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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>

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

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

Almorix Technologies LLC

Company DescriptionAlmorix Technologies is a leading IT solutions provider dedicated to driving innovation, efficiency, and growth in a digitally connected world. Specializing in technologies like Artificial Intelligence (AI), Internet of Things (IoT), Cybersecurity, Cloud Computing, and Big Data &amp; Analytics, Almorix delivers secure, scalable, and intelligent solutions tailored to diverse business needs. Serving industries such as Banking, Healthcare, Government, and Retail, we empower businesses to navigate digital transformation with agility, integrity, and technical expertise. Our mission is to act as a trusted partner and catalyst for digital acceleration, enabling businesses to achieve their strategic goals efficiently.Role DescriptionThis is a full-time AI/ML Engineer role, based on-site in Dubai, United Arab Emirates. The AI/ML Engineer will be responsible for designing, developing, and implementing machine learning models and data-driven solutions to solve complex business problems. Daily tasks include researching and developing algorithms, training neural networks, analyzing large datasets, and optimizing machine learning pipelines. Additionally, the role involves collaborating closely with cross-functional teams to deliver innovative and impactful AI-driven systems.Qualifications<ul><li>Strong foundation in Computer Science, Algorithms, and Statistics</li><li>Proficiency in designing and implementing Neural Networks and Pattern Recognition models</li><li>Solid understanding of Machine Learning and AI concepts, including predictive modeling</li><li>Ability to process and analyze complex datasets to derive insights</li><li>Experience with programming languages such as Python, R, or similar tools for AI/ML</li><li>Familiarity with frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn</li><li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field</li><li>Excellent problem-solving skills, innovation, and the ability to collaborate in a team environment</li><li>Knowledge of cloud technologies (like AWS, Azure, or GCP) is an advantage</li><li>Experience working in industries like Banking, Healthcare, or Retail is a plus</li></ul>Job Type: Full-time

AI ML Engineer

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in reinforcement learning approaches for advanced models. Your work will optimize decision-making and adaptive behavior to deliver enhanced intelligence, improved performance, and domain-specific capabilities for real-world challenges. You will work across a broad spectrum of systems, including resource-efficient models designed for limited hardware environments and complex multi-modal architectures that integrate data such as text, images, and audio.
We expect you to have deep expertise in designing reinforcement learning systems and a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to developing, testing, and implementing novel reinforcement learning algorithms and training frameworks. Your responsibilities include curating specialized simulation environments and training datasets, strengthening baseline policy performance, and identifying as well as resolving bottlenecks in the reinforcement learning process. The ultimate goal is to unlock superior, domain-adapted AI performance and push the limits of what these models can achieve in dynamic, real-world environments.
Responsibilities<ul><li>
Develop and implement state-of-the-art reinforcement learning algorithms designed to optimize decision-making processes in both simulated and real-world settings. Establish clear performance targets such as reward maximization and policy stability.</li><li>
Build, run, and monitor controlled reinforcement learning experiments. Track key performance indicators while documenting iterative results and comparing outcomes against established benchmarks.</li><li>
Identify and curate high-quality simulation environments and training datasets that are tailored to specific domain challenges. Set measurable criteria to ensure that the selection and preparation of these resources significantly enhance the learning process and overall model performance.</li><li>
Systematically debug and optimize the reinforcement learning pipeline by analyzing both computational efficiency and learning performance metrics. Address issues such as reward signal noise, exploration strategy, and policy divergence to improve convergence and stability.</li><li>
Collaborate with cross-functional teams to integrate reinforcement learning agents into production systems. Define clear success metrics such as real-world performance improvements and robustness under varied conditions and ensure continuous monitoring and iterative refinements for sustained domain adaptation.</li></ul><ul><li>
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D (with good publications in A* conferences).</li><li>
Proven experience with large-scale reinforcement learning experiments, including online RL techniques such as Group Relative Policy Optimization (GRPO), is essential. Your contributions should have led to measurable improvements in domain-specific decision-making and overall policy performance.</li><li>
Deep understanding of reinforcement learning algorithms is required, including state-of-the-art online RL methods and other gradient-based optimization approaches like policy gradients, actor-critic, and GRPO. Your expertise should emphasize enhancing policy stability, exploration, and sample efficiency in complex, dynamic environments.</li><li>
Strong expertise in PyTorch and relevant reinforcement learning frameworks is a must. Practical experience in developing RL pipelines, from simulation and online training to post-training evaluation and deploying RL-based solutions in production environments is expected.</li><li>
Demonstrated ability to apply empirical research to overcome reinforcement learning challenges such as sample inefficiency, exploration-exploitation tradeoffs, and training instability. You should be proficient in designing robust evaluation frameworks and iterating on algorithmic innovations to continuously push the boundaries of RL agent performance.</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

AI Research Engineer - Reinforcement Learning (100% Remote)

Global Aerospace

Are you passionate about Artificial Intelligence and technology innovation?Join us to contribute to impactful AI-driven projects and advanced software development initiatives. These opportunities are available for Emirati nationals.Open Positions:- AI Project Manager- Data Scientist- Machine Learning Engineer- AI Software DeveloperRequirements:- Degree in IT, Computer Science, AI, Data Science, Engineering, or a related field- Experience or strong exposure to AI projects or software developmentInterested candidates may share their CVs with mary.lorbes@gal.ae or recommend suitable profiles from their professional network.Job Type: Full-time

AI Technology Roles – Emirati Talents

Explore 226+ Ai engineer in United Arab Emirates this February. Find roles across top companies and apply now to boost your career.

226 ai engineer jobs IN United Arab Emirates

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AI/ML Engineer, Deployed

AI ML Engineer

AI Research Engineer - Reinforcement Learning (100% Remote)

AI Technology Roles – Emirati Talents