standards such as:- API Specification Q1- API Monogram – API -6A - API Monogram – API -16A - API Monogram – API – 16C - API Monogram – API -5CT- API Monogram – API – 7 – 1- ISO Quality Management System (QMS) 9001 : 2015- ISO Environmental Management System (EMS) 14001 : 2015- ISO Occupational Health and Safety Management System (OHSMS) 45001:2018- ASME (PP) Boiler and Pressure Vessel Code – Fabrication & Assembly of pressure piping- ASME (PP) Boiler and Pressure Vessel Code – Manufacturing & Assembly of power boiler- ASME (PP) Boiler and Pressure Vessel Code – Manufacturer of Pressure Vessels- Hilong – Certification of Qualification – HLDS / HLIDS / HLMT/ HLST & HLIST- Certificate of Qualification DPM-DS Connections DPM- ST Connections· Maintain customer relationships in cooperation with the Business Areas for Multiple Industrial Development programs in the UAE and serves as the in-country Industrial Development team leader.· Work with Industrial Development teams in supporting the development of strategic industrial development proposals to meet cross-corporate needs.· Provide recommendations to strategically enhance the corporation’s international growth objectives· Provide liaison for Business Areas with all industrial partners, Offset Authority, UAE industries/businesses and various business councils.· Establish and maintain key relationships among key business, military and academic leaders and senior country officials.· The ability to make an impact and shape your career with a company that is passionate about growth.· The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best What You Will Do:· Understanding of market context (Trends, Competitive dynamics, Customer needs, Innovation)· Value driver analysis (Industry economics, Client/Customer segment )· Create Value Proposition (create offering, define value documentation)· Prioritization of targets (Segmenting, targeting and positioning, Sales strategies and support, Key Account definition)· Develop short and long-term strategies and plans for demand generation, on-going market research, customer needs assessment, sales and inventory forecasting, and customer and sales history analysis.· Execute marketing strategies, programs, and pricing strategies which will meet profit objectives for the business unit.· Presence to engage senior leadership and key decision-makers in UAE; demonstrated ability to build and maintain relationships with senior leadership and key decision-makers in UAE; demonstrated ability to share information and to coordinate with Corporate and Business Areas.· Act with prior consultation, coordination, and communication among Business Area Industrial Development leadership to further business industrial strategies/objectives and enable most favorable policy/regulatory environment and most efficient discharge of industrial obligations; ensures complete coordination with Business Areas prior to in-country engagements/messaging.· Present proposed corporate and business area industrial initiatives/projects to country senior leadership and key decision-makers and obtain buy-in.· Conducts business in strict compliance with all corporate and company command media and within applicable state, federal, and international laws and regulations.· Chosen candidate will be required to live in Dubai, UAE. Required skills, qualifications and experience· Highly experienced in the field of Industrial or business development· International business experience with knowledge of international cultures and customs; prior experience living in UAE is strongly preferred· In depth understanding of UAE industrial development programs/policies, including familiarity with required supporting activities such as sight surveys, contractors’ oversight, agreement negotiations and post-performance reporting.· Well versed in industrial development/offsets and countertrade arrangements. Specifically, within the UAE and Middle East region.· Demonstrate excellent customer relations skills.· Excellent verbal, written communication, presentation, and interpersonal skills necessary to clearly communicate with multiple levels of business, government, and leadership.· Team Player – demonstrate ability and effectiveness at organizing and motivating a diverse set of individuals in pursuit of common objectives· Ability to understand and interpret international customers' needs and requirements and communicate them back to Business Areas.· A willingness to travel worldwide without restriction.· Must be able to operate and thrive in a fast-paced international environment.· Must be self-motivated and able to operate with minimal guidance and succeed in a highly competitive arena. Desired skills, qualifications and experience· In depth operational and strategic experience with LMC products and programs and services.· Demonstrated ability to act with diplomacy and discretion with customers, colleagues, and superiors· Demonstrated capture and execution expertise.· Advanced degree in finance, business or a technical discipline.· Strong financial background including evaluation of financial reports, business plans, and economics; through combination of education and related job experience<br>Qualifications:<br>· A Degree of Mechanical Engineering· Must have demonstrated history and success in Oil and Gas industry.· Must be a hands-on leader, capable of harmonizing a growing business· Experience in managing UAE-based operation is required· Our client is one of the leading multinational oilfield services companies that specializes in design, manufacturing and supply of products for Onshore / offshore and drilling markets.· A minimum of 10 years of relevant bottom-line business operations management experience in the Oil and Gas industry.· Experience in managing UAE-based operation is required· constants pressure whilst maintaining the required quality standards.· Must have proven and verifiable track records as a professional engineer and business person within the Oil and Gas industry.· Demonstrates ability to engage with all levels of the organization, and foster cohesiveness and integration amongst different teams.· Must be an outstanding business achiever with excellent business and management skills.· Must be capable of developing and executing successful business strategies.