Model Jobs - Dubai UAE

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

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

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

Machine Learning Engineer<br>Position: Machine Learning Engineer<br>Type: Hourly Contract<br>Compensation: $80–$140/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Machine Learning Engineers with expertise in Python, machine learning, data analysis, model development, and Mongo DB to contribute to advanced AI training and evaluation projects. You'll apply your technical expertise to design and refine machine learning solutions, analyze datasets, evaluate model performance, and develop reliable workflows that support the training and deployment of next-generation AI systems. Responsibilities Design, develop, and refine machine learning models using Python and relevant ML frameworks. Analyze and process large datasets for model training, validation, and evaluation. Use Mongo DB for efficient data storage, manipulation, querying, and retrieval. Develop and maintain data preprocessing and feature engineering pipelines. Evaluate model performance using appropriate metrics, benchmarking, and validation techniques. Perform hyperparameter tuning and iterative model optimization. Collaborate with cross-functional teams to identify opportunities for model and workflow improvements. Integrate data pipelines into training and inference workflows. Document experiments, methodologies, results, and technical decisions to ensure reproducibility. Provide actionable insights and recommendations based on machine learning and data-driven findings. Required Qualifications Professional experience working as a Machine Learning Engineer, ML Developer, Data Scientist, or similar role. Strong proficiency in Python and machine learning development. Hands-on experience with machine learning frameworks such as scikit-learn, Tensor Flow, or PyTorch. Practical experience using Mongo DB for data management and retrieval. Strong understanding of machine learning algorithms, model evaluation, and data preprocessing. Experience with feature engineering, hyperparameter tuning, and model benchmarking. Strong analytical and problem-solving abilities. Excellent written communication and technical documentation skills. Ability to work independently and collaborate effectively in a remote environment. Preferred Qualifications Experience deploying or operationalizing machine learning models in cloud or enterprise environments. Familiarity with ML pipelines, model serving, and inference workflows. Experience working with large-scale datasets and production ML systems. Knowledge of MLOps, model monitoring, or automated ML workflows. Experience contributing to AI training, model evaluation, or data-quality initiatives. Strong understanding of scalable data and machine learning architectures. Ability to adapt quickly to evolving technical requirements and project priorities. Compensation Competitive compensation of $80–$140/hour. Hourly contract engagement. Fully remote with flexible working arrangements. Opportunity to contribute to next-generation AI training and evaluation projects. Application Process Easy Apply on Linked InCheck Email for Next Steps Complete the required assessment based on your professional background Participate in the interview/evaluation stage Hiring team review

Role: Software Quality Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Agentic Coding Annotator - Online / Offline Tasks to work on a full-time basis. This role involves working with realistic coding tasks in an agentic coding harness, reviewing model trajectories, verifying solutions, and producing high-quality annotations. Candidates are expected to read and debug code, validate behavior, follow detailed process rules, and make consistent judgment calls across model runs.<br>Key Responsibilities:• Execute realistic coding tasks within the assigned agentic coding harness while maintaining model blindness and session independence• Follow task instructions, milestones, planned interactions, and evaluation guardrails consistently across runs• Verify model outputs by reading code, running commands, checking logs, and inspecting generated artifacts• Design multi-step, realistic coding tasks including user intent and milestone structure for offline evaluations• Write clear, specific, evidence-based rationales for trajectory rankings and assessments<br>Required Skills & Qualifications:• Proficiency in Python, Java Script, Java, C++, or SQL for code analysis and debugging• Experience working with realistic software tasks beyond toy problems or shallow code-review exercises• Ability to design task-specific rubrics and binary evaluation criteria for model outputs• Strong attention to detail to ensure high-quality annotations and consistent grading• Comfort with debugging, test validation, and manual verification of software behavior<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 advancement and deployment of powerful AI systems. The work directly supports the development of agentic coding models used for mission-critical applications.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Software Quality Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Agentic Coding Annotator - Online / Offline Tasks to work on a full-time basis. This role involves working with realistic coding tasks in an agentic coding harness, reviewing model trajectories, verifying solutions, and producing high-quality annotations. Candidates are expected to read and debug code, validate behavior, follow detailed process rules, and make consistent judgment calls across model runs.<br>Key Responsibilities:• Execute realistic coding tasks within the assigned agentic coding harness while maintaining model blindness and session independence• Follow task instructions, milestones, planned interactions, and evaluation guardrails consistently across runs• Verify model outputs by reading code, running commands, checking logs, and inspecting generated artifacts• Design multi-step, realistic coding tasks including user intent and milestone structure for offline evaluations• Write clear, specific, evidence-based rationales for trajectory rankings and assessments<br>Required Skills & Qualifications:• Proficiency in Python, Java Script, Java, C++, or SQL for code analysis and debugging• Experience working with realistic software tasks beyond toy problems or shallow code-review exercises• Ability to design task-specific rubrics and binary evaluation criteria for model outputs• Strong attention to detail to ensure high-quality annotations and consistent grading• Comfort with debugging, test validation, and manual verification of software behavior<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 advancement and deployment of powerful AI systems. The work directly supports the development of agentic coding models used for mission-critical applications.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Software Quality Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Agentic Coding Annotator - Online / Offline Tasks to work on a full-time basis. This role involves working with realistic coding tasks in an agentic coding harness, reviewing model trajectories, verifying solutions, and producing high-quality annotations. Candidates are expected to read and debug code, validate behavior, follow detailed process rules, and make consistent judgment calls across model runs.<br>Key Responsibilities:• Execute realistic coding tasks within the assigned agentic coding harness while maintaining model blindness and session independence• Follow task instructions, milestones, planned interactions, and evaluation guardrails consistently across runs• Verify model outputs by reading code, running commands, checking logs, and inspecting generated artifacts• Design multi-step, realistic coding tasks including user intent and milestone structure for offline evaluations• Write clear, specific, evidence-based rationales for trajectory rankings and assessments<br>Required Skills & Qualifications:• Proficiency in Python, Java Script, Java, C++, or SQL for code analysis and debugging• Experience working with realistic software tasks beyond toy problems or shallow code-review exercises• Ability to design task-specific rubrics and binary evaluation criteria for model outputs• Strong attention to detail to ensure high-quality annotations and consistent grading• Comfort with debugging, test validation, and manual verification of software behavior<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 advancement and deployment of powerful AI systems. The work directly supports the development of agentic coding models used for mission-critical applications.<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!

<ul><li><p>Designs and develops scalable machine learning models and AI-driven</p><p>solutions to address complex business challenges and enhance decision-</p><p>making processes</p><p>KEY RESPONSIBILITIE S</p><ul><li><p>Work with large and complex data sets to solve challenging business</p></li></ul><p>problems</p><ul><li><p>Collect, clean, and preprocess large datasets for analysis & model training</p></li><li><p>Perform exploratory data analysis (EDA) to uncover insights and inform model</p></li></ul><p>development</p><ul><li><p>Develop, train, and optimize machine learning models using state-of-the-art</p></li></ul><p>algorithms and frameworks</p><ul><li><p>Build end-to-end ML pipelines, including data ingestion, transformation, model</p></li></ul><p>training, validation, and deployment</p><ul><li><p>Automate workflows for model training, testing, and deployment using</p></li></ul><p>CI/CD pipelines and MLOps tools</p><ul><li><p>Collaborate with cross-functional teams to integrate models into applications</p></li></ul><p>and deliver end-to-end solutions</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5 years of experience in data science, machine learning, or AI</p><ul><li><p>Expertise in supervised/unsupervised learning, deep learning, NLP, computer</p></li></ul><p>vision, or generative AI (e.g., LLMs).</p><ul><li><p>Strong proficiency in Python and/or R; familiarity with SQL for data querying</p></li><li><p>Ability to build data pipelines (Spark, Airflow, Hadoop) and work with big data</p></li></ul><p>tools</p><ul><li><p>Understanding of model serving, API development (FastAPI, Flask), and</p></li></ul><p>optimizing model performance for real-time or batch inference.</p><ul><li><p>Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like</p></li></ul><p>MLflow/Kubeflow for model lifecycle management (MLOps)</p><p>Classified: Internal\ FAB.</p><p>Internal</p><ul><li><p>Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g.,</p></li></ul><p>Sagemaker, Vertex AI)</p><ul><li><p>Educational qualifications: Master in Computer Science or a related field</p></li></ul><p>Work Experience</p><p>5-7Years</p></li></ul>

<ul><li><p>Designs and develops scalable machine learning models and AI-driven</p><p>solutions to address complex business challenges and enhance decision-</p><p>making processes</p><p>KEY RESPONSIBILITIES</p><ul><li><p>Work with large and complex data sets to solve challenging business</p></li></ul><p>problems</p><ul><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</p></li></ul><p>algorithms and frameworks</p><ul><li><p>Build production grade end-to-end ML pipelines, including data ingestion,</p></li></ul><p>transformation, model training, validation, and deployment</p><ul><li><p>Automate workflows for model training, testing, and deployment using</p></li></ul><p>CI/CD pipelines and MLOps tools</p><ul><li><p>Collaborate with cross-functional teams to integrate models into applications</p></li></ul><p>and deliver end-to-end solutions</p><ul><li><p>Finetune SLMs/LLMs and build complex AI architectures</p></li></ul></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><ul><li><p>Expert in supervised/unsupervised learning, deep learning, NLP, computer</p></li></ul><p>vision, or generative AI (e.g., LLMs).</p><ul><li><p>Strong ML system architecture skills</p></li><li><p>Understanding of model serving, API development (FastAPI, Flask), and</p></li></ul><p>optimizing model performance for real-time or batch inference.</p><ul><li><p>General Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like</p></li></ul><p>MLflow/Kubeflow for model lifecycle management (MLOps)</p><ul><li><p>Comfortable with deploying models on AWS or Azure</p></li><li><p>Minimum Educational qualifications: Bachelor’s degree in Computer Science,</p></li></ul><p>Engineering, or related field required</p><p>Classified: Internal\ FAB</p><p>Internal</p><ul><li><p>Preferred Education qualifications: Master or PhD in Computer Science or a</p></li></ul><p>related field.</p><p>Work Experience</p><p>7-10Years</p></li></ul>

Company Overview BFL Group is one of the world’s leading off-price retailers of fashion and homeware. With headquarters based in United Arab Emirates, we serve over markets across the region and Southeast Asia. Our goal is to delight customers and entice them back with the promise of exceptional pieces that excite – all at up to 80% off the original retail price for fashion designer brands. Our unique “Treasure Hunt” model ensures there is always something new to explore, desire and discover within our stores. Our customers walk out with new items every time they visit any of our stores.<br>Role Purpose:The Senior Warehouse Supervisor is responsible for leading and managing end-to-end warehouse operations to ensure optimal workflow, accuracy, and efficiency. This role oversees multiple warehouse teams, drives operational excellence, and ensures compliance with company standards, safety policies, and regulatory requirements. The Senior Warehouse Supervisor plays a key role in planning daily operations, maintaining inventory integrity, improving processes, and supporting the Warehouse Manager in achieving strategic and operational goals.<br>Key Responsibilities:Operational Leadership & Workflow Management Perform Oversee and coordinate all warehouse activities across inbound, outbound, storage, picking, packing, dispatch, and return processes. Ensure timely, accurate, and efficient execution of receiving, scanning, sorting, put-away, picking, replenishment, and shipment tasks. Plan daily workloads, allocate manpower, and adjust resources to meet operational targets and service-level requirements. Monitor KPIs such as productivity, accuracy, turnaround time, and equipment utilization; identify and address performance gaps. Ensure strict adherence to SOPs, quality standards, and regulatory requirements.<br>Inventory Control & Accuracy:Oversee end-to-end inventory management, including receipt verification, stock movement tracking, cycle counts, and periodic audits. Ensure proper storage methods, bin accuracy, stock rotation, and handling to maintain inventory integrity. Investigate and resolve discrepancies related to quantity, quality, damage, returns, or misplacement. Review inventory reports, analyse root causes of variances, and implement corrective and preventive measures.<br>Team Leadership, Coaching & Performance Management:Act Supervise multiple teams and shift leaders, ensuring proper coordination and performance across all warehouse functions. Provide ongoing coaching, training, and skill development to enhance staff capability and productivity. Conduct performance reviews, address disciplinary matters, and support succession planning in coordination with the Warehouse Manager. Promote a high-performance culture focused on accountability, teamwork, safety, and continuous improvement.<br>Process Implementation, Improvement & Compliance:Support the Warehouse Manager in implementing new operational processes, productivity initiatives, and system enhancements. Lead continuous improvement efforts to enhance workflow efficiency, reduce errors, and optimize warehouse layout and storage utilization. Ensure proper handling and safeguarding of goods to minimize loss, spoilage, or breakage. Participate in WMS enhancements, data validation, and troubleshooting to ensure system accuracy and smooth operations.<br>Coordination, Reporting & Stakeholder Communication:Coordinate closely with logistics, transportation, procurement, and customer service teams for seamless operational planning. Prepare and present daily operational reports, KPI summaries, incident analyses, and workflow updates to the Warehouse Manager. Communicate priorities, challenges, and progress to team leaders and associates to ensure alignment and execution. Support customer-related operational requirements, including special projects, urgent orders, and service-level commitments.<br>Safety, Housekeeping & Facility Management:Coordinate Champion warehouse safety programs and enforce compliance with occupational health and safety regulations. Ensure facility cleanliness, organization, and hazard-free operation across all shifts. Oversee the proper use, routine maintenance, and servicing of warehouse equipment, tools, and machinery. Monitor operational expenses, ensure alignment with budget, and assist in planning cost-efficient resource utilization.<br>Requirements:High school diploma required; diploma/degree in Logistics, Supply Chain, or a related field is preferred. Minimum 4–6 years of warehouse experience, including 2–3 years in a supervisory or senior supervisory role. Strong knowledge of warehouse best practices, inventory management, and WMS/ERP systems. Proven leadership skills with the ability to manage large teams across multiple functions and shifts. Strong analytical thinking, problem-solving abilities, and decision-making skills under pressure. Excellent communication, organizational, and time-management capabilities. Ability to work in fast-paced environments and adapt to operational priorities. Willingness to work flexible or rotational shifts as required.<br><br>If you think you are fit for this job position, then apply right away. You are steps away from joining a Great Place to Work© and we would love to meet you soon!

Role: Python Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Python Developer to assist a foundational LLM company in enhancing their large language models. The goal is to provide high-quality proprietary data for fine-tuning and benchmarking model performance.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.• Conduct evaluations to benchmark model performance and analyze results for continuous improvement.• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.• Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets.• Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models.<br>Required Skills & Qualifications:• Proficiency in Python and related frameworks/libraries for AI/ML tasks.• Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).• Strong understanding of evaluation strategies and benchmarking processes for AI models.• Ability to design and implement Python code for data generation and model optimization.• Familiarity with AI model response evaluation and ranking methodologies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing to the advancement of large language models. Candidates will collaborate with top researchers and engineers in the field.<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: Python Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Python Developer to assist a foundational LLM company in enhancing their large language models. The goal is to provide high-quality proprietary data for fine-tuning and benchmarking model performance.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.• Conduct evaluations to benchmark model performance and analyze results for continuous improvement.• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.• Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets.• Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models.<br>Required Skills & Qualifications:• Proficiency in Python and related frameworks/libraries for AI/ML tasks.• Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).• Strong understanding of evaluation strategies and benchmarking processes for AI models.• Ability to design and implement Python code for data generation and model optimization.• Familiarity with AI model response evaluation and ranking methodologies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing to the advancement of large language models. Candidates will collaborate with top researchers and engineers in the field.<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: Python Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Python Developer to assist a foundational LLM company in enhancing their large language models. The goal is to provide high-quality proprietary data for fine-tuning and benchmarking model performance.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.• Conduct evaluations to benchmark model performance and analyze results for continuous improvement.• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.• Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets.• Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models.<br>Required Skills & Qualifications:• Proficiency in Python and related frameworks/libraries for AI/ML tasks.• Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).• Strong understanding of evaluation strategies and benchmarking processes for AI models.• Ability to design and implement Python code for data generation and model optimization.• Familiarity with AI model response evaluation and ranking methodologies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing to the advancement of large language models. Candidates will collaborate with top researchers and engineers in the field.<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: Physics Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Physics Expert (PhD/Master's) to work on a full-time basis. You will design and solve challenging physics problems to probe the limitations of large language models. You will create clear, high-quality, step-by-step solutions with well-articulated reasoning.<br>Key Responsibilities:• Design and solve complex physics problems to evaluate large language model capabilities.• Create step-by-step solutions with detailed reasoning to assess model performance.• Collaborate with LLM researchers to align problems with evaluation goals, focusing on abstraction, multi-step reasoning, and symbolic manipulation.• Help define new evaluation benchmarks using physics curricula ranging from early undergraduate to PhD-level topics.• Provide constructive feedback and detailed annotations to improve model outputs.<br>Required Skills & Qualifications:• Strong foundation in physics, including quantum mechanics, relativity, and electromagnetism.• Ability to break down complex physics concepts into clear, simple explanations.• Excellent structured communication and collaboration skills in a remote setting.• Research and analytical skills with creative and lateral thinking abilities.• Self-motivated with the ability to work independently in a remote environment.<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 advanced AI systems. The work helps bridge physics expertise with AI model evaluation, shaping the future of language model performance.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Finance Data Analytics & Automation Consultant Assignment type: Six-month, full-time project assignment<br>Role Overview Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment. The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment. The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills. The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model. This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br>Assignment Duration and Work Arrangement Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAEReporting line: Group Finance Director Any extension will depend on project needs and performance.<br>Project Context Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br>Key Responsibilities Finance Process and Model Review Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. Excel Modelling and Data Extraction Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. Finance Data Automation Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. Power BI and Reporting Development Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. Workflow Automation and AI-Enabled Reporting Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. Documentation and Handover Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. Required Skills And Experience The consultant should have hands-on experience in:Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools.<br>Ideal Profile Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation. Relevant backgrounds may include:Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis The ideal candidate combines Finance knowledge with practical technical delivery. Finance Knowledge Required The consultant should understand:Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable. Preferred Additional Exposure Additional useful exposure includes:Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements Candidate Attributes The consultant should be:Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Finance Data Analytics & Automation Consultant Assignment type: Six-month, full-time project assignment<br>Role Overview Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment. The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment. The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills. The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model. This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br>Assignment Duration and Work Arrangement Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAEReporting line: Group Finance Director Any extension will depend on project needs and performance.<br>Project Context Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br>Key Responsibilities Finance Process and Model Review Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. Excel Modelling and Data Extraction Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. Finance Data Automation Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. Power BI and Reporting Development Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. Workflow Automation and AI-Enabled Reporting Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. Documentation and Handover Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. Required Skills And Experience The consultant should have hands-on experience in:Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools.<br>Ideal Profile Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation. Relevant backgrounds may include:Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis The ideal candidate combines Finance knowledge with practical technical delivery. Finance Knowledge Required The consultant should understand:Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable. Preferred Additional Exposure Additional useful exposure includes:Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements Candidate Attributes The consultant should be:Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

<ul><li><p>AI & ML Engineering</p><ul><li><p>Develop, deploy, and optimize machine learning and deep learning models.</p></li><li><p>Build AI solutions for NLP, computer vision, predictive analytics, and intelligent automation.</p></li><li><p>Integrate AI services into enterprise applications and internal platforms.</p></li></ul><p>Generative AI</p><ul><li><p>Develop LLM-based applications, AI copilots, and RAG solutions.</p></li><li><p>Implement prompt engineering, model evaluation, embeddings, and semantic search.</p></li><li><p>Optimize model performance, scalability, and cost.</p></li></ul><p>Agentic AI</p><ul><li><p>Design and deploy autonomous and multi-agent AI systems.</p></li><li><p>Develop agent orchestration, planning, reasoning, memory, and tool integration.</p></li><li><p>Implement human-in-the-loop approvals and enterprise workflow automation.</p></li></ul><p>AI Operations (MLOps / LLMOps / AgentOps)</p><ul><li><p>Build CI/CD pipelines for AI models and agents.</p></li><li><p>Monitor AI systems for performance, drift, hallucinations, security, and reliability.</p></li><li><p>Manage model versioning, deployment, observability, and lifecycle operations.</p></li></ul><p>AI Governance & Responsible AI</p><ul><li><p>Implement AI governance, model risk management, and Responsible AI practices.</p></li><li><p>Maintain model documentation, validation, audit readiness, and compliance.</p></li><li><p>Ensure fairness, traceability, maintainability, privacy, and regulatory adherence.</p></li></ul><p>Agent Governance & Security</p><ul><li><p>Govern AI agent lifecycle, identity, access, and runtime controls.</p></li><li><p>Implement guardrails, audit logging, and secure integration with enterprise systems.</p></li><li><p>Protect AI solutions against prompt injection, data leakage, and adversarial attacks.</p></li></ul><p>Collaboration</p><ul><li><p>Work with business, engineering, security, and architecture teams to deliver AI solutions.</p></li><li><p>Mentor team members and promote AI engineering standards and best practice</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>AI & Machine Learning</p><ul><li><p>Machine Learning, Deep Learning, NLP, Computer Vision</p></li><li><p>Predictive Analytics, Feature Engineering, Model Optimization</p></li></ul><p>Generative AI</p><ul><li><p>Large Language Models (LLMs)</p></li><li><p>Retrieval-Augmented Generation (RAG)</p></li><li><p>Prompt Engineering</p></li><li><p>Embeddings and Semantic Search</p></li><li><p>Fine-tuning Foundation Models</p></li></ul><p>Agentic AI</p><ul><li><p>Autonomous and Multi-Agent Systems</p></li><li><p>Agent Orchestration</p></li><li><p>Planning and Reasoning</p></li><li><p>Memory Management</p></li><li><p>Tool Calling</p></li><li><p>Human-in-the-Loop (HITL)</p></li><li><p>Model Context Protocol (MCP)</p></li></ul><p>Frameworks & Libraries</p><ul><li><p>PyTorch</p></li><li><p>TensorFlow</p></li><li><p>Scikit-learn</p></li><li><p>Hugging Face</p></li><li><p>LangChain</p></li><li><p>LangGraph</p></li><li><p>LlamaIndex</p></li><li><p>AutoGen</p></li><li><p>CrewAI</p></li><li><p>Semantic Kernel</p></li></ul><p>Cloud & Infrastructure</p><ul><li><p>Microsoft Azure AI Foundry</p></li><li><p>Azure Machine Learning</p></li><li><p>AWS Bedrock</p></li><li><p>Amazon SageMaker</p></li><li><p>Google Vertex AI</p></li><li><p>Docker</p></li><li><p>Kubernetes</p></li><li><p>Terraform</p></li></ul><p>Data & Integration</p><ul><li><p>SQL</p></li><li><p>PostgreSQL</p></li><li><p>MongoDB</p></li><li><p>Apache Spark</p></li><li><p>Vector Databases</p></li><li><p>REST APIs</p></li><li><p>FastAPI</p></li></ul><p>AI Operations</p><ul><li><p>MLflow</p></li><li><p>Kubeflow</p></li><li><p>Azure ML Pipelines</p></li><li><p>GitHub Actions</p></li><li><p>Azure DevOps</p></li></ul><p>AI Monitoring & Observability</p></li></ul>

<p><strong>Experience:</strong> 5–10 years</p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Establish AI/ML governance frameworks.</p></li><li><p>Maintain AI/model inventories.</p></li><li><p>Support model validation and monitoring.</p></li><li><p>Assess model risks, bias and explainability.</p></li><li><p>Define AI controls and documentation.</p></li><li><p>Work with technology, risk, compliance and audit teams.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><p>Mandatory Skills: AI/ML, Model Risk, Python, SQL, Governance Good to Have: Financial services, regulatory technology, responsible AI.</p>

Role: Quality Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Quality Analyst - English to work on a full-time basis. You will evaluate a new personalization feature for an AI model by assessing how well it integrates information from past conversations, email, search, and activity to deliver relevant responses. This role requires a combination of creative prompt design and analytical evaluation of AI-generated content.<br>Key Responsibilities:• Evaluate the quality of personalized responses from an AI model using your own personal experiences as context.• Design creative, multi-turn prompts that test the model’s ability to integrate personal data sources accurately.• Assess model responses for grounding, integration, and helpfulness, identifying incorrect personalization or forced connections.• Review side-by-side comparisons of AI responses to detect subtle differences in relevance and accuracy.• Provide detailed feedback on model behavior to improve personalization performance.<br>Required Skills & Qualifications:• English proficiency with a high degree of competence in reading and writing.• Experience in prompt engineering or designing test cases for AI models.• Ability to analyze nuanced and ambiguous AI responses with analytical rigor.• Familiarity with personalization concepts and evaluation metrics in AI systems.• Attention to detail to identify subtle discrepancies in model outputs.• Willingness to use your primary personal Google account and enable personal data sources for assessment.• Full-time availability in your local time zone to support a global, 24-hour operations team.<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 advanced AI systems that deliver measurable business impact.<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: Quality Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Quality Analyst - English to work on a full-time basis. You will evaluate a new personalization feature for an AI model by assessing how well it integrates information from past conversations, email, search, and activity to deliver relevant responses. This role requires a combination of creative prompt design and analytical evaluation of AI-generated content.<br>Key Responsibilities:• Evaluate the quality of personalized responses from an AI model using your own personal experiences as context.• Design creative, multi-turn prompts that test the model’s ability to integrate personal data sources accurately.• Assess model responses for grounding, integration, and helpfulness, identifying incorrect personalization or forced connections.• Review side-by-side comparisons of AI responses to detect subtle differences in relevance and accuracy.• Provide detailed feedback on model behavior to improve personalization performance.<br>Required Skills & Qualifications:• English proficiency with a high degree of competence in reading and writing.• Experience in prompt engineering or designing test cases for AI models.• Ability to analyze nuanced and ambiguous AI responses with analytical rigor.• Familiarity with personalization concepts and evaluation metrics in AI systems.• Attention to detail to identify subtle discrepancies in model outputs.• Willingness to use your primary personal Google account and enable personal data sources for assessment.• Full-time availability in your local time zone to support a global, 24-hour operations team.<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 advanced AI systems that deliver measurable business impact.<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!