Model Jobs - Dubai UAE

Role: AI Engineer (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!

Role: Senior Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $80 - $140/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, and PyTorch.• Develop scalable data pipelines to support model training and inference.• Optimize models for performance, accuracy, and latency in production environments.• Collaborate with software engineers to deploy models as APIs or microservices.• Monitor model performance and retrain systems as needed to maintain accuracy.<br>Required Skills & Qualifications:• Proficiency in Python and machine learning frameworks such as Tensor Flow or PyTorch.• Experience with data preprocessing, feature engineering, and model evaluation.• Knowledge of cloud platforms including AWS, GCP, or Azure for model deployment.• Familiarity with MLOps practices, including CI/CD for machine learning workflows.• Strong problem-solving skills and ability to work in a fast-paced, collaborative 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 cutting-edge AI solutions. You will have the chance to influence high-impact projects that drive innovation.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning (AI) Engineer (Hybrid) Location: Remote Job Type: Full-Time Payout: $200K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking an AI/ML Engineer to develop and deploy machine learning models that power core product features. The role involves collaborating with cross-functional teams to design scalable AI solutions that enhance user experience and operational efficiency.<br>Key Responsibilities:• Design, train, and optimize machine learning models using Python, Tensor Flow, and PyTorch frameworks.• Develop and maintain data pipelines to ensure high-quality input for model training and evaluation.• Implement MLOps practices to streamline model deployment, monitoring, and version control.• Collaborate with data scientists and software engineers to integrate AI capabilities into production systems.• Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.<br>Required Skills & Qualifications:• Proficiency in Python, Tensor Flow, and PyTorch for model development and training.• Experience with MLOps tools such as MLflow, Kubeflow, or Sage Maker for deployment and monitoring.• Strong background in data preprocessing, feature engineering, and model evaluation metrics.• Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.• Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the advancement of AI-driven product solutions. The position involves solving complex technical challenges in a collaborative environment with access to cutting-edge tools and datasets.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

The Story So Far: We’re Building a Global Brand in Real Estate<br><br>Huspy is one of the leading property technology companies in EMEA. Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.<br><br>Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered. We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.<br><br>We’ve built a Super App that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone. We’re not slowing down.<br><br>The question is: will you be part of what’s next?<br><br>The Main Event: What You’ll Drive, Build, and Own<br><br>Real Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches. Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations. Data Analysis & Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics. Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering). Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.<br><br>The Perfect Match: What It Takes to Succeed at Huspy<br><br>Proven Experience: 4–8 years in applied data science/ML, delivering models that move real-world KPIs. SQL & Python Mastery: Strong in frameworks such as Pandas/Num Py/Scikit-learn...building reliable data pipelines, model training and evaluation. MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training. Communication & Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs. Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts). Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure. Academic Background: Bachelor’s in STEM (Master’s a plus).<br><br>By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

INSPIRE | EXHILARATE | DELIGHT<br><br>For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.<br><br>Every step at Chalhoub Group is taken to build a future where luxury dreams become reality — bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse — the Group’s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.<br><br>Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work® certification in several markets.<br><br>Sustainability is at the core of the Group’s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women’s Empowerment Principles, and to have pledged to reach Net Zero by 2040.<br><br>What You'll Be Doing<br><br>Our Makeup Artist is responsible for delivering outstanding customer service to all customers and to use appropriate sales techniques and product knowledge to reach sales targets. Our Beauty Consultant is accountable for counter cleanliness, stock replenishment, handling new launches, promotion of products and merchandising. Our Consultant is also required to maintain high levels of standards in terms of grooming.<br><br>Build and maintain guest experience standards in order to build strong loyalty Address customers' queries about products, prices, availability, product uses, and services Communicate with customers to assess their needs, provide assistance in satisfying those needs and meeting or surpassing customers expectations Advise customers on product ranges best suited to their needs Demonstrate usage and benefits of various brands and products Generate sales, while achieving line and sales targets, using make up knowledge Sell-out target tracking at store level Generate daily sales reports Participate in achieving incentives Track post-launch sales at store level Ensure merchandising levels in the store are met as per the brand guidelines Ensure in store stock replenishment in the appropriate shelves/counters, at appropriate times Report stock shortages using the stock order form Ensure stock receipt as per set procedures<br><br>What You'll Need To Succeed<br><br>Proven expertise in makeup artistry, with strong knowledge of complexion, eye, and lip techniques across diverse skin tones and face shapes Demonstrated ability to deliver personalized makeup consultations, application services, and product recommendations that enhance the client experience Strong knowledge of current beauty trends, luxury retail standards, and premium customer service Fluent English communication skills (spoken); additional languages are an advantage<br><br>What We Can Offer You<br><br>With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.<br><br>We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.<br><br>What We Can Offer You<br><br>With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.<br><br>We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.<br><br>Using Gen AI in Your Application Process<br><br>To support a fair and consistent experience for all candidates, we ask that assessments and interviews are completed independently and without assistance from generative AI tools. This ensures we understand your strengths, your thinking, and how you approach real situations.<br><br>We Invite All Applicants to Apply<br><br>It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.<br><br>We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.

About the Role Neo Stats is hiring experienced Data Scientists to work on advanced analytics and machine learning engagements for leading retail banking clients in the UAE. We are looking for candidates with strong experience in either Marketing Analytics or Credit Analytics within Retail Banking. Experience across both areas will be an added advantage. This is a hands-on Data Science role focused on building, optimizing, validating and implementing machine learning models that directly support customer growth, credit decisioning, risk management and portfolio performance. Retail Banking experience is mandatory.<br>Key Responsibilities Build, validate, optimize and monitor machine learning models for retail banking use cases. Develop Marketing Analytics solutions including customer segmentation, propensity modelling, churn prediction, campaign targeting, cross-sell, upsell, next-best-action and customer lifetime value. Develop Credit Analytics solutions including application scoring, behavioral scoring, risk segmentation, early warning indicators, collections prioritization and portfolio risk analysis. Perform data exploration, feature engineering, model selection, hyperparameter tuning and model validation. Work with customer, transaction, product, campaign, bureau and credit performance data. Translate banking business requirements into practical Data Science and Machine Learning solutions. Collaborate with business, risk, marketing, technology and data engineering teams. Present model findings and recommendations to client stakeholders. Support model governance, documentation, validation and ongoing performance monitoring.<br>Required Skills & Experience5+ years of hands-on Data Science experience. Mandatory experience in Retail Banking Analytics. Strong experience in Marketing Analytics, Credit Analytics, or both. Proven hands-on experience building and optimizing Machine Learning models. Strong programming skills in Python and SQL. Experience working with large and complex banking datasets. Strong understanding of statistical modelling, feature engineering and model evaluation. Strong analytical and problem-solving skills. Good client-facing and stakeholder-management capabilities. Willingness to work from the client location in the UAE.<br>Preferred Skills Experience with Databricks, Dataiku, Azure or similar platforms. Exposure to MLOps, model deployment and model monitoring. Experience in campaign optimization, customer value management, collections analytics or portfolio risk management. Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline.<br>Candidate Eligibility Candidates currently based in UAE or India may apply. Candidates based in India should be willing to relocate to the UAE and work from the client location. Only candidates who can join immediately or within 30 days should apply.

<p>The <strong>Precast BIM Coordinator</strong> manages the BIM workflows, model exchange, and spatial integration for precast concrete manufacturing and installation projects. Sitting at the intersection of the main contractor's design team, precast structural engineers, factory production management, and site erection crews, this role ensures all 3D precast models align strictly with ISO 19650 standards and project BIM Execution Plans (BEP). The Precast BIM Coordinator leads cross-disciplinary clash resolution, enforces model data integrity (LOD 300 to LOD 500), and streamlines the digital thread from design modeling through CAM data extraction to final site placement.</p><p><strong>Key Responsibilities</strong></p><ul><li><p><strong>BIM Execution & Process Management</strong></p><ul><li><p>Implement and enforce project-specific BIM Execution Plans (BEP) across internal precast modeling teams and external sub-consultants.</p></li><li><p>Manage the Common Data Environment (CDE) setups (e.g., Autodesk Construction Cloud / Trimble Connect) for smooth IFC/RVT/NWD file exchanges.</p></li><li><p>Establish precast modeling standards, shared parameters, element naming conventions, and coordinate system setups (project base points).</p></li></ul></li><li><p><strong>Interdisciplinary Coordination & Clash Resolution</strong></p><ul><li><p>Conduct regular BIM coordination meetings with main contractors, MEP engineers, and architectural teams.</p></li><li><p>Perform automated clash detection checks (using Navisworks or Solibri) to identify spatial conflicts between precast elements, MEP cast-in sleeves, structural steel interfaces, and cast-in-place concrete.</p></li><li><p>Log, track, and assign Clash Reports and RFIs via CDE platforms to ensure timely resolution prior to factory mold assembly.</p></li></ul></li><li><p><strong>Production & Site Digital Integration</strong></p><ul><li><p>Verify that model data outputs accurately feed factory automated machinery (driving BVBS, Unitechnik, or DXF files for mesh welders and CNC plotters).</p></li><li><p>Coordinate 4D (Schedule/Erection sequencing) and 5D (Quantity take-offs/BOM) model integration to support production planning and transport logistics.</p></li><li><p>Support quality control by verifying as-built laser scan point clouds against the precast fabrication models for tolerance checks.</p></li></ul></li><li><p><strong>Quality Assurance & Team Oversight</strong></p><ul><li><p>Audit incoming sub-consultant models and internal team models for spatial accuracy, parameter completeness, and LOD compliance before production release.</p></li><li><p>Train and support precast detailers and BIM modelers on standard modeling workflows and platform updates.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Education: Bachelor’s Degree or Higher Diploma in Civil Engineering, Architectural Technology, BIM Management, or Construction Management.</p><p>Experience: 5–8+ years in BIM modeling and coordination, with at least 3 years focused on structural precast concrete projects and offsite manufacturing.</p><p>Software Mastery: Advanced expertise in Navisworks Manage, Tekla Structures, Autodesk Revit, Solibri Model Checker, and Autodesk Construction Cloud (ACC) / BIM 360 / Trimble Connect.Standards & ProtocolsIn-depth knowledge of ISO 19650 standards, COBie data structures, IFC schema/interoperability, and BEP formulation.Core CompetenciesMulti-party technical facilitation, automated clash detection matrix management, CAM/CNC data validation, 4D erection simulation.</p>

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced vps of finance who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for vps of finance 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

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced heads of fp&a who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for heads of fp&a 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

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced senior fp&a analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for senior fp&a analysts 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

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced corporate finance managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for corporate finance 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

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced finance business partners who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for finance business partners 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

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.)

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>,