Model Jobs in UAE

<ul><li><p>Develop and maintain Revit MEP models for LV power, lighting, containment, earthing, and ELV systems.</p></li><li><p>Conduct clash detection with mechanical and structural models; coordinate resolution with relevant teams.</p></li><li><p>Extract electrical drawings, panel schedules, and cable schedules from Revit models.</p></li><li><p>Maintain model to project LOD requirements and BIM Execution Plan standards.</p></li><li><p>Support design team with model-based quantity extraction for procurement.</p></li><li><p>Participate in federated model coordination sessions with MEP and structural teams.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><br><ul><li><p>Bachelor's Degree in Electrical Engineering or equivalent.</p></li><li><p>5–9 years of electrical BIM modeling experience with a Tier 1 UAE MEP contractor.</p></li><li><p>Advanced Revit MEP (Electrical) proficiency; Navisworks and BIM 360 experience required.</p></li><li><p>Strong understanding of LV/ELV systems and UAE electrical authority requirements.</p></li></ul>

Role: ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a MLE Bench – ML Engineers to work on a part-time basis. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>Key Responsibilities:• Work with real-world ML codebases to support MLE Bench–style evaluation tasks• Build, run, and modify model training, evaluation, and inference pipelines• Prepare datasets, features, and metrics for ML benchmarking and validation• Debug, refactor, and improve production-like ML systems for correctness and performance• Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks<br>Required Skills & Qualifications:• Minimum 3+ years of overall experience as a machine learning engineer or software engineer (ML-focused)• Strong proficiency in Python for machine learning and data workflows• Hands-on experience with model training, evaluation, and inference pipelines• Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization)• Experience working with ML frameworks (e.g., PyTorch, Tensor Flow)<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 and evaluation of frontier AI systems. Candidates will collaborate with top AI researchers and engineers to design and solve challenging real-world ML engineering tasks.<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!

Whizz HR is hiring a Sales Executive – Architectural Model Making<br>Job Overview We are looking for a motivated Sales Executive to join our architectural model-making company. The ideal candidate should have previous sales experience in the real estate industry and a good understanding of property developments, developers, and project presentations. This role involves generating new business, maintaining client relationships, and promoting our high-quality architectural models to developers, architects, consultants, and contractors.<br>Key Responsibilities Generate new business opportunities and achieve monthly sales targets.<br>Build and maintain relationships with developers, real estate companies, architects, consultants, and contractors.<br>Meet clients to understand project requirements and present our model-making solutions.<br>Prepare quotations, proposals, and follow up on inquiries.<br>Coordinate with the production team to ensure client requirements are clearly communicated.<br>Attend meetings, exhibitions, and networking events to develop business.<br>Maintain an updated CRM and submit regular sales reports.<br>Ensure excellent customer service before, during, and after project completion.<br>Requirements<br>2–5 years of sales experience, preferably in real estate or a related industry.<br>Strong knowledge of the UAE real estate market.<br>Excellent communication, negotiation, and presentation skills.<br>Self-motivated, target-oriented, and able to work independently.<br>Share your Resume at Hello@whizzhr.com

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong> JOB SUMMARY / INTRODUCTION</strong></p><br><ul><li>To lead the engineering, architecture, and run-state ownership of the bank's enterprise AI &amp; Agentic Platform, ensuring it operates as a reliable, secure, observable, and bank-grade production platform supporting agents and AI workloads across the Group.</li><li>The role is the senior technical authority for platform engineering and architecture across the agentic runtime, model gateway, integration fabric, identity layer, and infrastructure backbone of the platform.</li><li>It operates in a two-in-a-box model with the existing Platform Product Owner to provide concurrent technical ownership and organizational resilience for the platform, with shared accountability for platform availability, performance, cost, security posture, and architectural evolution.</li><li>The role is deeply technical in nature, requiring hands-on engineering depth across distributed systems, agentic protocols, LLM infrastructure, identity and access management, and cloud-native platform engineering.&nbsp;</li></ul><p><strong> KEY RESPONSIBILITIES</strong></p><br><p><strong> Key Accountabilities — Platform Architecture</strong><br>&nbsp;</p><br><ul><li>Own the end-to-end technical architecture of the AI &amp; Agentic Platform's five-layer stack: Action Gateway, Agent Kernel, Control Plane, Knowledge Foundation, and the Users and Channels layer.</li><li>Architect and evolve the agentic runtime to natively support the emerging multi-protocol stack: Model Context Protocol (MCP) for agent-to-tool access, Agent-to-Agent (A2A) for inter-agent coordination and task delegation, Agent Communication Protocol (ACP) and equivalent emerging standards, ensuring the platform is interoperable with hyperscaler agent fabrics (Azure AI Foundry agents, AWS Bedrock Agents, Google ADK).</li><li>Design the platform's agent kernel, including agent lifecycle management, planning and reasoning loops, memory architecture (short-term, long-term, episodic), state management, session affinity, scratchpad persistence, and execution chains.</li><li>Architect the platform's knowledge foundation, including vector store selection and topology, hybrid retrieval (BM25, dense, graph), embeddings strategy, knowledge graph integration (FIBO, OWL, SHACL, SPARQL), context engineering, and grounding patterns.</li><li><p>Design the platform's control plane, including policy-gated execution, Know Your Agent (KYA) enforcement at runtime, agent registries, tool registries, capability discovery, evaluation pipelines, and tracing and lineage at agent and tool granularity.</p><br><p><strong>Key Accountabilities — Integrations &amp; Model Layer</strong></p><br></li><li>Architect and engineer the platform's LLM gateway and model abstraction layer, providing a unified interface across foundation model providers (Azure AI Foundry, AWS Bedrock, OpenAI, Anthropic, Google Vertex AI, Cohere) with intelligent routing, fallback, retries, prompt and response caching, semantic caching, rate limiting, token accounting, cost attribution, and tenant isolation.</li><li>Design model serving patterns for managed APIs, dedicated capacity (PTUs / provisioned throughput), and self-hosted open-weight models on GPU infrastructure (vLLM, TGI, Triton, or equivalent), with appropriate trade-offs across cost, latency, sovereignty, and compliance.</li><li>Lead the integration architecture between the AI Platform and the bank's core estate, including core banking, payments, treasury, credit and risk systems, the enterprise data platform (Azure, Cloudera, Databricks), enterprise APIs, ESB, event streaming (Kafka, Event Hubs), and the data product layer.<br>Design the action gateway as the bank's enforcement boundary for agentic action, including API mediation, contract enforcement, circuit breakers, idempotency guarantees, transactional safety, and audit-grade action logging.</li><li><p>Engineer the platform's tool layer and MCP server estate, including tool packaging, versioning, capability advertisement, schema enforcement, and runtime tool discovery across Wholesale, Retail, and Group functions.</p><br><p><strong>Key Accountabilities — Identity, Security &amp; Governance</strong></p><br></li><li>Architect and own the agent identity and workload identity model for the platform, including non-human identity (NHI) management, agent identity lifecycle, blended user-plus-agent identity for delegated actions, and the identity propagation chain across multi-agent flows.<br>Design the platform's authentication and authorization architecture, including OAuth 2.1 and OIDC flows for agent-to-tool and agent-to-API interactions, just-in-time credential issuance, short-lived token exchange, mTLS for agent-to-agent communication, and integration with the bank's enterprise IAM (Microsoft Entra ID, PAM, secrets management).</li><li>Implement zero-trust principles across the agentic stack, including least-privilege scoping per agent and per task, real-time policy evaluation, behavioral posture checks, and continuous authorization rather than static service-account-style access.</li><li>Engineer the platform's runtime governance controls, including KYA enforcement, prompt and output guardrails (PII, PHI, MNPI, prompt injection defense), sensitive action approval flows, and human-in-the-loop escalation patterns.</li><li>Harden the platform to meet CBUAE, internal model risk, and Group governance requirements, including auditability, lineage, data residency, model risk controls, third-party model governance, and OWASP LLM Top 10 alignment.</li><li>Key Accountabilities — Infrastructure &amp; Run-State</li><li>Lead the platform's cloud and infrastructure architecture across Azure (primary) and AWS, including infrastructure as code (Terraform), networking (private endpoints, peering, egress control), Kubernetes (AKS) and container orchestration, secrets management, and CI/CD pipelines.</li><li>Own platform Site Reliability Engineering (SRE), including SLO design, error budget management, observability (OpenTelemetry, traces, metrics, logs at agent and tool granularity), incident response, post-mortems, capacity planning, and cost governance for a growing fleet of agents and AI workloads in production.<br>Operate in genuine two-in-a-box with the existing Platform Product Owner, including shared on-call, shared roadmap ownership, and shared accountability for major architectural decisions, regulator conversations, and critical incidents.</li><li>Drive engineering excellence across the platform team, including testing discipline (unit, integration, evaluation, red-teaming), documentation, infrastructure as code maturity, operational readiness reviews, and technical mentorship of platform engineers.</li><li>Represent the platform in senior technical forums with Enterprise Architecture, Cyber, Model Risk, Internal Audit, and the Group CTTO's office on architecture and engineering matters.</li><li><p>Engage with hyperscale, model provider, and framework vendor technical teams on platform-level integration, performance, sovereignty, and cost optimization.</p><br><p><strong>REQUIREMENTS / QUALIFICATIONS</strong></p><br><p><strong>Technical Expertise</strong></p><br></li><li>Deep, current expertise in agentic AI architecture and the modern multi-protocol stack: Model Context Protocol (MCP), Agent-to-Agent (A2A), Agent Communication Protocol (ACP), and the engineering patterns required to build interoperable agentic systems on top of them at platform scale.<br>Strong hands-on knowledge of agent orchestration frameworks (LangGraph, Google ADK, LlamaIndex, Autogen, CrewAI, OpenAI Agents SDK, or equivalent), planning and reasoning loops, multi-agent coordination patterns, agent memory systems, and evaluation harnesses (RAGAS, OPIK, LangSmith, Promptfoo, or equivalent).</li><li>Deep technical knowledge of LLM serving and inference architecture, including managed model APIs (Azure AI Foundry, AWS Bedrock, OpenAI, Anthropic, Google Vertex AI), provisioned throughput / PTUs, self-hosted open-weight models, GPU scheduling, vLLM / TGI / Triton, KV-cache management, batching strategies, and the cost-latency-quality trade-offs that drive model selection.</li><li>Strong working expertise in LLM gateway and AI gateway architecture, including model routing, fallback and retry, prompt and semantic caching, rate limiting, tenant isolation, token accounting, and policy enforcement at the gateway boundary.</li><li>Deep experience in retrieval and knowledge architecture, including vector databases (pgvector, Azure AI Search, Pinecone, Weaviate, Qdrant, or equivalent), hybrid retrieval, reranking, embeddings model selection, knowledge graphs (FIBO, RDF, OWL, SHACL, Neo4j, Apache Jena), and context engineering at scale.<br>Strong grounding in agent and workload identity, including non-human identity (NHI) governance, agent identity lifecycle, OAuth 2.1, OIDC, SPIFFE / SPIRE-style workload identity, mTLS, just-in-time credentialing, secret-less architectures, and integration with enterprise IAM (Microsoft Entra ID, Azure AD, PAM platforms).</li><li>Deep proficiency in cloud-native platform engineering on Azure (preferred) and AWS, including Terraform, Kubernetes (AKS / EKS), Helm, service mesh (Istio, Linkerd), API gateways (APIM, Kong, Envoy), private networking, and policy-as-code (OPA, Azure Policy).<br>Strong programming proficiency in at least one of Python, Go, or Java, with active engagement in code reviews, design reviews, and platform-level engineering decisions.</li><li>Strong Site Reliability Engineering background, including production on-call, incident leadership, post-mortem discipline, SLO and error-budget design, capacity planning, and observability tooling (Open Telemetry, Prometheus, Grafana, Datadog, or equivalent) tuned for non-deterministic AI workloads.<br>Working knowledge of integration patterns relevant to banking platforms, including event-driven architectures (Kafka, Event Hubs), API gateways, ESB, ISO 20022, payment rails, and core banking integration patterns.</li><li>Strong grounding in security engineering for regulated industries, including OWASP LLM Top 10, prompt injection defence, model supply-chain security, secrets management, network segmentation, data residency, and audit logging.<br>Engineering Leadership &amp; Collaboration</li><li>Demonstrated ability to operate effectively in a two-in-a-box model with another senior technical owner, including shared accountability, shared on-call, and shared decision-making.</li><li>Track record of raising engineering standards across a platform team through standards, design reviews, documentation, and direct technical mentorship.<br>Strong written and verbal communication, with the ability to engage credibly with engineers, architects, risk and audit functions, hyperscaler and vendor technical teams, and senior business stakeholders.<br>Minimum Experience</li><li>10+ years in software and platform engineering, with significant time spent at senior, staff, or principal engineering / architect level.<br>Demonstrated production ownership of at least one platform serving multiple internal or external consumers at enterprise scale, ideally including agentic or LLM workloads.</li><li><p>Substantive experience in financial services, banking, or another comparably regulated industry.<br>Demonstrated SRE and on-call experience on a production platform with meaningful availability and operational requirements.<br>Track record of building, integrating, or operating LLM-based or agentic systems in production.</p><br><p><strong>Minimum Qualifications</strong></p><br></li><li><p>Bachelor's degree in computer science, Software Engineering, Electrical Engineering, or a related technical discipline.</p><br><p><strong>Preferred / Beneficial</strong></p><br></li><li>Master's degree (MSc / MTech / MEng) in Computer Science, Software Engineering, Distributed Systems, or a related discipline preferred.</li><li>Relevant professional certifications in cloud engineering (Azure Solutions Architect Expert, Azure DevOps Engineer Expert, AWS DevOps Professional, AWS</li><li>Solutions Architect Professional, Certified Kubernetes Administrator), security (CISSP, CCSP), or SRE considered an advantage.</li></ul><br> <b>About Us:</b><br> First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients.<br> <b>Life at FAB:</b><br> Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to "Grow Stronger." We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization<br> <b>Career Development:</b><br> FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development.<br> <b>Our Values:</b><br> At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication.<br> Join our team and be part of a journey to shape the future of banking.<br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> <p><strong>JOB PURPOSE:</strong><br>Update / Generate black oil and compositional simulation models with field development planning, short, and<br>long-term profiles. Conduct model sensitivities and prioritize development schemes applying best practices,<br>Uncertainty &amp; Risk assessment and economics. Undertakes reservoir simulation studies to attain stated<br>objectives and translate results into operational guidelines.</p><br><p><br>&nbsp;<strong>KEY ACCOUNTABILITIES:<br></strong>Job Specific Accountabilities</p><br><ul><li>Coordinates and works with Geoscientists on reservoir characterization and upscaling.</li><li>Builds sizable Full Field simulation models, history match and use them in predictions</li><li>Conducts quality check and consistency of simulation model, history match scenarios with respect to<br>geological model characteristics.</li><li>Develops characterization of reservoir fluids and Equation of State (EOS) modelling, calibration and<br>Convert simple black oil models to compositional. Diagnoses model convergence and run-time<br>problems.</li><li>Coordinates with Technical centre in designing IOR/EOR methods (WI, Immiscible GI, Miscible GI, and<br>Surfactant and polymer injection) to enhance recovery and pressure maintenance methods.</li><li>Applies different methods of reserves estimation using probabilistic and deterministic methods (Mbal,<br>DCA and simulation models sensitivities).</li><li>Identifies required action using simulation models for maximize recovery/meet current production<br>quotas, design, follow up, QC and analyse reservoir studies e.g. RCA, SCAL and PVT.</li><li>Conducts special simulation studies for Field Development optimization (well pacing, infill wells,<br>advanced wells, Pilots)</li><li>Applies multiphase flow in the reservoir, effective permeability concept and correlations for relative<br>permeability. Integrate pressure and production test results for reservoir simulation and management<br>decisions.</li><li>Contributes to reservoir monitoring program and data gathering with effective cost program to enable<br>collecting necessary data to help best reservoir management and reduce uncertainties.</li><li>Liaises with contractors conducting the study, analyses and reviews findings and actions study<br>recommendations. Participate in periodic update and validation of database with monthly<br>production/injection data and descriptions to display wells, reservoir and field performance for<br>appropriate distribution and Simulation model recalibration.</li></ul><p><strong>QUALIFICATIONS, EXPERIENCE, KNOWLEDGE &amp; SKILLS:</strong></p><br><p><br>Minimum Qualification</p><br><ul><li>Bachelor’s degree in Reservoir/Petroleum/Chemical Engineering or equivalent.<br></li></ul><p>Minimum Experience &amp; Knowledge &amp; Skills</p><br><ul><li>6-8 years of experience in reservoir engineering including oil and gas fields’ development management<br>and Full Field simulation studies (use software models).</li><li>Reservoir and Production Operations Knowledge.</li><li>Analytical Reservoir characterization (Material Balance) knowledge</li><li>Numerical reservoir simulation (Eclipse, Intersect)</li><li>Pressure Transient Analysis and Well Performance knowledge, PVT Modelling</li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the company Our client does AI match analysis for youth football.<br> Fixed cameras at the pitch record every session.<br> The models detect the events (passes, shots, goals), track the players, and read jersey numbers off low-res footage.<br> Academies and parents get match stats, highlights and a per-player record.<br> This is running today at a pilot academy in Dubai, on real matches, with paying pilots.<br> They are now taking the same stack into a second industry.<br> First customers are committed; details in conversation.<br> This hire owns the platform across both: making the live sports models better, and building the new product on the same foundations.<br> What you own • The shared CV platform, end to end: camera ingestion, detection and tracking, OCR, classification, and the reporting pipeline.<br> It powers a product in production today and a second one launching.<br> • From week one you ship to a live product: raising accuracy on the sports models with real users, while architecting the second industry's deployment on the same stack.<br> • Architecture: model selection and training strategy, annotation and dataset operations, evaluation methodology, the on-prem/cloud split.<br> • Shipping the new industry's first deployments, then hardening both products as one platform.<br> • Technical leadership of the engineering team we build under you.<br> Hiring process • Intro conversation: walk us through a CV system you built.<br> Decisions, failures, numbers.<br> • Technical deep-dive with senior engineers.<br> • Case study on real footage: spec and prototype a detection task.<br> • Founders' conversation, then offer.<br> The whole process inside two weeks for the right person Full-time.<br> Remote friendly: we hire the best person, not the nearest.<br> Working hours overlapping the Gulf, with travel to Dubai for installation and milestone weeks.<br> Competitive package plus options.<br> What we need to see • 5+ years building computer vision systems that ran in production.<br> Deployed systems with users, not notebooks.<br> • Strong Python and PyTorch, hands-on with modern detection and tracking (YOLO family, ByteTrack/DeepSORT or similar).<br> • Video pipeline experience: RTSP/IP cameras, scheduled or streaming inference, ffmpeg-level fluency.<br> • You have built datasets, run annotation operations, and measured models honestly against ground truth.<br> • You have fine-tuned open-source models (detection, OCR of the PaddleOCR/TrOCR class) and taken the next step: replacing them with your own models trained on validated annotations, with a working annotation-review loop.<br> • Fluent in the modern CV tooling ecosystem: Roboflow or equivalent for dataset and annotation operations, experiment tracking, model registries.<br> • Ownership temperament: you take a vague operational goal and return a working system without waiting for a spec.<br> Strong pluses • OCR, action recognition or pose estimation in production.<br> • Sports, retail, industrial or facility camera-analytics background.<br> • Edge deployment (Jetson or similar) and cost engineering of inference.<br> • Camera and IoT literacy: sensor and lens selection, PoE networking, ONVIF/RTSP, NVRs, weatherproof housings.<br> You can spec a site, not just a model.<br></span> </div>

<p><strong>Platform Sales Manager – KodeIt Ascend</strong> <br>Location: UAE with regular travel to Saudi Arabia <br>Type: Full-time</p><p> KodeIt Ascend is our AI-powered assessment and diagnostics platform for K-12 schools, aligned with the Saudi national assessment framework (NAFS) and built to support UAE curriculum and inspection standards (KHDA, ADEK, MoE). We're expanding rapidly across the UAE, Saudi Arabia, and the wider GCC — and we're looking for a high-calibre Platform Sales Manager to lead our growth across both markets.</p><p> This is a consultative, hunter-style role for someone who thrives selling platforms, not one-off products. You'll be the face of Ascend in front of school owners, principals, academic directors, and government-linked buyers across the UAE and KSA — confidently presenting both the commercial value and the academic impact of our AI-driven diagnostics.</p><p> <strong>About the Role</strong> As Platform Sales Manager, you will own the full sales cycle for KodeIt Ascend across the UAE and Saudi Arabia. You'll lead demos, shape proposals, navigate procurement, and close recurring-revenue platform deals. You must be equally comfortable discussing pedagogy, assessment, and learning outcomes with academic leaders as you are negotiating commercial terms with owners, group leadership, and procurement teams — while adapting your pitch to each market's regulatory and curriculum context.</p><br><p><strong>Key Responsibilities</strong></p><ul><li><p>Drive the end-to-end sales cycle across UAE and KSA: pipeline generation, discovery, demos, proposals, negotiation, and close.</p></li><li><p>Personally deliver platform presentations and walkthroughs for academic and commercial audiences in both markets.</p></li><li><p>Sell Ascend's platform model into private school groups, and navigate government / tender-based procurement processes specific to each market (e.g., KHDA/ADEK/MoE frameworks in the UAE; NAFS and Ministry of Education processes in KSA).</p></li><li><p>Position Ascend's AI-driven diagnostics and platform capabilities to diverse buyer needs, clearly articulating how the solution drives learning outcomes, operational efficiency, and regulatory compliance across different school models and jurisdictions.</p></li><li><p>Build strong relationships with school owners, principals, academic directors, heads of assessment, and MoE/KHDA/ADEK-linked stakeholders across the UAE and Saudi Arabia.</p></li><li><p>Achieve quarterly revenue and new-logo targets across both markets, with accurate CRM forecasting.</p></li><li><p>Collaborate closely with KSA country, academic, and product teams — as well as UAE-based leadership — to close deals and share market insights.</p></li><li><p>Represent Ascend at regional education events, conferences, and school-group forums across the GCC.</p><br></li></ul><p><strong>What You Bring</strong></p><ul><li><p>5+ years in B2B software / SaaS or platform sales — ideally EdTech or selling into the education sector.</p></li><li><p>Proven success closing recurring-revenue platform deals (not transactional product sales).</p></li><li><p>Strong academic literacy — confident presenting to educators and conversant in assessment, diagnostics, curriculum alignment, and learning outcomes.</p></li><li><p>Solid understanding of AI in education and ability to explain it credibly to buyers.</p></li><li><p>Fluent in English and Arabic (written and spoken) — essential for this market.</p></li><li><p>Deep knowledge of both the UAE and KSA/GCC education landscapes, including ownership structures, regulatory bodies (KHDA, ADEK, MoE), and procurement/tender processes.</p></li><li><p>A polished, consultative, data-driven sales approach, credible with C-level, owners, and academic leadership across culturally and regulatorily distinct markets.</p></li><li><p>Willingness and ability to travel regularly between the UAE and Saudi Arabia. </p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>A background in teaching, academia, or school leadership.</p></li><li><p>An existing network within UAE and/or Saudi school groups, operators, or education authorities.</p></li><li><p>Experience selling assessment, LMS, or curriculum platforms.</p></li><li><p>Familiarity with NAFS (Saudi national assessment framework), Saudi national curriculum standards, and UAE inspection frameworks (KHDA/ADEK).</p><br></li></ul><p><strong>What We Offer</strong></p><ul><li><p>A market-leading AI assessment platform in a fast-growing EdTech company, with a front-row seat to expansion across two of the GCC's largest education markets.</p></li><li><p>Competitive salary & performance-linked commissions.</p></li><li><p>The opportunity to help build and shape our UAE and KSA sales function.</p></li></ul>

ADIC is seeking a Quantitative Researcher to join the Strategy team. The successful candidate will play a key role in supporting ADIC's investment process through quantitative research, model development, and AI-driven solutions.<br><br>This role offers the opportunity to contribute to investment decision-making across both public and private markets by developing systematic signals, valuation models, and portfolio construction tools. The successful candidate will work closely with investment professionals across the Strategy team to enhance quantitative capabilities and support the development of innovative investment solutions.<br><br>Key Responsibilities<br><br> Generate and test alpha signals and factor ideas across asset classes using statistical and machine learning techniques. Conduct quantitative research and develop valuation models across both public and private markets. Design, backtest, and evaluate quantitative models, systematic strategies, and portfolio construction frameworks. Build and enhance risk models, performance attribution frameworks, and investment analytics. Develop end-to-end quantitative tools and applications to support investment workflows, from data ingestion through to deployment. Partner with investment professionals across the Strategy team to deliver research, model specifications, and quantitative insights. Drive AI and machine learning initiatives, identifying opportunities to enhance research and investment processes. <br><br>Requirements<br><br>Experience<br><br> Minimum 5 years of relevant experience in quantitative research, systematic investing, portfolio construction, asset allocation, or investment strategy. Experience conducting quantitative research across public markets, with exposure to private markets considered advantageous. Proven experience designing, backtesting, and implementing quantitative models or systematic investment strategies. Experience applying AI and machine learning techniques to financial datasets and developing production-ready analytical tools. <br><br>Education<br><br> Bachelor's degree in Finance, Mathematics, Engineering, Computer Science, Statistics, Physics, or another quantitative discipline. Master's degree or PhD is considered a strong advantage. <br><br>Technical Skills & Knowledge<br><br> Strong programming skills in Python or another object-oriented language, with experience developing production-quality code. Good understanding of quantitative modelling, time-series analysis, factor models, and portfolio optimisation. Experience with machine learning frameworks such as scikit-learn, Tensor Flow or PyTorch. Knowledge of SQL, cloud platforms, and Git-based development practices. Strong understanding of financial markets, including equities, fixed income, private markets, and their application to portfolio management and asset allocation. Excellent analytical and communication skills, with the ability to present complex quantitative findings to investment stakeholders.

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced monetization analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for monetization analysts with 5+ years in pricing strategy, revenue economics, or monetization analysis to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: price elasticity models and willingness-to-pay analyses, packaging and tiering recommendation decks, discount governance and deal desk guardrail spreadsheets, competitive price benchmarking summaries, revenue waterfall models and margin impact analyses, and pricing experiment readouts for executive stakeholders.<br><br>Compensation: $90/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 pricing strategy, revenue economics, or monetization analysis, with direct ownership of price elasticity models and packaging and tiering recommendations Advanced fluency in willingness-to-pay analysis, discount governance, and building revenue waterfall models in Excel or Google Sheets 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 pricing strategy, revenue economics, or monetization analysis, with direct ownership of price elasticity models and packaging and tiering recommendations Advanced fluency in willingness-to-pay analysis, discount governance, and building revenue waterfall models in Excel or Google Sheets Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

Role: Java Script Developer (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 Python + Full-Stack (JS) Developer to work on a full-time basis. The role involves designing, developing, and maintaining efficient, high-quality code to train and optimize AI models. You will work with US-based companies building commercial and research AI solutions.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality code to train and optimize AI models.• Conduct evaluations (evals) 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 (SFT), including creating and maintaining high-quality, task-specific datasets.• Collaborate with researchers and annotators to execute reinforcement learning with human feedback (RLHF) and refine reward models.<br>Required Skills & Qualifications:• Proficiency in Python, Java Script/Type Script, Node.js, Nest.js, React, Vue.js, or Angular.• Experience writing readable, reusable, and maintainable code.• Ability to conduct thorough peer reviews of code and documentation.• Knowledge of Docker for containerization and deployment.• Familiarity with performance measurement tools and methodologies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI industry, contributing to the advancement of frontier model capabilities. You will collaborate with cross-functional teams to improve model performance and product enhancements.<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: Full-Stack Developer (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 Java Script / Type Script Full-Stack Developer to work on a full-time basis. The role involves designing, developing, and maintaining efficient, high-quality code to train and optimize AI models. You will conduct evaluations to benchmark model performance and analyze results for continuous improvement.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality 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.• Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.• Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets.<br>Required Skills & Qualifications:• Proficiency in Java Script and Type Script for full-stack development.• Experience with Node.js for backend development.• Familiarity with Nest.js as a progressive Node.js framework.• Knowledge of front-end frameworks such as React, Vue.js, or Angular.• Ability to write readable, reusable, and maintainable code.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in AI technology, contributing to the advancement and deployment of powerful AI systems. You will collaborate with cross-functional teams to improve model performance and contribute to product enhancements.<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: Java Script Developer (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 Python + Full-Stack (JS) Developer to work on a full-time basis. The role involves designing, developing, and maintaining efficient, high-quality code to train and optimize AI models. You will work with US-based companies building commercial and research AI solutions.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality code to train and optimize AI models.• Conduct evaluations (evals) 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 (SFT), including creating and maintaining high-quality, task-specific datasets.• Collaborate with researchers and annotators to execute reinforcement learning with human feedback (RLHF) and refine reward models.<br>Required Skills & Qualifications:• Proficiency in Python, Java Script/Type Script, Node.js, Nest.js, React, Vue.js, or Angular.• Experience writing readable, reusable, and maintainable code.• Ability to conduct thorough peer reviews of code and documentation.• Knowledge of Docker for containerization and deployment.• Familiarity with performance measurement tools and methodologies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI industry, contributing to the advancement of frontier model capabilities. You will collaborate with cross-functional teams to improve model performance and product enhancements.<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: Java Script Developer (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 Python + Full-Stack (JS) Developer to work on a full-time basis. The role involves designing, developing, and maintaining efficient, high-quality code to train and optimize AI models. You will work with US-based companies building commercial and research AI solutions.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality code to train and optimize AI models.• Conduct evaluations (evals) 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 (SFT), including creating and maintaining high-quality, task-specific datasets.• Collaborate with researchers and annotators to execute reinforcement learning with human feedback (RLHF) and refine reward models.<br>Required Skills & Qualifications:• Proficiency in Python, Java Script/Type Script, Node.js, Nest.js, React, Vue.js, or Angular.• Experience writing readable, reusable, and maintainable code.• Ability to conduct thorough peer reviews of code and documentation.• Knowledge of Docker for containerization and deployment.• Familiarity with performance measurement tools and methodologies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI industry, contributing to the advancement of frontier model capabilities. You will collaborate with cross-functional teams to improve model performance and product enhancements.<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: Full-Stack Developer (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 Java Script / Type Script Full-Stack Developer to work on a full-time basis. The role involves designing, developing, and maintaining efficient, high-quality code to train and optimize AI models. You will conduct evaluations to benchmark model performance and analyze results for continuous improvement.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality 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.• Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.• Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets.<br>Required Skills & Qualifications:• Proficiency in Java Script and Type Script for full-stack development.• Experience with Node.js for backend development.• Familiarity with Nest.js as a progressive Node.js framework.• Knowledge of front-end frameworks such as React, Vue.js, or Angular.• Ability to write readable, reusable, and maintainable code.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in AI technology, contributing to the advancement and deployment of powerful AI systems. You will collaborate with cross-functional teams to improve model performance and contribute to product enhancements.<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: QA Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $42/hour<br>Role Overview:We are hiring for one of our clients, seeking a QA Specialist – AI Product Testing & Support to work on a contract basis. The role involves testing AI-powered products, identifying defects, and ensuring software reliability. Responsibilities include validating AI model outputs and supporting product development through structured testing.<br>Key Responsibilities:• Execute test plans for AI-driven product features, including regression and performance testing.• Document and report bugs, inconsistencies, or edge cases in AI model behavior.• Collaborate with AI engineers to reproduce and resolve technical issues.• Validate AI-generated outputs against predefined accuracy benchmarks.• Maintain detailed test case logs and update documentation for future reference.<br>Required Skills & Qualifications:• Experience in software quality assurance with a focus on AI or machine learning systems.• Knowledge of test automation tools and frameworks for AI model evaluation.• Familiarity with scripting languages such as Python or Java Script for test automation.• Ability to analyze AI model outputs and identify discrepancies.• Strong attention to detail and problem-solving skills in technical environments.• Experience working in remote or distributed teams is preferred.<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 scalability of high-performance AI products. Candidates will gain exposure to cutting-edge AI testing methodologies and tools.<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: QA Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $42/hour<br>Role Overview:We are hiring for one of our clients, seeking a QA Specialist – AI Product Testing & Support to work on a contract basis. The role involves testing AI-powered products, identifying defects, and ensuring software reliability. Responsibilities include validating AI model outputs and supporting product development through structured testing.<br>Key Responsibilities:• Execute test plans for AI-driven product features, including regression and performance testing.• Document and report bugs, inconsistencies, or edge cases in AI model behavior.• Collaborate with AI engineers to reproduce and resolve technical issues.• Validate AI-generated outputs against predefined accuracy benchmarks.• Maintain detailed test case logs and update documentation for future reference.<br>Required Skills & Qualifications:• Experience in software quality assurance with a focus on AI or machine learning systems.• Knowledge of test automation tools and frameworks for AI model evaluation.• Familiarity with scripting languages such as Python or Java Script for test automation.• Ability to analyze AI model outputs and identify discrepancies.• Strong attention to detail and problem-solving skills in technical environments.• Experience working in remote or distributed teams is preferred.<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 scalability of high-performance AI products. Candidates will gain exposure to cutting-edge AI testing methodologies and tools.<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: QA Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $42/hour<br>Role Overview:We are hiring for one of our clients, seeking a QA Specialist – AI Product Testing & Support to work on a contract basis. The role involves testing AI-powered products, identifying defects, and ensuring software reliability. Responsibilities include validating AI model outputs and supporting product development through structured testing.<br>Key Responsibilities:• Execute test plans for AI-driven product features, including regression and performance testing.• Document and report bugs, inconsistencies, or edge cases in AI model behavior.• Collaborate with AI engineers to reproduce and resolve technical issues.• Validate AI-generated outputs against predefined accuracy benchmarks.• Maintain detailed test case logs and update documentation for future reference.<br>Required Skills & Qualifications:• Experience in software quality assurance with a focus on AI or machine learning systems.• Knowledge of test automation tools and frameworks for AI model evaluation.• Familiarity with scripting languages such as Python or Java Script for test automation.• Ability to analyze AI model outputs and identify discrepancies.• Strong attention to detail and problem-solving skills in technical environments.• Experience working in remote or distributed teams is preferred.<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 scalability of high-performance AI products. Candidates will gain exposure to cutting-edge AI testing methodologies and tools.<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: QA Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $42/hour<br>Role Overview:We are hiring for one of our clients, seeking a QA Specialist – AI Product Testing & Support to work on a contract basis. The role involves testing AI-powered products, identifying defects, and ensuring software reliability. Responsibilities include validating AI model outputs and supporting product development through structured testing.<br>Key Responsibilities:• Execute test plans for AI-driven product features, including regression and performance testing.• Document and report bugs, inconsistencies, or edge cases in AI model behavior.• Collaborate with AI engineers to reproduce and resolve technical issues.• Validate AI-generated outputs against predefined accuracy benchmarks.• Maintain detailed test case logs and update documentation for future reference.<br>Required Skills & Qualifications:• Experience in software quality assurance with a focus on AI or machine learning systems.• Knowledge of test automation tools and frameworks for AI model evaluation.• Familiarity with scripting languages such as Python or Java Script for test automation.• Ability to analyze AI model outputs and identify discrepancies.• Strong attention to detail and problem-solving skills in technical environments.• Experience working in remote or distributed teams is preferred.<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 scalability of high-performance AI products. Candidates will gain exposure to cutting-edge AI testing methodologies and tools.<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: QA Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $42/hour<br>Role Overview:We are hiring for one of our clients, seeking a QA Specialist – AI Product Testing & Support to work on a contract basis. The role involves testing AI-powered products, identifying defects, and ensuring software reliability. Responsibilities include validating AI model outputs and supporting product development through structured testing.<br>Key Responsibilities:• Execute test plans for AI-driven product features, including regression and performance testing.• Document and report bugs, inconsistencies, or edge cases in AI model behavior.• Collaborate with AI engineers to reproduce and resolve technical issues.• Validate AI-generated outputs against predefined accuracy benchmarks.• Maintain detailed test case logs and update documentation for future reference.<br>Required Skills & Qualifications:• Experience in software quality assurance with a focus on AI or machine learning systems.• Knowledge of test automation tools and frameworks for AI model evaluation.• Familiarity with scripting languages such as Python or Java Script for test automation.• Ability to analyze AI model outputs and identify discrepancies.• Strong attention to detail and problem-solving skills in technical environments.• Experience working in remote or distributed teams is preferred.<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 scalability of high-performance AI products. Candidates will gain exposure to cutting-edge AI testing methodologies and tools.<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!

<p>MLOps Engineer (Freelance) Location: Abu Dhabi, Dubai, Fujairah, UAE (Hybrid) Contract Duration: Initial 6-Month Contract with possibility of extension Employment Type: Freelance / Independent Contractor About the Role We are seeking an experienced MLOps Engineer to join our team on an initial 6-month freelance contract. This is a hybrid role offering a combination of onsite and remote work. The successful candidate will play a key role in building, automating, and maintaining the infrastructure and processes required to deploy, monitor, and scale machine learning solutions in production environments. This opportunity offers the potential for extension beyond the initial contract period, subject to project requirements and performance. Key Responsibilities Design, implement, and maintain scalable MLOps frameworks and automated machine learning workflows. Build and manage CI/CD pipelines for machine learning model development, testing, deployment, and monitoring. Collaborate closely with Data Scientists, Machine Learning Engineers, Data Engineers, and DevOps teams to operationalize AI solutions. Deploy, monitor, and manage machine learning models in production environments. Develop and maintain model versioning, governance, and monitoring processes. Automate model retraining, validation, and deployment workflows. Ensure reliability, scalability, security, and performance of machine learning infrastructure. Implement logging, monitoring, and alerting mechanisms for model and platform performance. Optimize cloud infrastructure and resource utilization for AI/ML workloads. Troubleshoot and resolve issues related to model deployment, infrastructure, and data pipelines. Promote MLOps best practices and contribute to continuous improvement initiatives.</p><p>Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 4+ years of experience in MLOps, DevOps, Machine Learning Engineering, or a similar role. Strong experience with Python and machine learning lifecycle management. Hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML. Strong knowledge of CI/CD tools such as GitHub Actions, GitLab CI/CD, Jenkins, or Azure DevOps. Experience with containerization and orchestration technologies including Docker and Kubernetes. Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform. Understanding of infrastructure as code tools such as Terraform or CloudFormation. Experience with monitoring and observability tools. Strong knowledge of software engineering best practices, automation, and system reliability. Excellent analytical, troubleshooting, and communication skills. Preferred Qualifications Experience supporting Generative AI and Large Language Model (LLM) deployments. Familiarity with Databricks, Spark, and large-scale data processing platforms. Knowledge of Responsible AI, model governance, and compliance frameworks. Experience working in enterprise-scale production environments. Previous experience delivering projects within the UAE or GCC region. If you are passionate about building reliable and scalable machine learning platforms and enjoy working at the intersection of AI, cloud infrastructure, and automation, we would love to hear from you. Please note: This opportunity is open to freelancers/independent</p>