civil engineer

procurement engineer

electrical engineer

project engineer

civil site engineer

ml 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 that can be based in either our Abu Dhabi or Doha office</div>

AI/ML Engineer, Deployed

Oracle

<div>Qualifications &amp; Experience
<ul><li>8+ years of total experience, with 4+ years in AI/ML Engineering roles.
</li><li>Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
</li><li>Proven track record in Generative AI, LLMs, NLP, and AI agent development.
</li><li>Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
</li><li>Experience fine-tuning LLMs for domain-specific applications (e.g., Q&amp;A systems, auto-documentation, predictive insights).
</li><li>Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
</li><li>Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
</li><li>Familiar with MLOps, model governance, and CI/CD for ML workflows.</li></ul></div>
 <div>Key Responsibilities
<ul><li>Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
</li><li>Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
</li><li>Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
</li><li>Mentor teams on solution design, best practices, and delivery excellence for AI projects.
</li><li>Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
</li><li>Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
</li><li>Lead solution estimation, technical governance, and program oversight.
</li><li>Contribute to GTM initiatives, including customer-facing demos and proposal development.
</li><li>Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
</li>Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement. 
<li>
</li></ul><div></div>Core Competencies &amp; Technical Expertise
<ul><li>Enterprise Architecture &amp; AI Strategy
</li><li>Application Development (with focus on integrating AI into existing stacks)
</li><li>Multi-cloud &amp; Distributed Architecture (OCI expertise is a must; experience with AWS, Azure, or GCP also valuable)
</li><li>AI/ML Security &amp; Compliance
</li><li>DevOps &amp; Agile AI Delivery
</li><li>Integration &amp; Data Engineering Strategy
</li><li>Stakeholder Engagement &ndash; including Executive Leadership
</li><li>Program Oversight &amp; Governance
</li><li>Solution Design, Proposals, and Estimates
</li><li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.</li></ul></div>

Principal AI Architect – GenAI, LLMs & AI Agents

Marcura

<div>The Managed Port Calls team requires a Staff AI Engineer to drive AI innovation across our Marcura platform. This role exists to architect and deliver AI-powered features that enhance operational efficiency, predictive capabilities, and decision-making for stakeholders.
The role is hands-on execution&mdash;building production-grade AI systems, mentoring engineers on AI/ML best practices, and selecting appropriate technologies and frameworks. Working closely with product, backend, and data teams, you'll embed intelligence throughout the platform while ensuring our AI solutions are scalable, reliable, and deliver measurable business value.
Sample use cases that the role will require to build and manage:
<ul><li>Convert manual processes to fully automated processes</li>
<li>Partially automate processes when full automation is not achievable</li>
<li>Help improve efficiency for both operations team and customers</li>
<li>Reduce the amount of manual (especially repetitive) work mainly for operations team</li>
<li>Predict answers to questions based on an existing historical knowledge base</li>
<li>Predict costs based on historical knowledge</li>
<li>Chat bot style task automation</li>
</ul>
Requirements<ul><li>
Bachelor's Degree in Information Technology, Data Science, Machine Learning/AI, Computer Science or other relevant fields</li><li>
Minimum of 8 years of experience in relevant fields including data science and AI
</li></ul>Machine Learning &amp; AI:<ul>
<li>
Experience with LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith
</li><li>Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration</li>
<li>Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory management</li>
<li>Proven experience designing, training, and deploying ML models in production environments</li>
<li>Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines</li>
<li>Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).</li>
</ul>
Programming:<ul>
<li>
Strong coding skills in languages such as Python,
</li><li>Good to have programming experience in Java,</li>
<li>Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).</li>
</ul>
Cloud Computing:<ul><li>
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models. [Azure is the preference]</li></ul>
Software Development:<ul>
<li>
Understanding of software development life cycle (SDLC) and agile methodologies.</li>
<li>Experience with version control systems (e.g., Git).</li>
</ul>
Data Analysis:<ul><li>
Ability to analyze and interpret complex datasets.</li></ul>
Problem-Solving:<ul>
<li>
Strong analytical thinking to identify and solve operational inefficiencies.</li>
<li>Ability to design and implement AI-driven solutions.</li>
</ul>
Communication:<ul>
<li>
Ability to explain complex technical concepts to non-technical stakeholders.</li>
<li>Strong written and verbal communication skills.</li>
</ul>
Collaboration:<ul>
<li>
Experience working in cross-functional teams.</li>
<li>Ability to collaborate with other developers, data scientists, and business analysts.</li>
</ul>
Benefits<ul>
<li>
Competitive Salary and Bonus: We reward your expertise and contributions.</li>
<li>Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.</li>
<li>Marcura Wellness Zone: We value your work-life balance and well-being.</li>
<li>Global Opportunities: Be part of an ambitious, expanding company with a local touch.</li>
<li>Diverse, Supportive Work Culture: We&rsquo;re committed to inclusion, diversity, and a sense of belonging for all team members.</li></ul></div>

Generative AI Solutions Engineer

AI Architect – GenAI, LLMs & AI Agents

Northslope Technologies

<div>
 
 Role Description
 
 
 
 As a Forward Deployed Software Engineer at Northslope, you will be responsible for helping our customers solve their most valuable problems, working closely with stakeholders to conceive, architect, build, and maintain applications that make a measurable impact on their business. Day to day, you&rsquo;ll understand a customer&rsquo;s most critical objectives and build operationalized workflows on their enterprise data that end users actually use to make change within the business. You&rsquo;ll iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. As a Forward Deployed Engineer, you won&rsquo;t just ship code - you&rsquo;ll help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators.
 
 
 
 What We Look For
 
 
 
 <ul>
 <li>
 An obsession with helping your customer win, even when it goes beyond the original &ldquo;scope&rdquo;. You eat hard customer problems for breakfast and take pride in delivering solutions that actually drive value.
 </li>
 <li>
 Strong analytical abilities and problem-solving aptitude. You love breaking down complex problems and building end-to-end solutions that actually work.
 </li>
 <li>
 Proficiency in Python and/or Typescript. We build in these languages everyday.
 </li>
 <li>
 Ability to work independently and own outcomes autonomously. You'll always have support, but we're looking for teammates who want to be in the driver's seat and fully own their work.
 </li>
 <li>
 Demonstrated ability to build applications that use large structured and unstructured datasets in a production environment. We take a customer's data and make it valuable to them - this is our bread and butter.
 </li>
 <li>
 A track record of delivering real-world outcomes with code. As a software engineer, data scientist, or deeply technical analytics lead, you've helped an organization up its game through the software you've written and/or the analytical products you've built.
 </li>
 <li>
 Strong ability to collaborate with internal and external teammates with varying levels of technical proficiency. We embed with our customers and join their teams, you'll need both technical and people skills to succeed.
 </li>
 <li>
 Willingness to travel as-needed for client implementation work. Every project is different, but typically projects involve travel 10-33% of the time.
 </li>
 <li>
 Enthusiasm for working hybrid-in-person at our London, New York, Washington D.C or Denver offices and onsite with our customers.
 
 
 </li>
 </ul>
 
 Preferred But Not Required To Be Successful
 
 
 
 <ul>
 <li>
 A bachelor's or masters degree in Computer Science
 </li>
 <li>
 Experience with Palantir Foundry and/or AIP
 </li>
 <li>
 Experience delivering production ML and/or LLM-based solutions
 </li>
 <li>
 Experience delivering production frontend applications in React
 </li>
 <li>
 Experience with Spark and distributed compute.
 
 
 </li>
 </ul>
 
 Company Description
 
 
 
 Northslope builds custom products for ambitious organizations that are reinventing their industries - from the largest fortune 500 companies and governments to the smallest startups. We solve our customers' most mission-critical problems with unmatched velocity, bringing their disparate enterprise data into operator-centered workflows that move atoms in the real world and change how people approach their work each day.
 
 
 We build our products on the Palantir Foundry &amp; AIP platform, the world's first Enterprise Operating system. We focus on enterprise-wide data integration, practical deployment of ML and LLM solutions, and deep understanding of operator's pain points. We build ironman suits for operators, so they can better achieve their mission and deliver more value to the bottom line.
 
 
 At Northslope, we're built different. Traditional professional services companies are designed for years-long, cookie-cutter projects that stay the same day in and day out. We take pride in being more like a product startup than a traditional services firm. We value velocity, ingenuity, and grit, and we relentlessly focus on delivering tangible outcomes for our customers.
 
 
 We also have fun. We get to work on big, hard problems, in a fast-paced environment, alongside sharp teammates who help us continuously grow and delight in one another's successes. We offer full benefits and all the perks you'd expect of a modern tech startup, and are a distributed global team with hubs in London, New York, and Denver.
 
 
 
 Our Principles
 
 
 
 <ul>
 <li>
 Only Valuable Problems: Not every problem is worth solving. We work on the projects that will significantly improve our customers' bottom lines.
 </li>
 <li>
 Outcomes, Not Activity: We create value, not extract it. We focus on our business impact, not racking up billable hours.
 </li>
 <li>
 Forward Deployed Engineering: We never build in a vacuum. We go to the heart of the problem and build alongside our users.
 </li>
 <li>
 Expand the Possible: AIP &amp; Foundry are powerful. We keep our eyes on the horizon to spot new opportunities for value on the platform.
 
 
 </li>
 </ul>
 At Northslope, you'll get to build products that solve mission-critical problems at large customers across a variety of industries, alongside a team of sharp, high-horsepower, caring people who want to win. If you're looking for a fast-paced, high-growth environment and an opportunity to work on a wide array of big problems, we'd love to chat.
 
 
 
 Northslope is committed to building a strong, diverse team. We believe teams with a diversity of lived experience, background, and perspectives create better outcomes for our customers and are just more enjoyable to be part of. We are committed to creating and living a culture of diversity, equity, and inclusion throughout our work. We do not discriminate on the basis of race, national origin, religion, disability, pregnancy, age, military status, marital status, genetic characteristics or information, gender, gender identity, gender variance, or sexual orientation.
 
</div>

Forward Deployed Software Engineer

<div><h1 class="jobSectionHeader">About Brain Co.</h1>
Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant.
<h2 class="jobSectionHeader">About the Role</h2>
We&rsquo;re growing our AI Deployment team in Abu Dhabi and Doha. In this role, you'll work at the intersection of AI product delivery and customer engagement helping define, shape, and drive AI-powered solutions that address mission-critical challenges in finance, energy, and government sectors.
You&rsquo;ll collaborate closely with data scientists, engineers, and senior stakeholders to translate complex business needs into actionable technical solutions. As the voice of the customer, you&rsquo;ll lead agile delivery cycles, ensure high-quality outcomes, and foster long-term relationships built on trust and impact.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Define &amp; Prioritize Features: Work with customers to identify high-impact problems and define AI-driven product features to address them.</li><li>
Translate Business Needs: Convert customer requirements into clear technical specifications and use cases for internal teams.</li><li>
Lead Agile Delivery: Oversee agile sprints and project timelines, ensuring timely and high-quality solution delivery.</li><li>
Drive Adoption: Travel regionally to engage with users, onboard stakeholders, and gather direct product feedback for continuous improvement.</li><li>
Collaborate Cross-Functionally: Serve as the bridge between customers and internal teams including data scientists, engineers, and product leads.</li><li>
Act as Customer Champion: Build trusted relationships and ensure the long-term success of deployed solutions.</li></ul><h2 class="jobSectionHeader"> 
What We&rsquo;re Looking For</h2><ul><li>
Experience:<ul><li>
3-5 years in customer success, product management, delivery consulting, or technical account management.</li><li>
Experience at top-tier product or consulting organizations (e.g., Palantir, Google, Amazon, BCG, McKinsey, etc.)
</li></ul></li><li>Technical Fluency:<ul><li>
Strong understanding of AI/ML concepts, data workflows, and model deployment processes.</li><li>
Ability to discuss and assess technical trade-offs with engineering teams.</li></ul></li><li>
Communication &amp; Relationship Skills:<ul><li>
Proven ability to build rapport and trust with enterprise customers and senior stakeholders.</li><li>
Excellent written and verbal communication, including the ability to simplify technical details for non-technical audiences.</li></ul></li><li>
Execution &amp; Ownership:<ul><li>
Hands-on mindset with a bias for action and a strong sense of ownership.</li><li>
Experience managing agile product or project delivery cycles.</li></ul></li><li>
Mobility:<ul><li>
Willingness to travel within the region to meet customers and oversee deployments on-site.</li></ul></li></ul><h2 class="jobSectionHeader"> 
Why Join Us?</h2><ul><li>
Work on transformative AI projects with high-impact clients.</li><li>
Join a collaborative, mission-driven team at the forefront of applied machine learning.</li><li>
Operate in a fast-paced, agile environment with real-world outcomes.</li></ul></div>

AI Deployment Lead

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of work, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Technical Experience
 
 
 
 <ul>
 <li>
 Experience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow)
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Staff Data Scientist, Algorithms, ML

Explore 313+ Ml engineer in Dubai this February. Find roles across top companies and apply now to boost your career.