Model Jobs in UAE

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced fp&a managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for fp&a managers with 5+ years in FP&A or corporate finance roles building forecasts and financial models to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: rolling forecast models, variance bridge decks, driver-based operating models, board-ready p&l decks, monthly flux commentary memos, and scenario sensitivity models.<br><br>Compensation: $100/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 5+ years in FP&A or corporate finance building rolling forecasts, variance bridges, and driver-based operating models for a growing company Track record of producing board-ready p&l decks and monthly flux commentary memos that finance leadership can present without rework Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>5+ years in FP&A or corporate finance building rolling forecasts, variance bridges, and driver-based operating models for a growing company Track record of producing board-ready p&l decks and monthly flux commentary memos that finance leadership can present without rework Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

Nair Systems is currently looking for Manager - Model Implementation, Data Engineering and IFRS9 Risk Data for our UAE operations <br>Role Purpose:This role demands a highly technical, data-driven professional with strong expertise in ETL pipeline development, credit risk data management, and IFRS9 model support. The incumbent will lead the design, implementation, and governance of end-to-end risk data pipelines, ensuring alignment with regulatory and modelling requirements.<br>As part of the ERM – Risk Function, the Risk Data Management team plays a critical role in meeting CBUAE, IFRS9, and Basel II/III requirements. The role is responsible for ensuring availability, accuracy, and traceability of data used in PD, LGD, and EAD models, including default tagging, post-default events, recovery tracking, and exposure computation.<br>Core Domain Expertise:IFRS9, Basel II/III, PD/LGD/EAD modelling, credit risk data lifecycle Should you be interested please send resume at mini.surendran@nairsystems.com

Role: Member of Technical Staff - AI Engineering (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $300K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff (AI Engineering) to work on a full-time basis. The role focuses on designing, developing, and deploying AI/ML models at scale while optimizing performance for large-scale inference systems. Responsibilities include architecting solutions for high-performance computing environments and collaborating with cross-functional teams to integrate AI capabilities into production systems.<br>Key Responsibilities:• Design and implement scalable AI/ML systems, including model training, inference optimization, and deployment pipelines.• Develop and maintain high-performance computing infrastructure for AI workloads, ensuring efficient resource utilization.• Collaborate with software engineers to integrate AI models into production applications and services.• Optimize AI model performance through techniques such as quantization, pruning, and hardware acceleration.• Research and implement cutting-edge AI/ML techniques to improve system efficiency and accuracy.<br>Required Skills & Qualifications:• Proficiency in Python and experience with AI/ML frameworks such as Tensor Flow, PyTorch, or JAX.• Experience with distributed computing frameworks (e.g., Apache Spark, Dask) for large-scale data processing.• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes).• Familiarity with AI model deployment tools (e.g., ONNX, Tensor RT) and optimization techniques for inference.• Strong understanding of algorithms, data structures, and software engineering best practices.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of next-generation AI systems. The position involves solving complex technical challenges while collaborating with a diverse team of experts in AI, software engineering, and infrastructure.<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!

We are looking for a Merchandiser cum Planner to manage marketplace operations and inventory.<br>Key Responsibilities:<br> • Plan product assortment across retail and online platforms • Analyze sales, stock, and margin performance • Track trends and identify growth opportunities • Ensure optimal inventory levels and stock movement • Support forecasting and replenishment • Prepare reports using Excel • Work with SAP for data management • Coordinate with buying, sales, and supply chain teams • Plan and execute promotions • Optimize product listings for better visibility<br>What We’re Looking For:<br> • Experience in merchandising, planning, or fashion distribution • Understanding of retail and e-commerce operations • Strong Excel skills • Analytical mindset and attention to detail • Experience with marketplaces (Amazon, Noon, Shopify, etc.)

We are looking for a Merchandiser cum Planner to manage marketplace operations and inventory.<br>Key Responsibilities:<br> • Plan product assortment across retail and online platforms • Analyze sales, stock, and margin performance • Track trends and identify growth opportunities • Ensure optimal inventory levels and stock movement • Support forecasting and replenishment • Prepare reports using Excel • Work with SAP for data management • Coordinate with buying, sales, and supply chain teams • Plan and execute promotions • Optimize product listings for better visibility<br>What We’re Looking For:<br> • Experience in merchandising, planning, or fashion distribution • Understanding of retail and e-commerce operations • Strong Excel skills • Analytical mindset and attention to detail • Experience with marketplaces (Amazon, Noon, Shopify, etc.)

Our client is a leading government entity dedicated to driving innovation and supporting strategic national initiatives. The organization partners with various government stakeholders to develop sustainable solutions, strengthen local capabilities, and contribute to the country's long-term economic and technological development. Our client is a leading government entity driving innovation and digital transformation across strategic national initiatives. They are looking for an experienced AI Engineer / AI Manager to design, build, and deploy enterprise AI solutions that enable data-driven decision-making and improve business operations. This is an exciting opportunity to work on cutting-edge AI initiatives in a collaborative, high-impact environment.<br><br>Key Responsibilities<br><br>Design, develop, deploy, and maintain AI and machine learning solutions. Build and optimize ML models for production environments. Develop and maintain scalable data pipelines and feature engineering workflows. Monitor model performance, accuracy, and drift while continuously improving solutions. Collaborate with data scientists, analysts, engineers, and business stakeholders to deliver AI-driven products. Integrate AI models into enterprise applications and business processes. Ensure AI solutions comply with governance, security, and data privacy standards. Evaluate emerging AI technologies and contribute to AI platform and architecture decisions. Support the full AI lifecycle, from development through deployment and ongoing optimization.<br><br>Key Requirements<br><br>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.3-10 years of experience in AI, Machine Learning, or Software Engineering. Strong programming skills in Python. Hands-on experience with Tensor Flow, PyTorch, or similar AI frameworks. Experience deploying machine learning models into production environments. Knowledge of MLOps, model deployment, and monitoring. Experience with cloud-based AI platforms or enterprise AI infrastructure. Understanding of feature engineering, data pipelines, and software engineering best practices. Knowledge of Responsible AI, AI governance, model explainability, and AI security principles is highly desirable. Professional certifications in AI, Machine Learning, Cloud, or MLOps are a plus. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. A collaborative mindset with the ability to work across cross-functional teams. Passion for innovation and continuous learning. Ability to build scalable, reliable, and secure AI solutions.<br><br>Why Apply?<br><br>Work on impactful AI transformation initiatives. Collaborate with highly skilled technical teams. Exposure to enterprise-scale AI platforms and emerging technologies. Excellent opportunities for professional development and career growth. Competitive salary and benefits package.

Our client is a leading government entity dedicated to driving innovation and supporting strategic national initiatives. The organization partners with various government stakeholders to develop sustainable solutions, strengthen local capabilities, and contribute to the country's long-term economic and technological development. Our client is a leading government entity driving innovation and digital transformation across strategic national initiatives. They are looking for an experienced AI Engineer / AI Manager to design, build, and deploy enterprise AI solutions that enable data-driven decision-making and improve business operations. This is an exciting opportunity to work on cutting-edge AI initiatives in a collaborative, high-impact environment.<br><br>Key Responsibilities<br><br>Design, develop, deploy, and maintain AI and machine learning solutions. Build and optimize ML models for production environments. Develop and maintain scalable data pipelines and feature engineering workflows. Monitor model performance, accuracy, and drift while continuously improving solutions. Collaborate with data scientists, analysts, engineers, and business stakeholders to deliver AI-driven products. Integrate AI models into enterprise applications and business processes. Ensure AI solutions comply with governance, security, and data privacy standards. Evaluate emerging AI technologies and contribute to AI platform and architecture decisions. Support the full AI lifecycle, from development through deployment and ongoing optimization.<br><br>Key Requirements<br><br>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.3-10 years of experience in AI, Machine Learning, or Software Engineering. Strong programming skills in Python. Hands-on experience with Tensor Flow, PyTorch, or similar AI frameworks. Experience deploying machine learning models into production environments. Knowledge of MLOps, model deployment, and monitoring. Experience with cloud-based AI platforms or enterprise AI infrastructure. Understanding of feature engineering, data pipelines, and software engineering best practices. Knowledge of Responsible AI, AI governance, model explainability, and AI security principles is highly desirable. Professional certifications in AI, Machine Learning, Cloud, or MLOps are a plus. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. A collaborative mindset with the ability to work across cross-functional teams. Passion for innovation and continuous learning. Ability to build scalable, reliable, and secure AI solutions.<br><br>Why Apply?<br><br>Work on impactful AI transformation initiatives. Collaborate with highly skilled technical teams. Exposure to enterprise-scale AI platforms and emerging technologies. Excellent opportunities for professional development and career growth. Competitive salary and benefits package.

About The Job<br><br>Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.<br><br>Position: Generalist - English & Telugu<br><br>Type: Contract<br><br>Compensation: $15–$20/hour<br><br>Location: Remote<br><br>Role Responsibilities<br><br>Conduct fact-checking using trusted public sources and external tools. Generate high-quality human evaluation data by identifying response strengths, areas for improvement, and factual inaccuracies. Assess reasoning quality, clarity, tone, and completeness of responses. Ensure model responses align with expected conversational behavior and system guidelines. Work independently and asynchronously to meet deadlines while improving AI model performance.<br><br>Qualifications<br><br>Must-Have<br><br>Bachelor's degree. Native speaker in Telugu. Significant experience using large language models. Excellent writing skills in English. Strong attention to detail. Background or experience in domains requiring structured analytical thinking.<br><br>Preferred<br><br>Prior experience with RLHF, model evaluation, or data annotation work. Experience writing or editing high-quality written content. Experience comparing multiple outputs and making fine-grained qualitative judgments.<br><br>Application Process (Takes 20–30 mins to complete)<br><br>Upload resume AI interview based on your resume Submit form<br><br>Resources & Support<br><br>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com<br><br>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.<br><br>,

About The Job<br><br>Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.<br><br>Position: Music Audio Expert - Malayalam<br><br>Type: Contract<br><br>Compensation: $14/hour<br><br>Location: Remote<br><br>Duration: Up to 6 months<br><br>Commitment: 10+ hours/week<br><br>Role Responsibilities<br><br>Evaluate AI model output in lyrics and voice generation across different music categories. Score the quality of musical training data to enhance model performance. Write music in the specified domain language to improve model outputs. Understand and follow directions in the English language. Work independently with flexible hours to meet project deadlines.<br><br>Qualifications<br><br>Must-Have<br><br>3+ years of experience as a music producer, audio engineer, or sound mixer. College degree in music, covering performance, theory, and lyrics. Experience writing lyrical music in the specified domain language. Native or near-native proficiency in both Malayalam and English.<br><br>Start Date<br><br>Immediate<br><br>Application Process (Takes 20–30 mins to complete)<br><br>Upload resume and application form. Complete a 25-minute conversational interview on your background, experience, and motivations. Receive next steps and onboarding details within a few days.<br><br>Resources & Support<br><br>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com<br><br>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.<br><br>,

About The Job<br><br>Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.<br><br>Position: Music Audio Expert - Malayalam<br><br>Type: Contract<br><br>Compensation: $14/hour<br><br>Location: Remote<br><br>Duration: Up to 6 months<br><br>Commitment: 10+ hours/week<br><br>Role Responsibilities<br><br>Evaluate AI model output in lyrics and voice generation across different music categories. Score the quality of musical training data to enhance model performance. Write music in the specified domain language to improve model outputs. Understand and follow directions in the English language. Work independently with flexible hours to meet project deadlines.<br><br>Qualifications<br><br>Must-Have<br><br>3+ years of experience as a music producer, audio engineer, or sound mixer. College degree in music, covering performance, theory, and lyrics. Experience writing lyrical music in the specified domain language. Native or near-native proficiency in both Malayalam and English.<br><br>Start Date<br><br>Immediate<br><br>Application Process (Takes 20–30 mins to complete)<br><br>Upload resume and application form. Complete a 25-minute conversational interview on your background, experience, and motivations. Receive next steps and onboarding details within a few days.<br><br>Resources & Support<br><br>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com<br><br>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.<br><br>,

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Summary</b></p><br><p>We are looking for a creative industry professional with advanced digital design skills who is passionate about education and committed to equipping the next generation of fashion designers with the digital competencies required by the contemporary fashion industry.</p><br><p><b>Key Responsibilities</b></p><br><ul><li><p>Deliver engaging practical and theoretical classes in Digital Tools for Fashion Design.</p><br></li><li><p>Teach industry-standard Adobe Creative Suite, with a primary focus on Adobe InDesign, Adobe Photoshop, and Adobe Illustrator.</p><br></li><li><p>Guide students in creating professional portfolios, lookbooks, technical presentations, visual communication materials, and graphic design projects.</p><br></li><li><p>Support students in developing high-quality digital layouts, branding, typography, image editing, and visual storytelling.</p><br></li><li><p>Introduce students to contemporary digital workflows relevant to fashion design and creative industries.</p><br></li><li><p>Provide constructive feedback, mentorship, and assessment in line with programme learning outcomes.</p><br></li><li><p>Collaborate with the Fashion Design Department Programme Leader to maintain high academic standards and deliver an exceptional student learning experience.</p><br></li></ul><p><b>Essential Requirements</b></p><br><ul><li><p>A Master’s degree in Graphic Design, Visual Communication, Fashion Design, Digital Design, Multimedia Design, or a closely related discipline.</p><br></li><li><p>Professional industry experience in graphic design, digital design, fashion communication, or creative visual development.</p><br></li><li><p>Advanced proficiency in Adobe InDesign, Adobe Photoshop, and Adobe Illustrator.</p><br></li><li><p>Strong understanding of portfolio design, editorial layouts, typography, branding, digital image manipulation, and visual communication.</p><br></li><li><p>Previous teaching or mentoring experience in higher education is highly desirable.</p><br></li><li><p>Excellent communication, organisational, and interpersonal skills.</p><br></li><li><p>A professional portfolio demonstrating expertise in digital and graphic design.</p><br></li><li><p>UAE Residency visa required</p><br></li></ul><p><b>Desirable Skills</b></p><br><ul><li><p>Experience with Adobe After Effects, Adobe Premiere Pro, Adobe Lightroom, or other relevant creative software.</p><br></li><li><p>Experience with software such as CLO3D, Blender, Cinema 4D, 3D design, digital fashion, motion graphics, animation, simulation, or immersive technologies would be considered an advantage.</p><br></li><li><p>Knowledge of AI-powered creative tools and emerging digital technologies within the fashion industry.</p><br></li><li><p>Experience working with international fashion, luxury, or creative brands.</p><br></li></ul><p>Interested candidates are invited to submit:</p><br><ul><li><p>Curriculum Vitae (CV)</p><br></li><li><p>Professional Portfolio</p><br></li><li><p>Cover Letter outlining relevant experience</p><br></li><li><p>Teaching Portfolio (if available)</p><br></li></ul> </div>

???? AI Safety Researcher???? Role Description We are looking for a thoughtful, analytical, and research-oriented AI Safety Researcher to help identify, understand, and mitigate risks associated with advanced artificial intelligence systems. ????️????In this role, you will contribute to research focused on making AI systems safer, more reliable, interpretable, robust, and aligned with intended objectives. You will investigate potential failure modes, evaluate model behavior, develop safety methodologies, and collaborate with researchers and technical teams to translate findings into practical improvements. ???????? Key Responsibilities Conduct research on AI safety, alignment, robustness, reliability, interpretability, and responsible AI. Design experiments to evaluate AI model behavior, capabilities, limitations, and potential failure modes. Develop and test methods for identifying, measuring, and mitigating AI-related risks. Analyze model outputs and investigate unexpected, harmful, misleading, or unreliable behaviors. Explore techniques for improving model robustness, controllability, transparency, and reliability. Develop evaluation frameworks, benchmarks, and testing methodologies for AI safety. ????Review relevant academic literature, research findings, and emerging developments in AI safety. Implement research ideas through experiments, prototypes, simulations, or computational studies. Analyze experimental results and communicate findings through clear technical reports and presentations. Collaborate with researchers, engineers, data scientists, and other stakeholders on safety-focused initiatives. ????Identify emerging risks and contribute to proactive approaches for responsible AI development. Support the development of safety guidelines, evaluation processes, and technical best practices. Maintain well-documented research methods, experiments, results, and conclusions. Continuously explore new research directions and contribute innovative ideas to the field. ???????? Qualifications Bachelor’s, Master’s, or PhD-level education in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Cognitive Science, or a related field. Strong understanding of machine learning and modern AI concepts. Solid knowledge of AI safety, responsible AI, model evaluation, robustness, alignment, interpretability, or related research areas. Strong analytical, mathematical, and problem-solving abilities. ????Ability to formulate research questions, design experiments, and evaluate results systematically. Strong programming skills, particularly in Python or similar research-oriented languages. Familiarity with machine learning frameworks, data analysis tools, and scientific computing environments. Ability to critically evaluate technical research papers and emerging AI safety methodologies. Strong understanding of experimental design, statistical reasoning, and data-driven analysis. Excellent technical writing and communication skills. Curiosity, intellectual rigor, and a willingness to investigate complex and uncertain problems. Ability to collaborate effectively in multidisciplinary research environments. ????Strong ethical awareness and commitment to developing safe, reliable, and beneficial AI systems. Creative and independent research mindset with the ability to explore unconventional solutions. Commitment to continuous learning in the rapidly evolving field of artificial intelligence. ????If you are passionate about understanding the risks of advanced AI and developing practical methods to make AI systems safer, more reliable, and more trustworthy, this role offers an exciting opportunity to contribute to meaningful research and responsible AI development. ????

<p>Need a lady Tailor for new fashion boutique in Al karama</p><p><strong>Desired Candidate Profile</strong></p><p>Lady Tailor with 2 to 5 years experience </p>

Role: AI/ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI/ML Engineer to work on a contract basis. The role involves developing and deploying machine learning models to solve complex business problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems.<br>Key Responsibilities:• Design, develop, and optimize machine learning models using Python and relevant frameworks.• Preprocess, clean, and transform large datasets to prepare them for model training.• Deploy and monitor machine learning models in production environments.• Collaborate with software engineers to integrate AI solutions into existing infrastructure.• Conduct performance benchmarking and model validation to ensure accuracy and efficiency.<br>Required Skills & Qualifications:• Proficiency in Python with experience in machine learning libraries such as Tensor Flow or PyTorch.• Experience with data preprocessing, feature engineering, and model evaluation.• Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment and scaling.• Familiarity with MLOps practices, including CI/CD pipelines for machine learning.• Strong problem-solving skills with the ability to translate business requirements into technical solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of scalable AI solutions for enterprise applications. The position provides exposure to cutting-edge technologies and the chance to impact high-impact projects.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: ML Researcher (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contract basis. The role involves advancing machine learning models and algorithms to solve complex problems in a high-impact environment. Responsibilities include designing, implementing, and evaluating novel AI solutions for real-world applications.<br>Key Responsibilities:• Design and develop machine learning models and algorithms to address specific business challenges.• Conduct research to improve existing models and explore new approaches in AI and machine learning.• Collaborate with cross-functional teams to integrate machine learning solutions into production systems.• Analyze large datasets to identify patterns and trends that inform model improvements.• Document research findings and present results to stakeholders in a clear and actionable manner.<br>Required Skills & Qualifications:• Proficiency in Python and machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in applied mathematics, statistics, or a related quantitative field.• Experience with natural language processing, computer vision, or other specialized AI domains.• Ability to design and conduct experiments to evaluate model performance and accuracy.• Familiarity with data preprocessing, feature engineering, and model optimization techniques.• Experience with cloud platforms and distributed computing for scalable ML model training.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. Candidates will have the chance to work on impactful projects with direct influence on the company’s strategic direction.<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: ML Researcher (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contract basis. The role involves advancing machine learning models and algorithms to solve complex problems in a high-impact environment. Responsibilities include designing, implementing, and evaluating novel AI solutions for real-world applications.<br>Key Responsibilities:• Design and develop machine learning models and algorithms to address specific business challenges.• Conduct research to improve existing models and explore new approaches in AI and machine learning.• Collaborate with cross-functional teams to integrate machine learning solutions into production systems.• Analyze large datasets to identify patterns and trends that inform model improvements.• Document research findings and present results to stakeholders in a clear and actionable manner.<br>Required Skills & Qualifications:• Proficiency in Python and machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in applied mathematics, statistics, or a related quantitative field.• Experience with natural language processing, computer vision, or other specialized AI domains.• Ability to design and conduct experiments to evaluate model performance and accuracy.• Familiarity with data preprocessing, feature engineering, and model optimization techniques.• Experience with cloud platforms and distributed computing for scalable ML model training.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. Candidates will have the chance to work on impactful projects with direct influence on the company’s strategic direction.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Description:</b></p><p><b>&nbsp;</b></p><p>The AI, Data Governance &amp; Privacy Officer is responsible for establishing and operating the enterprise-wide governance framework for data, artificial intelligence, privacy, and responsible digital innovation.</p><p>&nbsp;</p><p>The role serves as the second-line governance authority for AI and data, ensuring that the organisation maximises the value of data and AI while maintaining compliance with regulatory requirements, ethical standards, privacy obligations, and enterprise risk management principles.</p><p>&nbsp;</p><p>The officer will lead the development of data governance and AI governance frameworks, oversee privacy compliance programmes, drive trustworthy AI adoption, and act as the organisational subject matter expert on data protection, AI risk management, and information governance.</p><p>&nbsp;</p><p>This role is particularly critical as the organisation expands the use of Agentic AI, Generative AI, advanced analytics, machine learning, intelligent automation, and enterprise data platforms across underwriting, claims, finance, reinsurance, customer service, and corporate operations.</p><p>&nbsp;</p><p><b>What you will do</b></p><p>&nbsp;</p><p><b>1. Enterprise AI Governance</b></p><p>&nbsp;</p><ul><li>Establish and maintain the enterprise AI Governance Framework.</li></ul><p>&nbsp;</p><ul><li>Define policies, standards, controls, and operating procedures for AI usage.</li></ul><p>&nbsp;</p><ul><li>Create governance models for:</li></ul><p>&nbsp;</p><ul><li>Agentic AI</li><li>Generative AI</li><li>Machine Learning</li><li>Advanced Analytics</li><li>Intelligent Automation</li></ul><p>&nbsp;</p><ul><li>Chair the AI Governance Committee.</li></ul><p>&nbsp;</p><ul><li>Define AI approval and risk assessment processes.</li></ul><p>&nbsp;</p><ul><li>Ensure AI initiatives align with:</li></ul><p>&nbsp;</p><ul><li>Regulatory requirements</li><li>Ethical AI principles</li><li>Security policies</li><li>Business objectives</li></ul><p>&nbsp;</p><ul><li>Implement AI lifecycle governance across development, deployment, monitoring, and retirement.</li></ul><p>&nbsp;</p><ul><li>Develop controls for:</li><li>Explainability</li><li>Fairness</li><li>Bias management</li><li>Human oversight</li><li>Model monitoring</li><li>Prompt governance</li><li>Auditability</li></ul><p>&nbsp;</p><p>&nbsp;</p><p><b>2. Data Governance &amp; Information Management</b></p><p>&nbsp;</p><ul><li>Develop and operate the enterprise data governance framework.</li></ul><p>&nbsp;</p><ul><li>Establish data ownership and stewardship models.</li></ul><p>&nbsp;</p><ul><li>Define enterprise standards for:</li></ul><p>&nbsp;</p><ul><li>Data quality</li><li>Metadata management</li><li>Master data management</li><li>Data lineage</li><li>Data retention</li><li>Data classification</li></ul><p>&nbsp;</p><ul><li>Lead enterprise data cataloguing and inventory programmes.</li></ul><p>&nbsp;</p><ul><li>Implement data governance tooling and controls.</li></ul><p>&nbsp;</p><ul><li>Develop governance measures for structured and unstructured data.</li></ul><p>&nbsp;</p><ul><li>Drive data quality improvement initiatives across business functions.</li></ul><p>&nbsp;</p><ul><li>Establish governance for enterprise data platforms, analytics environments, GenAI platforms, and data lakes.</li></ul><p>&nbsp;</p><p>&nbsp;</p><p><b>3. Privacy &amp; Data Protection</b></p><p>&nbsp;</p><ul><li>Act as Data Protection Officer (where required by regulation).</li></ul><p>&nbsp;</p><ul><li>Lead compliance with:</li></ul><p>&nbsp;</p><ul><li>UAE PDPL</li><li>DIFC Data Protection Law</li><li>GDPR</li><li>Other applicable regional privacy regulations</li></ul><p>&nbsp;</p><ul><li>Define and maintain enterprise privacy frameworks.</li></ul><p>&nbsp;</p><ul><li>Conduct and oversee:</li></ul><p>&nbsp;</p><ul><li>Data Protection Impact Assessments (DPIAs)</li><li>Privacy Risk Assessments</li><li>Third-party Privacy Reviews</li></ul><p>&nbsp;</p><ul><li>Establish Privacy by Design practices across business and technology initiatives.</li></ul><p>&nbsp;</p><ul><li>Manage:</li></ul><p>&nbsp;</p><ul><li>Data Subject Rights Requests</li><li>Consent management processes</li><li>Cross-border transfer assessments</li><li>Breach response governance</li></ul><p>&nbsp;</p><p><b>4. AI Risk &amp; Model Governance</b></p><p>&nbsp;</p><ul><li>Define model governance standards.</li></ul><p>&nbsp;</p><ul><li>Establish model risk management processes.</li></ul><p>&nbsp;</p><ul><li>Classify AI systems based on risk and criticality.</li></ul><p>&nbsp;</p><ul><li>Develop controls for:</li></ul><p>&nbsp;</p><ul><li>Model validation</li><li>Performance monitoring</li><li>Drift detection</li><li>Explainability</li><li>Human-in-the-loop oversight</li></ul><p>&nbsp;</p><ul><li>Maintain an enterprise AI model inventory.</li></ul><p>&nbsp;</p><ul><li>Conduct periodic AI risk assessments.</li></ul><p>&nbsp;</p><ul><li>Ensure regulatory readiness for emerging AI regulations.</li></ul><p>&nbsp;</p><p><b>5. Regulatory Compliance &amp; Audit</b></p><p>&nbsp;</p><ul><li>Monitor evolving AI, privacy, and data regulations globally.</li></ul><p>&nbsp;</p><ul><li>Translate regulatory requirements into governance controls.</li></ul><p>&nbsp;</p><ul><li>Coordinate regulatory responses and examinations.</li></ul><p>&nbsp;</p><ul><li>Support Internal Audit, Risk, Compliance, and External Audit activities.</li></ul><p>&nbsp;</p><ul><li>Maintain evidence repositories for governance and compliance activities.</li></ul><p>&nbsp;</p><ul><li>Lead remediation of governance and privacy findings.</li></ul><p>&nbsp;</p><p><b>6. Vendor, Third-Party &amp; Cloud Governance</b></p><p>&nbsp;</p><ul><li>Define governance requirements for AI vendors and data processors.</li></ul><p>&nbsp;</p><ul><li>Review:</li></ul><p>&nbsp;</p><ul><li>SaaS contracts</li><li>AI solution providers</li><li>Data sharing arrangements</li><li>Third-party processing agreements</li></ul><p>&nbsp;</p><ul><li>Assess external AI platforms for privacy, security, compliance, and ethical risk.</li></ul><p>&nbsp;</p><ul><li>Establish governance controls for third-party LLMs and foundation model providers.</li></ul><p>&nbsp;</p><p><b>7. Governance Awareness &amp; Culture</b></p><p>&nbsp;</p><ul><li>Develop enterprise-wide training programmes on:</li></ul><p>&nbsp;</p><ul><li>Responsible AI</li><li>Data governance</li><li>Data protection</li><li>Information handling</li></ul><p>&nbsp;</p><ul><li>Build a culture of responsible innovation.</li></ul><p>&nbsp;</p><ul><li>Conduct executive awareness sessions and governance workshops.</li></ul><p>&nbsp;</p><ul><li>Develop reporting dashboards and governance KPIs.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required Skills to be successful&nbsp;</b></p><p>&nbsp;</p><p><b>Education</b></p><p>&nbsp;</p><ul><li>Bachelor's Degree in Computer Science, Information Systems, Data Science, Cybersecurity, Law, or related field.</li></ul><p>&nbsp;</p><ul><li>Master's Degree preferred.</li></ul><p>&nbsp;</p><p><b>Experience</b></p><p>&nbsp;</p><ul><li>10+ years of experience in data governance, privacy, risk, information management, or technology governance.</li></ul><p>&nbsp;</p><ul><li>Minimum 5 years leading enterprise governance initiatives.</li></ul><p>&nbsp;</p><ul><li>Experience within insurance, financial services, banking, or regulated industries preferred.</li></ul><p>&nbsp;</p><ul><li>Practical experience governing:</li></ul><p>&nbsp;</p><ul><li>AI/ML platforms</li><li>Generative AI</li><li>Cloud platforms</li><li>Enterprise data environments</li></ul><p><br></p></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Data Analysis &amp; Insight Generation</p></li></ol><p>Analyze large datasets to identify trends and generate actionable insights for decision making and operational efficiency.</p><p>Communicate findings through visualizations and clear storytelling.</p><ol><li><p>Machine Learning &amp; Model Development</p></li></ol><p>Develop and deploy machine learning models for use cases such as forecasting, optimization, and risk analysis.</p><p>Apply statistical and machine learning techniques to solve complex business problems.</p><ol><li><p>Data Preparation &amp; Feature Engineering</p></li></ol><p>Prepare data through extraction, cleaning, preprocessing, and feature engineering.</p><p>Ensure data quality and integrity for reliable model performance.</p><ol><li><p>Model Deployment &amp; Monitoring</p></li></ol><p>Deploy models into production and monitor performance for drift or degradation.</p><p>Continuously improve models based on feedback and new data.</p><ol><li><p>Collaboration &amp; Stakeholder Engagement</p></li></ol><p>Work with business teams to translate requirements into analytical solutions.</p><p>Collaborate with Data Engineering and Data Governance teams for end to end delivery.</p><ol><li><p>AI Governance</p></li></ol><p>Ensure all AI and machine learning activities comply with governance, privacy, and regulatory requirements by following defined lifecycle processes, risk classification, and using approved governed data.</p><p>Implement responsible and secure AI practices, including bias and fairness checks, explainability, model documentation, auditability, and collaboration with Cybersecurity and Data Governance teams.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum Qualifications</p><ul><li><p>Bachelor's or Master's Degree in Data Science, Artificial Intelligence (AI), Statistics, Computer Science, or a related field.</p></li></ul><p>Minimum Experience</p><ul><li><p>Minimum <strong>5+ years</strong> of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.</p></li><li><p>Proven experience developing, deploying, and maintaining machine learning models in production environments.</p></li><li><p>Experience working with large-scale datasets and cloud-based analytics platforms is preferred.</p></li></ul><p>Skills &amp; Competencies</p><ul><li><p>Strong programming skills in <strong>Python</strong> (preferred) or <strong>R</strong>.</p></li><li><p>Experience with large-scale data processing using <strong>SQL</strong>, <strong>Spark</strong>, or similar technologies.</p></li><li><p>Hands-on experience with machine learning frameworks such as <strong>TensorFlow</strong>, <strong>PyTorch</strong>, and <strong>Scikit-learn</strong>.</p></li><li><p>Experience in end-to-end machine learning model development, validation, deployment, and optimization.</p></li><li><p>Knowledge of <strong>MLOps</strong> practices, including CI/CD pipelines, model monitoring, version control, and automated retraining.</p></li><li><p>Understanding of data engineering concepts, data pipelines, and cloud data platforms, preferably <strong>Microsoft Azure</strong> and <strong>Databricks</strong>.</p></li><li><p>Strong knowledge of statistical analysis, predictive modeling, feature engineering, and data preprocessing techniques.</p></li><li><p>Experience using data visualization tools such as <strong>Power BI</strong> and <strong>Tableau</strong> to communicate analytical insights.</p></li><li><p>Understanding of data governance, data quality management, privacy regulations, and AI governance principles.</p></li><li><p>Strong analytical thinking, problem-solving, and critical reasoning skills.</p></li><li><p>Excellent communication, presentation, and stakeholder management skills.</p></li><li><p>Ability to work collaboratively with cross-functional teams in an agile environment.</p></li><li><p>Strong organizational skills with the ability to manage multiple priorities and deliver high-quality outcomes within deadlines.</p></li></ul></li></ul><p></p></section>

<ul><li><p>Develop and maintain accurate BIM models for fit-out and interior design projects. Ø Create detailed 3D models using Revit and other BIM software. Ø Prepare shop drawings, construction drawings, and as-built drawings. Ø Coordinate architectural, interior, joinery, furniture, and MEP models. Ø Perform clash detection and resolve model conflicts with project stakeholders. Ø Ensure BIM models comply with project specifications, standards, and client requirements. Ø Update models based on design revisions and site changes. Ø Extract plans, elevations, sections, schedules, and quantities from BIM models. Ø Support designers, architects, engineers, and project teams with technical drawings and model information. Ø Participate in design coordination and project review meetings. Ø Maintain BIM documentation and model version control. Ø Assist in the preparation of material schedules and quantity take-offs. Ø Conduct quality checks to ensure model accuracy and completeness. Ø Coordinate with site teams to verify installation details and update as-built information. Ø Ensure timely delivery of BIM models and drawings in line with project schedules.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Diploma or bachelor’s degree in architecture, Civil Engineering, Interior Design, Construction Engineering. Ø 2-5 years of experience as a BIM Modeler, Draftsman, or BIM Technician. Ø Experience in interior fit-out, design & build, construction, or architectural projects. Ø Strong knowledge of BIM principles, standards, and workflows. Ø Strong understanding of joinery and fit-out systems, including materials (MDF, veneers, laminates, hardwood), finishes, fixings, and hardware. Ø Knowledge of interior construction methods, detailing, and industry best practices. Ø knowledge of shop drawing production and approval workflows. Ø Knowledge of project lifecycle, from design development through to installation and handover. Ø Proficiency in Revit, AutoCAD, Navisworks, and BIM software Ø Professional in BIM modeling and drafting. Ø Skills in Clash detection, coordination and technical drawing preparation. Ø Familiarity with MS Office Suite (Excel, Word, Outlook) for reporting and coordination. Ø Ability to read and interpret architectural, ID, MEP, and structural drawings for coordination. Ø Strong verbal and written communication skills to engage with clients, consultants, subcontractors, and internal teams. Ø Create accurate 3D BIM models, coordinate multidisciplinary models, identify and resolve design clashes. Ø Ability to manage multiple priorities and technical packages across different stages of the project. Ø Skills in tracking production, deliveries, and installations against project schedules. Ø Capable of troubleshooting on-site technical issues and proposing practical solutions quickly.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking an experienced <strong>BIM Coordinator</strong> to join a leading engineering consultancy in Abu Dhabi. The successful candidate will be responsible for coordinating multidisciplinary BIM models across major transportation, roads, highways, utilities, and infrastructure projects. This role is suited for candidates with a strong consulting background and hands-on experience delivering BIM workflows on large-scale infrastructure developments.</p><br><br><br>Responsibilities:<br><ul><li>Coordinate multidisciplinary BIM models for roads, highways, transportation, utilities, drainage, and infrastructure projects.</li><li>Manage model integration and federated model coordination across Civil, Utilities, Structures, and Transport disciplines.</li><li>Perform clash detection and model reviews using Navisworks and ensure timely resolution of design conflicts.</li><li>Ensure BIM deliverables comply with project BIM Execution Plans (BEP), client requirements, and ISO 19650 standards.</li><li>Monitor model quality, data consistency, naming conventions, and compliance with established BIM standards.</li><li>Facilitate BIM coordination meetings with internal design teams and external stakeholders.</li><li>Produce coordination reports, clash reports, model audits, and BIM progress updates.</li><li>Support project teams in BIM implementation throughout the design and delivery phases.</li><li>Maintain and manage models within Autodesk Construction Cloud (ACC) / BIM 360 environments.</li><li>Collaborate closely with design managers, discipline leads, and BIM Managers to achieve project objectives.</li><li>Assist in developing and improving BIM workflows, templates, and best practices for infrastructure projects.</li><li>Ensure all BIM deliverables are submitted in accordance with project schedules and client expectations.</li></ul><br><br>Qualifications:<br><ul><li>Bachelor's Degree or Diploma in Civil Engineering or related discipline.</li><li>5-8 years of BIM coordination experience on transportation, roads, highways, utilities, and infrastructure projects.</li><li>Proven experience working with engineering consultancies on design projects within the UAE or GCC region.</li><li>Strong proficiency in Autodesk Civil 3D, Revit, Navisworks, AutoCAD, and ACC/BIM 360.</li><li>Experience coordinating infrastructure disciplines including roads, wet utilities, dry utilities, drainage, and structures.</li><li>Strong understanding of BIM standards, CDE workflows, and digital delivery processes.</li><li>Excellent communication and stakeholder coordination skills.</li><li>Knowledge of UAE authority and infrastructure design standards is preferred.</li><li>Experience with leading engineering consultants such as AECOM, Jacobs, AtkinsRéalis, Parsons, WSP, Egis, Arcadis, or similar is highly desirable.</li><li>Candidates with predominantly building, architectural, MEP building, or contractor-side BIM experience will not be considered.</li><li>Consultant-side infrastructure BIM experience is mandatory.</li></ul><br> </div>