Your AI career in the UAE starts here

Salary Range - 20000 AED - 25000 AEDPriority will be given to Candidates - Experienced in Real Estate Pricing, Real Estate Research UAE.Type - Hybrid/RemoteCompany DescriptionProperty Dynamix is a real estate operating system for developers in Dubai and Abu Dhabi. We turn registered DLD and ADREC transactions into defensible decisions: unit pricing, pricing simulations, payment plans, land feasibility, new launch tracking, promotion monitoring and monthly market reports.Most platforms in this market sell data. We build what happens after it. A team of AI agents researches comparables, checks pricing against the market, and reviews its own work before a user sees it, with every figure traced back to registry records.Our AI analyst, MOIRA, answers market questions in plain language. Through Majlis, our connector, the same market data is available inside Claude and ChatGPT.Role DescriptionThis is a full-time, Hybrid/Remote AI Engineer role in Dubai.You won't be training neural networks from scratch. You'll build the agent systems that turn market data into answers people can act on, and the checks that keep those answers honest.What you'll work on:- Designing and building multi-agent workflows on Google's Agent Development Kit (Python), where each agent has one job and the results are orchestrated into a single answer- Tool calling with Gemini: defining tools, handling multi-round tool loops, structured outputs and response schemas- Writing and optimising BigQuery SQL over millions of registered transactions, and turning them into the tools agents call- Building guardrails that stop an AI from inventing numbers: grounding checks, claim verification, and gates that reject output a person should never see- Building evaluation harnesses and golden test sets, so we measure whether a change made MOIRA better or worse instead of guessing- Managing model cost and latency: choosing the right model per task, routing calls, and metering spend- Shipping to production on Google Cloud: Cloud Run jobs, Firebase Cloud Functions, scheduled pipelines- Extending Majlis, our MCP connector for Claude and ChatGPTQualificationsMust have:- Strong Python, and working TypeScript - Hands-on experience building LLM applications in production: tool calling, agents, structured output, prompt design- Solid SQL, ideally BigQuery, on large datasets- Experience with evaluation: you've built tests or scorecards for LLM output and used them to make decisions- Comfortable deploying and debugging on a cloud platform, ideally Google Cloud- You check your own work. You measure before you fix, and you can explain why something broke, not just that it now worksNice to have:- Google ADK, LangGraph or a similar agent framework- Model Context Protocol (MCP) servers- Firebase (Firestore, Auth, Cloud Functions)- Experience with real estate, pricing or financial data- Knowledge of the Dubai or Abu Dhabi property marketDegree in Computer Science, AI, Data Science or a related field, or equivalent experience shipping real systems.

General Summary:The Sr. Digital Delivery Specialist at EMSTEEL designs, builds and delivers advanced AI and machine-learning solutions that create measurable business value across the Group’s steel and building-materials operations. The role sits within the Digital Centre of Excellence and focuses on Generative AI, Agentic AI, Computer Vision, AI Digital Twins and productionizing models through modern MLOps practices applied to industrial use cases such as process optimization and predictive maintenance. Working end-to-end from use-case discovery and experimentation to deployment, monitoring and adoption. Essential Duties and Responsibilities:Partner with business stakeholders and SMEs to identify, qualify and prioritize high-impact AI/ML use cases aligned to EMSTEEL’s strategic objectives.Design, develop and deploy Generative AI solutions (LLM-based assistants, RAG pipelines, document intelligence, summarization and content generation) tailored to enterprise needs.Build Agentic AI systems — autonomous and multi-agent workflows that reason, plan, use tools and orchestrate tasks, including Agent-to-Agent (A2A) collaboration and protocols across enterprise applications.Deliver industrial AI use cases across the value chain — process optimization, predictive maintenance, quality prediction, energy and yield optimization, and anomaly detection for steel and building-materials operations.Develop and operationalize AI Digital Twin solutions that simulate, monitor and optimize plant assets and production processes in real time.Build Computer Vision solutions for defect detection, surface-quality inspection, safety monitoring and process automation on the shop floor.Develop, validate and optimize classical and deep-learning models for prediction, optimization, anomaly detection and process control.Implement robust MLOps practices: CI/CD for models, automated pipelines, feature stores, model registry, versioning, monitoring, drift detection and retraining.Engineer scalable data and AI pipelines on Databricks and integrate solutions across the Microsoft (Azure) stack and Dataiku.Own end-to-end AI project delivery — from proof-of-concept to production — ensuring quality, security, performance and on-time delivery.Drive AI adoption by embedding solutions in downstream applications, updating SOPs, enabling users and delivering relevant training and change management.Establish responsible-AI, governance, evaluation and guardrail practices for GenAI and agentic solutions (accuracy, safety, bias, data privacy and cost control).Communicate findings, model behavior and business impact clearly to both technical and non-technical audiences.Additional Duties and ResponsibilitiesContribute to the AI reference architecture, reusable components and internal best-practice standards.Stay current with emerging GenAI/agentic frameworks, foundation models and tooling, and pilot promising innovations.Mentor junior Sr. Digital Delivery Specialists and analysts and support a culture of experimentation and continuous learning.Knowledge, Skills and/or Abilities RequiredStrong hands-on experience in machine learning, deep learning and statistical modelling using Python (and SQL).Proven expertise in Generative AI LLMs, prompt engineering, RAG, embeddings, vector databases and fine-tuning.Experience building Agentic AI solutions and multi-agent / Agent-to-Agent (A2A) systems using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar.Experience delivering industrial AI use cases process optimization, predictive maintenance and AI digital twins.Hands-on Computer Vision experience (OpenCV, PyTorch/TensorFlow, object detection, segmentation, defect/anomaly detection).Solid MLOps capability MLflow, model deployment, containerization with Docker/Kubernetes, CI/CD, GitHub / GitHub Actions and model monitoring.Proficiency with Databricks (Spark, Delta Lake, Unity Catalog, notebooks) for large-scale data and ML workloads.Working knowledge of the Microsoft/Azure AI stack (Azure Machine Learning, Azure OpenAI, Azure AI Foundry, Fabric/Synapse) and Dataiku.Ability to translate business problems into technical solutions and communicate results effectively.Strong problem-solving, stakeholder-management and cross-functional collaboration skills.Minimum Requirements (Must Have):EducationBachelor’s / Master’s in Computer Science, Data Science, AI, Statistics, Engineering, Physics or Mathematics.Experience4+ years in data science / machine learning delivery.Demonstrated delivery of GenAI or agentic solutions to production.2+ years implementing cutting-edge AI/GenAI technologies.Exposure to manufacturing, heavy industry or steel operations.Experience with responsible-AI governance and LLMOps.Training / CertificationsCertifications in Machine Learning / AI, Databricks, Microsoft Azure AI or Dataiku.

About SteerAISteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transform operations and protect organizations' most important assets: their workforce.About the roleWe are seeking a Lead Robotics Engineer to own and grow our localization strategy across the autonomy stack. You will lead the localization team's technical direction, mentor engineers, and drive hiring — while remaining deeply hands-on with the core localization engine. This role is broad by design: rather than specializing in one sensor modality, you'll bring depth across LiDAR, GNSS/INS, visual, and sensor-fusion approaches, and know how to choose and combine the right one for the environment (open-road, GNSS-denied, indoor/structured, feature-sparse).Key ResponsibilitiesLead the technical roadmap for the localization stack, spanning sensor fusion, place recognition, mapping, and pose estimation — and set standards for architecture, testing, and code quality across the team.Design and implement state estimation pipelines (EKF/UKF, factor-graph/optimization-based) that fuse IMU, wheel odometry, GNSS/INS, LiDAR, and visual inputs for robust pose estimation in both structured and unstructured environments.Develop LiDAR-based localization and place-recognition methods (e.g., ScanContext, ICP, NDT, scan-matching against prior maps) for GNSS-denied or perceptually ambiguous environments (indoor, urban canyon, tunnels, parking structures).Implement and optimize graph-based and non-linear optimization solutions (Ceres, g2o, GTSAM) for global consistency, loop closure, and multi-sensor fusion.Design and implement VIO/visual-inertial localization algorithms where camera-based sensing is the appropriate modality, without treating it as the sole solution.Own hiring and technical interviewing for the localization team.Collaborate cross-functionally with perception, navigation, and controls teams.Stay current on state-of-the-art localization research, including differentiable optimization and learned approaches, and pragmatically evaluate where they add real value versus classical methods.Qualifications Optimization: Strong background in differentiable optimization.State Estimation: Proven expertise in non-linear optimization (Ceres, g2o, GTSAM) and Bayesian filtering for autonomous navigation.3D Geometry & Spatial Reasoning: Mastery of coordinate transformations, Lie groups/algebras (SO3, SE3), and 2D/3D geometry primitives.Map-Based Localization: Extensive experience in matching perception data to vectorized HD maps (Lanelet2, OpenDRIVE).Software Engineering: Expert-level Modern C++ (17/20) and Python, with a deep understanding of ROS 2 and performance-critical software design.What we offerWe offer a competitive salary, a comprehensive benefits package, and the opportunity to work alongside some of the brightest minds in the Autonomous Robotics industry. Our work culture is collaborative and inclusive, with a strong focus on innovation and personal growth.If you're passionate about advancing the frontiers of Autonomous Robotics and eager to leave a lasting mark in this domain, seize the opportunity and apply today to join us in sculpting the future of this dynamic field!

We're partnering with a leading organization in Abu Dhabi that is accelerating its AI adoption journey and is seeking an experienced AI Architect to lead the design, architecture, and implementation of next-generation AI solutions.📍 Location: Abu Dhabi, UAE (Onsite)📝 Contract: 12-Month Extendable Contract⏳ Availability: Immediate to 30 Days PreferredJob Overview:As an AI Architect, you will play a key role in shaping the organization's AI strategy and technology landscape. You will work closely with business and technology stakeholders to identify opportunities for AI-driven innovation, define scalable architectures, and deliver solutions that enhance operational efficiency, decision-making, and customer experience.This role requires a combination of strong cloud architecture expertise and proven experience delivering AI and machine learning initiatives in enterprise environments.Required ExpertiseStrong experience in Azure Architecture and cloud transformation programs.Define and lead enterprise AI architecture initiatives on Microsoft Azure.Proven track record delivering AI/ML solutions within enterprise environments.Experience implementing AI use cases such as intelligent automation, virtual assistants, conversational AI, predictive analytics, and Generative AI solutions.Expertise across Azure AI services, Azure Machine Learning, Azure OpenAI, and modern cloud-native architectures.Strong stakeholder management skills with the ability to engage both technical and business audiences.Experience designing solutions that balance scalability, security, governance, and business value.Highly DesirableGenerative AI, Large Language Models (LLMs), and Agentic AI solutions.Retrieval-Augmented Generation (RAG) architectures.Microsoft Copilot and Azure OpenAI implementations.MLOps, AI Governance, Responsible AI, and AI Security frameworks.Enterprise-wide AI transformation and innovation programs.

ResponsibilitiesJoin the Innovative BytePlus TeamThis is a once in a lifetime opportunity to join the world's fastest growing startup as well as the biggest unicorn by valuation. With ByteDance's vision to build global platforms of creation and interaction, BytePlus is devoted to developing innovative technologies and products for businesses to fuel their next wave of growth. It is the best time to join us and pave into the new era together!Responsibilities- Strategic Sales Partnership: Partner with regional Sales teams to identify, qualify, and shape Video, Image, and Multimodal GenAI (AIGC) opportunities, translating creative and business requirements into scalable solutions for stakeholders from C-level to engineering teams.- Multimodal Solution Delivery: Design and deliver AIGC solutions including text/image/video generation with brand consistency, Vision-Language Model (VLM) workflows for semantic analysis, and advanced prompt engineering or chaining.- Production Pipeline Architecture: Architect production-grade GenAI pipelines utilizing diffusion models, VLMs, and LoRA/adapter-based fine-tuning while using orchestration frameworks like ComfyUI and custom orchestrators.- Agentic Workflow Design: Develop agentic AIGC workflows where autonomous agents interpret intent, invoke generation analysis, and coordinate multi-stage tasks including retries and human-in-the-loop approvals.- Technical Advisory & Governance: Act as a trusted advisor on model selection trade-offs, cost and latency optimization, and critical governance topics such as IP protection, content safety, and watermarking.- Innovation & Lifecycle Ownership: Own AIGC POCs to ensure measurable outcomes, translate customer feedback into platform requirements to influence product roadmaps, and support post-sales success to drive upsell of advanced capabilities.QualificationsMinimum Qualifications- Bachelor’s degree or equivalent practical experience with 5+ years in a Solutions Architect, Pre-Sales Engineer, or similar customer-facing technical role.- Hands-on experience delivering image, video, or multimodal GenAI systems within real-world or production environments.- Strong background in cloud platforms, GPU workloads, and distributed systems.- Proven experience supporting enterprise customers across the Middle East and Africa (MEA) and United States (US) regions.- Comfortable operating in fast-moving, ambiguous environments with rapidly evolving GenAI technologies.- Strong technical and business judgment skills.- Turkish Language Proficiency: Turkish business proficiency is required. Turkish is required for managing stakeholders and business growth in the Turkish market and effective communication with clients and partners across Turkey.Preferred Qualifications- Computer Science or Engineering degree with deep expertise in Diffusion models, VLMs, and prompt engineering/chaining.- Practical experience building agentic GenAI workflows using orchestration platforms like n8n, including tool-calling, function execution, and stateful workflows.- Experience in multi-stage creative workflows, GPU inference optimization, and managing quality/latency/cost trade-offs.- Prior experience working with customers in Media, Entertainment, Advertising, Gaming, Ecommerce, and social platforms.- Background in solution architecture for AIGC platforms, VLM-driven systems, or AI infrastructure platforms.- Strong understanding of Public Cloud services, including GPU compute, edge delivery (CDN), and security for media pipelines.About UsFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​Why Join ByteDanceInspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.​As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.​Diversity & Inclusion​ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Senior Solutions Architect (Post-Sales)Venture-backed AI Infrastructure Scale-up📍 Location: UAE (Remote)💰 £200k OTE (£185k base + 10% bonus) + equity & benefitsAs Senior Solutions Architect, you'll be the technical partner enterprise customers rely on to deploy, run, and scale demanding AI/ML workloads on a modern GPU-accelerated platform. This is a hands-on, customer-facing role: you'll own complex deployments from first workshop to production, and turn tangled infrastructure requirements into architecture that actually holds up under load.Day to day you'll work alongside platform engineering, MLOps, data science, and infrastructure teams, guiding them through onboarding, tuning workload performance, and keeping large GPU clusters reliable and cost-efficient. When production misbehaves, you're the one leading the investigation and getting things back on track.It's a rare seat at a company operating right at the centre of the AI buildout, working with the frameworks and silicon most engineers only read about. If you're equally at home designing a multi-tenant ML platform, running a proof-of-concept, and troubleshooting distributed training performance at 2am, I'd like to hear from you.What you'll do & achieveDesign end-to-end AI/ML platform architectures across inference, training, and data pipelinesBuild reference architectures for GPU cluster deployment, model serving, and multi-tenant ML infrastructureEvaluate and recommend inference serving frameworks (vLLM, TGI, Triton, and similar)Advise on GPU fabric topology for distributed training (NVLink, InfiniBand, RoCEv2)Shape observability strategies across GPU metrics, OTel, eBPF, and cluster telemetryDeliver technical presentations, workshops, and proof-of-concept engagementsAct as the primary technical advisor and escalation point for your enterprise accountsMonitor and troubleshoot production: GPU utilisation, workload performance, cluster health, and costLead root cause analysis and remediation on the hard, cross-team issuesFeed insight back to Product and Engineering to influence platform capability and roadmapDocument reference architectures and implementation guides, and mentor others as the team growsWho you are8+ years in infrastructure, platform, or solutions engineering, with 3+ years focused on AI/ML infrastructure or MLOpsDeep Kubernetes expertise: cluster lifecycle, workloads, operators, RBACHands-on with NVIDIA GPU infrastructure (latest-generation accelerators preferred)Fluent in distributed training (NCCL, tensor and pipeline parallelism) and LLM inference serving (vLLM, TGI, and similar)Familiar with GPU Operator, MIG, SR-IOV, and high-performance network fabricsStrong scripting and automation skills (Python, Bash, Go preferred)Comfortable across AWS, Azure, or GCP, including networking, IAM, and managed KubernetesWorking knowledge of observability tooling (Prometheus, Grafana, OpenTelemetry)A credible communicator who can hold their own with engineers and executives alikeBonus points for Run:AI or Slurm experience, GPU scheduling and autoscaling, or certifications like CKA, CKAD, or a cloud Solutions Architect credential*Follow Scout Global for more roles like this*