Machine operator Jobs

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.

**RECRUITING**<br>Job Title – Machine Learning Engineer Salary – N/AContract Length – 6 Month Contract (with view to extend) Location – Abu Dhabi Start Date – ASAP<br>We are working on a brand-new project, which is an Innovation Hub/Ai Lab backed by a large bank in the region.<br>The candidate my client want is essentially a production-focused Machine Learning Engineer with 3–7 years' experience, rather than a pure Data Scientist. The major requirements I would source against are:<br>3–7 years' experience building production-grade, scalable AI/ML systems. Very strong Python + ML engineering capability. Experience with supervised/unsupervised ML, deep learning, NLP, Computer Vision and/or Gen AI/LLMs — you don't necessarily need every area but should have genuine depth. Building end-to-end ML pipelines: ingestion → transformation → training → validation → deployment. Production model serving and APIs using Fast API / Flask. Strong ML system architecture understanding. Experience with real-time and/or batch inference and model performance optimisation. Knowledge of Docker, Kubernetes and CI/CD. Exposure to MLflow and/or Kubeflow for lifecycle management. Deployment onto AWS or Azure. Experience training/deploying traditional ML, neural networks and Agentic AI models. Ideally experience fine-tuning SLMs/LLMs and building more complex AI architectures.<br>Thanks,Ollie

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.

Apply Now<br><br>Search/Jobgether/Machine Learning Engineer<br><br>Machine Learning Engineer<br><br>Jobgether<br><br>United Arab Emirates Posted 29 July 2026<br><br>Apply Now<br><br>Direct link to company career page<br><br>More jobs at Jobgether<br><br>AI Resume Fit Check<br><br>See exactly which skills you match and which are missing before you apply. Free, instant, no spam.<br><br>Check my resume fit<br><br>Free<br><br> No credit card<br><br>Share<br><br>More jobs at Jobgether<br><br>See all →<br><br>Software Engineer – AI-Assisted Full-Stack Developement<br><br>Netherlands<br><br> 5 August 2026<br><br>Software Engineer – AI-Assisted Full-Stack Developement<br><br>Germany<br><br> 5 August 2026<br><br>Software Engineer - Video<br><br>US<br><br> 5 August 2026<br><br>Software Engineer – AI-Assisted Full-Stack Developement<br><br>Romania<br><br> 5 August 2026

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!

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

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.

Job Description<br><br>Who We Are<br><br>Founded in 1978, Al Marwan Group is a diversified organization serving the construction, heavy machinery, Oil & Gas, real estate, developments and Hospitality sectors across the GCC. The Group operates through multiple business units and subsidiaries, delivering integrated solutions supported by strong operational expertise and a well-established regional presence.<br><br>Job Summary<br><br>The Data Entry Operator is responsible for maintaining the integrity and accuracy of company data and records. The position supports day-to-day operations by ensuring timely and accurate data entry, document management, and administrative support.<br><br>Key Responsibilities<br><br>Data Management: Enter and maintain company records, transactions, customer information, and other operational data in the relevant systems. Data Tracking: Update and maintain records, monitor data accuracy, and ensure information is current and readily available. Documentation: Verify the accuracy of documents, process updates and amendments, and assist in preparing reports and other administrative records. Administrative Support: Organize and archive documents, ensure data confidentiality, and perform other duties as assigned by the Department Manager.<br><br>Requirements<br><br>UAE National (Valid UAE Passport and Family Book are mandatory). Minimum High School Certificate or equivalent. Fluent in Arabic and English (spoken and written). Good computer skills, including Microsoft Office applications (especially Excel). Ability to maintain confidentiality and handle information accurately.<br><br>Work Environment<br><br>Location: Head Office, Sharjah. Work Mode: On-Site only.<br><br>Job Details<br><br>Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Sharjah Company Website: https://almarwangroup.com/ Job Function: Administrative Support Company Industry/<br><br>Sector: Other<br><br>What We Offer<br><br>About The Company<br><br>Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.<br><br>Report<br><br>Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.

<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 &amp; Excel Knowledge</p><p>Basic Computer Skills</p><p>Data Accuracy and Attention to Detail</p><p>Document Processing Skills</p></div>

<ul><li><p>Designs and develops scalable machine learning models and AI-driven solutions to address complex business challenges and enhance decision-making processes</p></li></ul><p>KEY RESPONSIBILITIES</p><ul><li><p>Work with large and complex data sets to solve challenging business problems</p></li><li><p>Efficient training and deployment of standard ML, NN, and Agentic models.</p></li><li><p>Develop, train, and optimize machine learning models using state-of-the-art algorithms and frameworks</p></li><li><p>Build production grade end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deployment</p></li><li><p>Automate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps tools</p></li><li><p>Collaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutions</p></li><li><p>Finetune SLMs/LLMs and build complex AI architectures</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>(3-7) years of experience in building production grade, scalable AI systems.</p></li><li><p>Expert in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).</p></li><li><p>Strong ML system architecture skills</p></li><li><p>Understanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.</p></li><li><p>General Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps)</p></li><li><p>Comfortable with deploying models on AWS or Azure</p></li><li><p>Minimum Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required</p></li><li><p>Preferred Education qualifications: Master or PhD in Computer Science or a related field.</p></li></ul><p>Skills</p><p>Machine Learning</p><p>AI-driven solutions</p><p>ML system architecture</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Use Data Science to Predict, Improve, and Transform Healthcare Outcomes</b></p><p><br></p><p>Al-Futtaim Health is seeking an <b>experienced Healthcare Data Scientist – Machine Learning &amp; Clinical Analytics</b> to join our HealthHub Corporate Office in Dubai Festival City.</p><p><br></p><p>This is a specialist data science role focused on predictive modelling, machine learning, clinical analytics, healthcare data integration, and AI-driven decision support across our growing healthcare network.</p><p><br></p><p><b>Important: This is not a Data Analyst, BI Analyst, Reporting Analyst, Power BI Developer, or dashboard-only role.</b></p><p><br></p><p>We are looking for a hands-on Data Scientist who has personally built, trained, tested, and evaluated predictive models using real healthcare datasets such as electronic health records, claims, pharmacy data, laboratory data, clinical activity data, or healthcare operational data.</p><p><br></p><p>The purpose of this role is to move beyond reporting what has already happened and help HealthHub predict what may happen next, optimise patient pathways, improve clinical decision-making, and support better healthcare outcomes.</p><p><br></p><p><b>About the Role</b></p><p><br></p><p>As a Healthcare Data Scientist, you will design, develop, and evaluate machine learning models and advanced analytics solutions that support clinical, operational, financial, and strategic decision-making.</p><p><br></p><p>You will work closely with clinical leadership, medical directors, operations teams, finance, IT, health informatics, and compliance stakeholders to transform complex healthcare data into predictive insights and practical healthcare solutions.</p><p><br></p><p>The role requires a strong combination of healthcare domain knowledge, statistical modelling, machine learning, Python or R, advanced SQL, healthcare data standards, and responsible healthcare AI practices.</p><p><br></p><p><b>Key Responsibilities</b></p><p><br></p><p>Build, train, test, and evaluate predictive machine learning models for healthcare use cases.</p><p>Develop models that support clinical risk prediction, patient outcomes, utilisation, readmission risk, claims analytics, revenue cycle optimisation, and care pathway improvement.</p><p>Analyse and model healthcare datasets including EHR, clinical, claims, pharmacy, laboratory, patient activity, and healthcare operational data.</p><p>Apply statistical and machine learning techniques such as logistic regression, survival analysis, classification, clustering, random forest, XGBoost, and other predictive modelling methods.</p><p>Prepare analytical datasets using advanced SQL, including cohort building, joins, window functions, longitudinal patient data, feature engineering, and data quality checks.</p><p>Work with healthcare data standards and coding systems such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, and FHIR.</p><p>Support clinical decision support, predictive analytics, healthcare AI, and data governance initiatives.</p><p>Collaborate with clinicians and operational stakeholders to translate data science outputs into practical healthcare workflows.</p><p>Evaluate model performance using appropriate metrics such as AUC, precision, recall, F1 score, sensitivity, specificity, calibration, and explainability methods.</p><p>Ensure healthcare data privacy, ethical AI use, and compliance with relevant healthcare data governance requirements.</p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Essential Requirements</b></p><p><br></p><p>Currently residing in the UAE.</p><p>Bachelor’s Degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Engineering, Health Informatics, or a related quantitative discipline.</p><p>Minimum 2–5 years’ experience in data science.</p><p>Minimum 2 years’ experience working with healthcare datasets, clinical analytics, health informatics, healthcare AI, health insurance data, or health-tech data.</p><p>Proven hands-on experience building predictive models or machine learning solutions.</p><p>Advanced Python or R experience for data science, machine learning, statistical modelling, feature engineering, and model evaluation.</p><p>Advanced SQL experience for complex extraction, analytical dataset creation, cohort building, and healthcare data preparation.</p><p>Experience working with healthcare datasets such as EHR, clinical, claims, pharmacy, laboratory, patient activity, or healthcare operational data.</p><p>Understanding of healthcare coding or interoperability standards such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, or FHIR.</p><p>Ability to communicate technical outputs clearly to clinical, operational, finance, and leadership stakeholders.</p><p><br></p><p><b>Highly Desirable</b></p><p><br></p><p>Master’s Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field.</p><p>Experience with UAE healthcare data environments, DHA regulations, NABIDH, Malaffi, or healthcare data residency requirements.</p><p>Experience working within a hospital, clinic network, healthcare group, health insurance provider, health-tech company, clinical analytics team, or health informatics environment.</p><p>Experience with clinical decision support systems.</p><p>Experience with SHAP, LIME, or other model explainability methods.</p><p>Experience with Power BI, Tableau, Plotly, or Dash to communicate data science outputs to leadership.</p><p><br></p><p><b>Who This Role Is Not For</b></p><p><br></p><p>This role is unlikely to be suitable if your experience is primarily focused on:</p><p><br></p><p>Power BI dashboards only.</p><p>KPI reporting only.</p><p>Excel reporting.</p><p>SQL extracts without modelling.</p><p>Descriptive analytics only.</p><p>Claims audit reporting only.</p><p>General business intelligence without predictive modelling.</p><p>Data analysis without machine learning or statistical model development.</p><p><br></p><p><b>Candidates must be able to demonstrate hands-on experience building data science or machine learning models using healthcare datasets.</b></p><p><br></p><p><b>Why Join Al-Futtaim Health?</b></p><p><br></p><p>Work from HealthHub Corporate Office in Dubai Festival City.</p><p>Opportunity to shape healthcare AI and predictive analytics across a growing healthcare network.</p><p>Work with clinical, operational, finance, and leadership stakeholders.</p><p>Exposure to healthcare datasets and real-world clinical decision-making.</p><p>Opportunity to support patient outcomes, operational efficiency, and healthcare innovation.</p><p>Competitive salary and benefits package.</p><p>Career development within one of the UAE’s leading healthcare organisations.</p></div>

<p>JOB Description & the Role: We are seeking a highly creative and technically proficient Senior Architectural /Interiors CAD operator., Fit-Out Interior Detailer., Interiors & Exteriors 3D Visualizer/Animator., to join our dynamic team in the UAE. The ideal candidate possesses a deep understanding of UAE-specific fit-out regulations, excels in producing accurate architectural detailing, and can bring concepts to life through photorealistic 3D modeling and expert Photoshop post- production</p><p><strong>Desired Candidate Profile</strong></p><p><strong><u>Key Responsibilities:</u></strong></p><p>3D Modelling., Visualization& Animator: Create high-quality 3D models and renders (using 3ds</p><p>Max, SketchUp, or V-Ray) to present design concepts to clients.</p><p><br>Photoshop Editing: Utilize Adobe Photoshop for high-impact mood boards, design presentation layouts, and advanced texture/render post-production editing.</p><br><p>Fit-Out Detailing: Produce precise, error-free architectural fit-out and joinery shop</p><p>drawings, including elevations, sections, and ceiling details for construction.</p><br><p>Space Planning: Develop innovative space layouts and ensure all designs comply with UAE local authority regulations (e.g., Dubai Municipality, Civil Defense).</p><p>Material Selection: Prepare detailed material specifications, BOQ (Bill of Quantities)</p><p>support, and FF&E (Furniture, Fixtures, and Equipment) schedules.</p><p><br>Project Coordination: Collaborate with contractors, MEP engineers, and suppliers to</p><p>resolve on-site design issues and ensure seamless project execution.</p><br><p><strong><u>Qualifications & Requirements:</u></strong></p><br><p><strong><u>Experience:</u></strong> Minimum of 3–5 years of dedicated interior fit-out experience within the UAE (candidates with a proven portfolio of completed commercial, F&B, or high-end</p><p>residential projects in the region are preferred).</p><br><p><strong><u>Software Proficiency</u></strong>:</p><p>Advanced: AutoCAD, SketchUp, 3Ds Max, or V-Ray/Corona.</p><p>Essential: Adobe Creative Suite (Photoshop, Illustrator, InDesign).</p><p>Advantage: Knowledge of Revit or BIM.</p><p>Key Responsibilities:</p><p>3D Modelling., Visualization& Animator: Create high-quality 3D models and renders (using 3ds</p><p>Max, SketchUp, or V-Ray) to present design concepts to clients.</p><br><ul><li><p><strong><u>Technical Skills:</u></strong> Excellence in architectural detailing, joinery detailing, and</p></li></ul><p>understanding of UAE building codes and site implementation.</p><p><strong>AI Interior Architectural experience : Experience working with AI tools like (RoomGPT/mnml.AI/Spacely AI/Planner sd/Luma AI/Gamma)</strong></p><p><br></p><p>Soft Skills: Strong communication skills in English; Arabic is a strong asset. Ability to</p><p>manage client presentations and meet strict deadlines</p><br><ul><li><p>Licensure: Valid UAE Driving License is a plus.</p><p><br></p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Machine Learning Engineer – Classical &amp; Adaptive ML </b><br></p><br><p><b>Discover the Opportunity</b></p><br><p>We are hiring a hands-on Machine Learning Engineer to own the classical ML powering Forge’s detection and triage layer. Forge protects critical Operational Technology (OT) and industrial control environments.</p><br><p>In this individual contributor role, you will build and tune models that score and prioritize security alerts, classify OT assets, and separate real threats from noise—all running directly on local, air-gapped appliances.</p><br><p>Because every deployment operates in a unique, isolated OT environment without access to cloud MLOps services, our models can't be static artifacts shipped once. You will build <b>adaptive machine learning systems </b>that learn on the edge, evolving over time based on local traffic patterns and analyst feedback.</p><br><p><b>Discover the Role</b></p><br><ul><li><p><b>Alert Triage &amp; Scoring: </b>Build and tune XGBoost and gradient boosting models to rank security alerts, drastically cutting false positives and surfacing genuine incidents for analysts.</p><br></li><li><p><b>Adaptive &amp; Online Learning: </b>Design models that adapt to individual site environments over time using incremental learning, concept drift detection, and human-in-the-loop feedback.</p><br></li><li><p><b>Asset &amp; Device Classification: </b>Expand our Equipment Type Inference capabilities using tree ensembles and clustering to profile industrial devices from raw network fingerprint data.</p><br></li><li><p><b>Custom Anomaly Detection: </b>Implement Isolation Forests, one-class methods, and autoencoders alongside our OpenSearch layer to catch threats that static rules miss.</p><br></li><li><p><b>Risk Scoring: </b>Refine features and models to ensure Forge’s risk scoring accurately reflects real operational exposure.</p><br></li><li><p><b>Production Pipelines: </b>Build reproducible, version-controlled feature engineering, training, and evaluation pipelines that move beyond standard notebooks.</p><br></li><li><p><b>Self-Hosted MLOps: </b>Stand up and run a self-hosted MLflow setup for experiment tracking, model registry, and promotion of vetted models to production.</p><br></li><li><p><b>On-Device Model Lifecycle: </b>Package models to run seamlessly within the appliance Docker stack, complete with evaluation gates, drift monitoring, and controlled on-device retraining.</p><br></li></ul><p><b>Discover the Requirements</b></p><br><ul><li><p><b>4+ years </b>of hands-on experience building and shipping machine learning systems in production.</p><br></li><li><p><b>Gradient Boosting Expertise: </b>Strong Python fluency with deep experience in XGBoost, LightGBM, or CatBoost.</p><br></li><li><p><b>Classical ML &amp; Anomaly Toolkit: </b>Solid grounding in scikit-learn, tree ensembles, clustering, anomaly detection (Isolation Forests, autoencoders), and selective deep learning.</p><br></li><li><p><b>Adaptive ML Experience: </b>Practical experience with online/incremental learning, concept drift, and active learning/feedback loops.</p><br></li><li><p><b>ML Pipelines &amp; MLOps: </b>Proficiency with pipeline orchestrators (Airflow, Prefect, Dagster, or Kubeflow), data/model versioning (DVC), and model tracking (MLflow).</p><br></li><li><p><b>Imbalanced Data Expertise: </b>Deep familiarity with rare-event metrics (Precision, Recall, PR curves, calibration) rather than raw accuracy.</p><br></li><li><p><b>Telemetry Data: </b>Comfort working with large volumes of structured logs and network telemetry.</p><br></li></ul><p>​</p><br><p><b>Discover the Desired</b></p><br><ul><li><p>Exposure to OT, ICS, or SCADA security, industrial protocols, or the Purdue model.</p><br></li><li><p>Experience with OpenSearch or Elasticsearch machine learning capabilities.</p><br></li><li><p>Background deploying models in constrained or offline environments (ONNX export, quantization, air-gapped delivery).</p><br></li><li><p>Experience operating 100% self-hosted MLOps infrastructure without managed cloud services.</p><br></li><li><p>Experience with security telemetry, SIEM, or SOC datasets.</p><br></li><li><p>Familiarity with PyTorch for deep learning crossover work.</p><br></li></ul><br> </div>

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

Role: Machine Learning (AI) Engineer (Hybrid) Location: Remote Job Type: Full-Time Payout: $200K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking an AI/ML Engineer to develop and deploy machine learning models that power core product features. The role involves collaborating with cross-functional teams to design scalable AI solutions that enhance user experience and operational efficiency.<br>Key Responsibilities:• Design, train, and optimize machine learning models using Python, Tensor Flow, and PyTorch frameworks.• Develop and maintain data pipelines to ensure high-quality input for model training and evaluation.• Implement MLOps practices to streamline model deployment, monitoring, and version control.• Collaborate with data scientists and software engineers to integrate AI capabilities into production systems.• Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.<br>Required Skills & Qualifications:• Proficiency in Python, Tensor Flow, and PyTorch for model development and training.• Experience with MLOps tools such as MLflow, Kubeflow, or Sage Maker for deployment and monitoring.• Strong background in data preprocessing, feature engineering, and model evaluation metrics.• Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.• Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the advancement of AI-driven product solutions. The position involves solving complex technical challenges in a collaborative environment with access to cutting-edge tools and datasets.<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 Analyst (Remote) Location: Remote Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a MLE Bench – Data Analyst to work on a part-time basis. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems. The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.<br>Key Responsibilities:• Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines.• Define, compute, and validate metrics used to evaluate model performance and behavior.• Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.• Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows.• Validate data quality, consistency, and correctness across datasets and experiments.<br>Required Skills & Qualifications:• Minimum 3+ years of experience as a data analyst or analytics-focused engineer.• Strong proficiency in Python for data analysis.• Solid experience with SQL and relational datasets.• Experience analyzing ML outputs and evaluation metrics.• Strong understanding of statistics and analytical reasoning.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to benchmark-driven evaluation projects focused on real-world machine learning systems. The position involves collaboration with ML engineers and researchers to design challenging evaluation scenarios.<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!

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.