project engineer

civil engineer

electrical engineer

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ai engineer

Magure Tech Middle East Ltd

Position: AI EngineerExperience: 2+ yearsLocation: Dubai, UAEOverview: We at Magure Tech Middle East Ltd are seeking a highly skilled AI Engineer who not only excels in building intelligent systems but also owns the complete lifecycle from development to deployment. You&rsquo;ll be part of a cutting-edge team working on AI-driven solutions, real-time data pipelines, and scalable ML products that make real business impact. We are looking for someone who is not just comfortable with writing models but is also proficient in production-level deployment, versioning, MLOps, and problem-solving through DSA.Roles &amp; Responsibilities: Development &amp; Model Engineering: <ul><li>Build, train, and optimize machine learning models for various domains.</li><li>Use techniques such as regression, classification, NLP, deep learning, and RAG (retrieval augmented generation).</li><li>Implement data structures and algorithmic approaches to optimize model performance.</li></ul>Deployment &amp; MLOps: <ul><li>Deploy ML models on cloud or containerized environments (Azure, AWS, GCP, Azure Container Apps, etc.).</li><li>Develop CI/CD pipelines using tools like GitHub Actions, Docker, MLflow, and Kubernetes for automated training and deployment.</li><li>Manage model versioning, logging, rollback, and monitoring.</li></ul>Collaboration &amp; Communication: <ul><li>Work with ML frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, Lang Chain, OpenAI API, and LLMA 3.</li><li>Use Azure-based tools like Azure Document Intelligence, Azure AI Search, and Azure OpenAI.</li></ul>Data Management: <ul><li>Automate data ingestion, validation (schema + drift checks), and preprocessing using Python and tools like Great Expectations.</li><li>Handle structured, semi-structured, and unstructured data from sources like MongoDB, SQL, PDFs, etc.</li></ul>Collaboration &amp; Communication: <ul><li>Collaborate with backend engineers, data scientists, and product managers.</li><li>Maintain clear documentation and contribute to knowledge-sharing sessions.</li><li>Provide technical mentorship to junior developers.</li></ul>Qualifications: <ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or equivalent.</li><li>2+ years of experience in building and deploying end-to-end ML solutions.</li><li>Strong command of Python and ML/DL frameworks (PyTorch, TensorFlow, Sklearn).</li><li>Hands-on experience with MLOps, CI/CD, containerization, and cloud deployments.</li><li>Strong understanding of Data Structures &amp; Algorithms (DSA).</li><li>Familiarity with modern/Traditional AI/LLM applications (e.g., RAG, LLM fine-tuning, chatbot systems).</li><li>Experience in building microservices or model APIs using FastAPI or Flask.</li></ul>Why Join Magure Softwares? <ul><li>Be part of AI solutions that drive real change.</li><li>Work in a collaborative, fast-paced, and technically exciting environment.</li><li>Opportunities to grow as a full-stack ML engineer, not just a data scientist.</li><li>Competitive compensation, high-impact roles, and a company that values innovation.</li></ul>Job Type: Full-timePay: AED10,000.00 - AED15,000.00 per month

AI Engineer

OneBullEx

<div><div>OneBullEx is transitioning into an AI exchange. As an AI Engineer in our Data &amp; AI department, you will not just manage tools; you will architect the autonomous systems that power our trading ecosystem. You will be responsible for deploying AI agents that can reason, execute code, and manage complex financial workflows with minimal human intervention.</div>
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li><div>Agentic System Development: Architect and deploy multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen to automate exchange operations (e.g., automated risk assessment, fraud detection, and 24/7 liquidity monitoring).</div>
</li><li><div>AI-Driven Software Engineering: Champion the use of Claude Code, OpenAI Codex, and Cursor to build and refactor exchange infrastructure. You are expected to use these tools to achieve a &quot;10x developer&quot; output, maintaining high-performance C++ or Python backends.</div>
</li><li><div>Protocol &amp; API Integration: Implement the Model Context Protocol (MCP) to allow AI agents to securely interact with our internal trading engines, real-time market data feeds, and third-party DeFi protocols.</div>
</li><li><div>Prompt Engineering &amp; Logic Tuning: Design sophisticated &quot;Chain-of-Thought&quot; and &quot;Plan-and-Execute&quot; reasoning paths to ensure agents remain reliable during high-volatility events in the crypto market.</div>
</li><li><div>Internal Tooling: Build custom internal AI dashboards that allow other departments (Risk, Ops, BD, Marketing etc.) to spin up their own specialized &quot;micro-agents&quot; for specific tasks.</div>
</li></ul><h3 class="jobSectionHeader">Candidate Requirements</h3>
<h4 class="jobSectionHeader">Technical Skills (The &quot;Must-Haves&quot;)</h4>
<ul><li><div>Latest AI Tooling: Deep, hands-on experience with Claude Code, Codex, and AI-native IDEs like Cursor.</div>
</li><li><div>Agentic Frameworks: Proven ability to build autonomous agents using LangGraph, AutoAgent, or Semantic Kernel.</div>
</li><li><div>Advanced Prompting: Mastery of ReAct, Few-Shot, and System Persona optimization to reduce hallucination in financial contexts.</div>
</li><li><div>Programming: Proficiency in Python (specifically for AI/ML libraries) and an understanding of Rust or Go (for high-frequency exchange environments).</div>
</li></ul><h4 class="jobSectionHeader">Preferred Background</h4>
<ul><li><div>Crypto/FinTech: Familiarity with futures trading, perpetuals, or blockchain data structures (Web3.js, Ethers.js).</div>
</li><li><div>Security First: Experience in &quot;Red Teaming&quot; AI agents to ensure they cannot be manipulated into unauthorized withdrawals or data leaks.</div>
</li><li><div>Education: Bachelor's or Master's in Computer Science, Mathematics, or a related quantitative field.</div>
</li></ul><h3 class="jobSectionHeader">The OneBullEx &quot;Edge&quot;</h3>
<ul><li><div>AI-Native Environment: We don't just use AI to write emails; we use it to run the exchange. You will have the freedom to experiment with the latest models (Gemini 3, GPT-5, Claude 4.5+) as they launch.</div>
</li><li><div>Competitive Package: Top-tier salary, performance bonuses tied to automation efficiency, and full relocation to the crypto-friendly hub of Dubai.</div>
</li><li><div>Remote Flexibility: While we have a core team in Dubai, we are open to elite talent working remotely in compatible time zones.</div></li></ul></div>

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 
 
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 
 
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 
 
 We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
 </li>
 <li>
 Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
 </li>
 <li>
 Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
 </li>
 <li>
 Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing
 </li>
 <li>
 Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
 </li>
 <li>
 Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
 </li>
 <li>
 Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of engineering experience
 </li>
 <li>
 Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
 </li>
 <li>
 Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
 </li>
 <li>
 Solid understanding of cloud technologies, containerisation and building scalable AI applications
 </li>
 <li>
 Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
 </li>
 <li>
 Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
 </li>
 <li>
 Experience working with large datasets, particularly in relation to demand and supply forecasting
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience or strong interest in energy markets and trading strategies
 </li>
 <li>
 Understanding of weather forecasting, energy demand patterns, and production modelling
 </li>
 <li>
 Exposure to Natural Language Processing (NLP) or other related fields
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner allowance for office based employees
 </li>
 </ul>
</div>

Applied AI Engineer

Qode

Full Stack Data Scientist (Azure AI Engineer)Location: DubaiExperience: 8+ years (Data Science / AI Engineering / Applied ML)Job Type: Full-time
 Job Summary : We are looking for a highly capable Full Stack Data Scientist / Azure AI Engineer who can build end-to-end AI products: data + ML/DL/CV models + Agentic workflows + APIs + UI + scalable deployment on Kubernetes (AKS). The role requires deep expertise in the Azure AI ecosystem (Azure Machine Learning, Azure AI Foundry, Azure AI Search) and strong handson experience building AI agents using LangChain, LangGraph, and/or Microsoft Agent Framework, with Langfuse for tracing, evaluation, and observability. The ideal candidate has shipped production systems with measurable business impact and can operate them reliably through strong MLOps/LLMOps practices.
 Key Responsibilities1) End-to-End AI Product Delivery • Own delivery from problem definition → architecture → development → deployment → monitoring → iterative improvements. • Translate business needs into robust AI solutions with clear KPIs, timelines, and measurable outcomes. • Build AI applications that are secure, scalable, maintainable, and production ready.
 2) AI Agents & Agentic Workflows (Must-Have)• Design, implement, and orchestrate AI agents capable of planning, tool use, function calling, retrieval, and multi-step execution. • Build agent systems using: o LangChain for tool/function orchestration, retrieval, and integrations o LangGraph for stateful, multi-step, resilient agent workflows o Microsoft Agent Framework for enterprise-grade agent patterns and integrations Group IT • Implement agent patterns: routing, task decomposition, multi-agent collaboration, memory, verification, retries/fallbacks, and human-in-the-loop approvals. • Apply security & safety: prompt-injection defenses, tool permissioning, grounding/citations, policy checks, and audit logs.
 3) LLMOps / Observability / Evaluation (Langfuse) • Implement Langfuse (or equivalent) for: o prompt and trace logging, latency/cost monitoring o dataset-based evaluation, regression testing, and quality gates o feedback loops and continuous improvement of prompts/agents • Establish evaluation frameworks for RAG/agents: retrieval metrics, answer quality, hallucination checks, and guardrail effectiveness.
 4) Azure Machine Learning & MLOps (Must-Have) • Build/operate ML workflows using Azure Machine Learning: o training jobs, compute, environments, pipelines, MLflow tracking o model registry and promotion, managed online endpoints • Implement CI/CD for model + application releases and MLOps practices: versioning, reproducibility, automated testing, and retraining triggers.
 5) Azure AI Foundry & Azure AI Search (Must-Have) • Build GenAI solutions using Azure AI Foundry (prompt flows/orchestration, deployment integration, evaluation workflows). • Implement RAG pipelines using Azure AI Search: o ingestion/indexing of structured & unstructured data o vector + hybrid search, semantic ranking (where applicable), filtering, and relevance tuning o citations, metadata-based access control, and indexing automation
 6) ML/DL & Computer Vision (Strong Requirement) • Develop and deploy strong ML/DL solutions including Computer Vision: o classification, detection, segmentation, OCR/document understanding, anomaly/defect detection • Conduct experimentation, tuning, and optimization (performance, robustness, cost). • Productionize CV pipelines with monitoring and continuous improvement. Group IT
 7) Backend/API Engineering (FastAPI + Node.js) • Build production APIs for models and agents using FastAPI (Python) (async, OpenAPI/Swagger, auth, middleware, validation). • Build service orchestration and integrations using Node.js where appropriate. • Implement secure API patterns: authentication/authorization (Azure AD/RBAC patterns), rate-limiting, caching, and error handling. 8) Frontend Engineering (React) • Build modern UIs in React for AI applications (agent chat UI, dashboards, workflow screens). • Support streaming responses, citations, session memory, feedback capture, and user analytics.
 9) Kubernetes/AKS Deployment & Operations • Containerize services using Docker and deploy on Kubernetes (AKS preferred). • Implement scaling, rollouts, secrets/config management, ingress, and reliability patterns. • Set up monitoring/telemetry using Azure Monitor/App Insights (or equivalent), alerts, and runbooks.
 Required Skills and Qualifications Mandatory Certifications (Must) • AI-102: Microsoft Certified – Azure AI Engineer Associate • DP-100: Microsoft Certified – Azure Data Scientist Associate
 Core Technical Skills • Agents/Frameworks: Strong hands-on experience with LangChain, LangGraph, and Microsoft Agent Framework• LLMOps: Strong experience with Langfuse for tracing/evaluation/monitoring (or equivalent tooling, with Langfuse preferred). • Azure: Azure ML, Azure AI Foundry, Azure AI Search; plus Key Vault, Storage, App Insights/Monitor as needed.• Programming: Strong Python; API development with FastAPI; Node.js for services/integrations. • Frontend: React for production UI development.• ML/DL/CV: Proven hands-on depth in ML/DL and Computer Vision. • Deployment: Docker + Kubernetes/AKS. Group IT• Data: Strong SQL; experience with structured + unstructured data.]
 Proven Experience (Non-Negotiable)• Demonstrated end-to-end delivery of AI applications in production (build → deploy → operate), with measurable impact.
 Preferred Qualifications • Experience in real estate / construction domain AI use cases (valuation, forecasting, risk, customer support automation). • Exposure to graph databases (e.g., Neo4j) and vector search/vector databases for AI applications. • Extra certifications (nice-to-have): Azure Fundamentals (AZ-900), Azure Developer (AZ-204), Kubernetes (CKA/CKAD), Databricks ML.
 What Success Looks Like (Outcomes) • Delivered production-grade AI solutions end-to-end: data → model → agentic workflow → API → UI → AKS deployment → monitoring. • Established strong LLMOps with Langfuse: traceability, evaluation, cost controls, and reliability improvements. • Built reliable, secure, observable systems with measurable business impact (time saved, accuracy gains, automation rate, cost reduction). • Demonstrated strong ownership from POC to production and post-launch iteration.

Full Stack Data Scientist (Azure AI Engineer)

MultiBank Group

<div>
 
 Welcome to
 
 MultiBank Group
 
 , a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
 
 
 
 
 
 Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US $35 billion. As a heavily regulated institution with oversight from 17+ financial regulators across 5 continents, and recipient of over 70 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 We are seeking an experienced
 
 AI Data Engineer
 
 to design, develop, and deploy innovative data and machine learning solutions that drive customer engagement, retention, and lifetime value (LTV). This role will focus on building scalable data pipelines, predictive models, and GenAI-powered applications that enable more personalised trading experiences and support data-driven decision-making across the business.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Collaborate with the wider marketing department to build meaningful datasets and a centralised data warehouse that will be used for reporting across numerous teams, focused on customer retention and LTV.
 </li>
 <li>
 Develop and own machine learning solutions that specialise in customer personalisation to increase engagement and coordinate with marketing teams towards their strategy and execution across multiple channels, especially around predictive modelling, churn prediction and customer segmentation.
 </li>
 <li>
 Explore the capabilities of Gen AI to develop new apps for our traders that make trading easier and more personalised based on their preferences.
 </li>
 <li>
 Maintain a commercial acumen and find opportunities where technology can be used to increase customer engagement or automate internal tasks.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Requirements:
 
 
 
 
 
 <ul>
 <li>
 Strong expertise in SQL, comfortable with raw data and multiple high-volume datasets such as customer journey, marketing performance or product behaviour.
 </li>
 <li>
 Comfortable creating pipelines and automations with Python to connect multiple endpoints and APIs such as first party databases, marketing platforms or other data collection platforms.
 </li>
 <li>
 Expertise in using Python todeploy machine learning solutions end to end, especially around predictive modelling and customer segmentation.
 </li>
 <li>
 Previous experience in finding customer insights through data analysis, communicating it to different stakeholders and strategizing on how to increase customer engagement and LTV.
 </li>
 <li>
 Capable of creating applications using LLMs that summarise high volumes of data and knowledge of the latest Gen AI use cases.
 </li>
 <li>
 Previous exposure to
 
 ETL tools
 
 (e.g., dbt, AWS Glue) and cloud environments (preferably
 
 AWS, SageMaker
 
 ).
 </li>
 <li>
 Strong communication skills with the ability to present complex data insights to non-technical stakeholders and support business strategy.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Work with an industry-leading global financial institution.
 </li>
 <li>
 Competitive salary and comprehensive employee benefits.
 </li>
 <li>
 Opportunities for professional growth and career advancement.
 </li>
 <li>
 Collaborative, inclusive, and dynamic work environment.
 </li>
 <li>
 Commitment to innovation and professional excellence.
 </li>
 </ul>
 
 
 
 
 
 Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
 
 
</div>

AI Data Engineer

Zennova Realty Reql estate development L.L.C

Requirements:Automation &amp; AIProficiency in automation platforms such as n8n and antigravityExperience leveraging AI tools and applying prompt engineering techniquesKnowledge of LLM safety protocols and implementing technical guardrailsProgrammingStrong command of Python and C++Frontend DevelopmentReact.jsGSAPTailwind CSSBackend DevelopmentNode.js (Express.js / NestJS)Database ManagementPostgreSQLMySQLJob Type: Full-time

AI Automation Engineer

BRAIN

<div>About Brain Co.
Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley&rsquo;s leading builders &mdash; including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world&rsquo;s most important institutions - delivering impact on real-world problems.Our progress so far<ul><li>
Automated construction permitting for a sovereign government 80% faster, unlocking $375M+ in value</li><li>
Optimized supply chains for a leading global energy company 30% lower cost, 99% reliability, preventing $100M+ in losses</li><li>
Streamlined hospital patient care across national health systems 40% better outcomes, 80% less admin work</li><li>
Raised a $30M Series A from top investors</li><li>
Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks</li></ul>
At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.<h2 class="jobSectionHeader"> 
About The Role</h2>
As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.<h2 class="jobSectionHeader"> 
In This Role, You Will:</h2><ul><li>
Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.</li><li>
Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.</li><li>
Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.</li><li>
Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.</li><li>
Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.</li></ul><h2 class="jobSectionHeader"> 
You Might Thrive In This Role If You:</h2><ul><li>
Hold a BSc/Master&rsquo;s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.</li><li>
Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.</li><li>
Have at least a high level familiarity with the architecture and operation of large language models.</li><li>
Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.</li><li>
Possess a strong foundation in data structures, algorithms, and software engineering principles.</li><li>
Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.</li><li>
Can work collaboratively with cross-functional teams.</li><li>
Thrive in fast-paced environments where priorities or deadlines may compete.</li><li>
Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.</li></ul><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Competitive salary plus equity</li><li>
Daily lunches</li><li>
Commuter benefits</li><li>
401(k)</li><li>
Medical, Dental and Vision</li><li>
Unlimited PTO</li></ul><h2 class="jobSectionHeader">
Why Join Us</h2><ul><li>
Ship quickly, iterate constantly and see your work deployed at global scale</li><li>
Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more</li><li>
Accelerate your career with ownership based on impact, not tenure</li><li>
Earn competitive compensation + meaningful equity in a high-growth company</li><li>
Thrive in a culture built on speed, curiosity, and impact</li></ul>
If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.
This is a hybrid role based out of our Dubai office.</div>

AI/ML Engineer, Deployed

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AI/ML Engineer, Deployed