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applied ai engineer

Fuse Energy

<div><p>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 $210M 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.<br>
<br>
We&rsquo;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.<br>
<br>
But we&rsquo;re not stopping there. We&rsquo;re also building the Energy Network: a decentralised platform of smart devices to electrify our 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.<br>
<br>
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.</p><br>
<br>
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>
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively<br>
<li>
</li></ul><br>
<br>
<b>Requirements</b><br>
<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><p><b>
Bonus</b></p><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><br>
<b>
Benefits</b><br>
<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

TALENTMATE

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  About Revolut
  <br/>
  <br/>
 </strong>
 People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 75+ million customers get more from their money every day.
 <br/>
 <br/>
 As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The Product team shapes the experiences that power Revolut. They turn complex problems into simple, scalable solutions &mdash; collaborating across Design, Engineering, and Data to build features our customers love.
 <br/>
 <br/>
 We&rsquo;re looking for a Lead Applied AI Engineer who can manage their product roadmap, including day-to-day operations, project execution, and risk assessment.
 <br/>
 <br/>
 From conception to launch and beyond, you&rsquo;ll collaborate cross-functionally and communicate with senior management to be the go-to person for your product.
 <br/>
 <br/>
 Up to shape what's next in finance? Let's get in touch.
 <br/>
 <br/>
 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Owning the product vision, strategy, and roadmap for AI-powered solutions, leveraging LLMs and other machine learning technologies
  </li>
  <li>
   Collaborating closely with Data Scientists and Software Engineers to deliver impactful solutions
  </li>
  <li>
   Leading cross-functional teams to build and deploy NLP and AI solutions, such as AI assistants and AI automation platforms
  </li>
  <li>
   Setting your team's goals, success metrics, and roadmap to align with company goals
  </li>
  <li>
   Delivering measurable results for sophisticated products under ambiguous situations in a fast-paced environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience developing and launching AI products/features from scratch
  </li>
  <li>
   High analytical and technical acumen, along with solid business sense and problem-solving skills
  </li>
  <li>
   Experience in a data science or machine learning role
  </li>
  <li>
   Experience owning machine learning projects, from design to implementation and iteration
  </li>
  <li>
   Great Python, SQL, or other programming language skills
  </li>
  <li>
   Hands-on experience with deep learning libs (TensorFlow, Keras, PyTorch, etc.)
  </li>
  <li>
   Knowledge of version control, model deployment, and developer environments
  </li>
  <li>
   Evidence of impressive mathematical and statistical knowledge
  </li>
  <li>
   An entrepreneurial drive to never settle
   <br/>
   <br/>
  </li>
 </ul>
 Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
 <br/>
 <br/>
 <strong>
  Important Notice For Candidates
  <br/>
  <br/>
 </strong>
 Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
 <br/>
 <br/>
 <ul>
  <li>
   Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.
  </li>
  <li>
   Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We won't ask for payment or personal financial information during the hiring process.
 </strong>
 If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
 <br/>
 <br/>
 By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
 <br/>
 <br/>
 Job Details
 <br/>
 <br/>
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.revolut.com Job Function: Engineering Company Industry/
 <br/>
 <br/>
 Sector: Other
 <br/>
 <br/>
 What We Offer
 <br/>
 <br/>
 <strong>
  About The Company
  <br/>
  <br/>
 </strong>
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 <br/>
 <br/>
 Report
 <br/>
 <br/>
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>


Global Software Solutions Group

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a Senior Software Engineer with a strong combination of backend engineering depth, applied AI experience, and blockchain/digital assets expertise. This role sits at the intersection of enterprise fintech and emerging technology &mdash; you will be building and scaling systems that matter, in an environment where your work has real-world financial impact.
 <br/>
 <br/>
 If you have spent years writing production-grade Node.js, have crossed into AI-integrated systems, and have hands-on experience with blockchain development and smart contracts &mdash; this role was built for you.
 <br/>
 <br/>
 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Designing and building scalable, high-availability REST and GraphQL APIs using Node.js and TypeScript
  </li>
  <li>
   Integrating AI/ML capabilities into backend services and fintech workflows
  </li>
  <li>
   Developing and deploying smart contracts for digital asset and crypto use cases
  </li>
  <li>
   Contributing to blockchain architecture decisions, protocols, and digital asset infrastructure
  </li>
  <li>
   Working within distributed microservices ecosystems &mdash; troubleshooting, optimizing, owning
  </li>
  <li>
   Collaborating across CI/CD pipelines, containerized environments (Docker, Kubernetes), and cloud platforms (AWS/Azure)
  </li>
  <li>
   Driving security-first development practices including JWT, OAuth, and SSO implementation
  </li>
  <li>
   Operating in an Agile environment with cross-functional squads
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  What You Need to Bring
  <br/>
  <br/>
 </strong>
 <em>
  Mandatory:
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   8+ years of professional software engineering experience
  </li>
  <li>
   5+ years of hands-on Node.js and JavaScript in production environments
  </li>
  <li>
   Minimum 1 year in TypeScript
  </li>
  <li>
   Demonstrable AI/ML integration experience in real production systems &mdash; not just familiarity
  </li>
  <li>
   Blockchain development experience: smart contract development, digital assets, crypto protocols
  </li>
  <li>
   Solid understanding of Kafka, message queues, and event-driven architecture
  </li>
  <li>
   Experience with Docker and Kubernetes in production
  </li>
  <li>
   REST API design and GraphQL proficiency
  </li>
  <li>
   Banking, fintech, or financial services background strongly preferred
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Strong advantage:
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Experience with Solidity or other smart contract languages
  </li>
  <li>
   Exposure to DeFi protocols, tokenisation, or digital asset custody platforms
  </li>
  <li>
   API gateway experience (3Scale or equivalent)
  </li>
  <li>
   Familiarity with regulatory and compliance considerations in digital finance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 Degree or postgraduate qualification in Computer Science, Engineering, or a related field &mdash; or equivalent demonstrated experience.
</div>


Senior Software Engineer - Node.js, AI & Blockchain

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Your key responsibilities
 <br/>
 <br/>
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 To qualify, you must have
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 6 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Applied Scientist

EDUHUB MANAGEMENT CONSULTANCIES CO.

<p><b>AI &amp; Automation Trainer </b></p><p><b>Location:</b> Dubai, UAE<br/><b>Employment Type:</b> Part-Time (Online)<br/><b>Organization:</b> International Institute of Digital Marketing Studies (IIDMS)</p><p>About the Role</p><p>IIDMS is seeking an experienced and industry-focused <b>AI &amp; Automation Trainer</b> to deliver our flagship <b>Certified Applied Generative AI &amp; Automation Professional (CAGAP)</b> program.</p><p>The ideal candidate should possess hands-on expertise in Generative AI tools, Prompt Engineering, AI-powered productivity solutions, and business automation applications. The trainer will be responsible for delivering practical, business-oriented training to working professionals and corporate learners.</p><p>Key Responsibilities</p><ul><li>Deliver instructor-led training for the Certified Applied Generative AI &amp; Automation Professional (CAGAP) program.</li><li>Conduct practical workshops, demonstrations, and hands-on exercises using leading AI platforms.</li><li>Guide learners in applying AI tools to real-world business scenarios.</li><li>Support participants in developing AI-powered workflows and automation projects.</li><li>Develop and update training materials, assessments, case studies, and learning resources.</li><li>Evaluate learner progress and provide mentoring throughout the program.</li></ul><p>Required Expertise</p><p>Candidates should have strong practical experience in:</p><ul><li>Generative AI Fundamentals</li><li>ChatGPT, Google Gemini, Claude AI, Microsoft Copilot, Perplexity AI, and NotebookLM</li><li>Prompt Engineering and Prompt Optimization</li><li>AI-Powered Content Creation</li><li>AI for Business Communication and Productivity</li><li>Research and Report Generation using AI</li><li>Workflow Automation Concepts</li><li>No-Code and Low-Code Automation Tools</li><li>AI Applications in Marketing, Sales, Customer Experience, and Business Operations</li><li>AI Governance, Ethics, Security, and Responsible AI Practices</li></ul><p>Preferred Qualifications</p><ul><li>Bachelor's or Master's degree in Business, Information Technology, Computer Science, AI, or a related field.</li><li>Minimum 3 years of AI training, consulting, or implementation experience.</li><li>Experience delivering corporate training programs and professional certification courses.</li><li>Strong presentation, facilitation, and communication skills.</li><li>Relevant certifications in Artificial Intelligence, Generative AI, Automation, or Digital Transformation.</li></ul><p>What We Are Looking For</p><ul><li>Ability to simplify complex AI concepts for business professionals.</li><li>Strong understanding of practical business applications of AI.</li><li>Experience conducting interactive workshops and project-based learning.</li><li>Passion for emerging technologies and continuous learning.</li></ul><p>Apply Now</p><p>Interested candidates may submit their updated CV and relevant certifications to:</p><p><b>Email:</b> hr@eduhubinstitute.com</p><p><b>Subject:</b> Application &ndash; AI &amp; Automation Trainer</p><p>Only shortlisted candidates will be contacted.</p><p>Work Location: In person</p>

AI & Automation Trainer

Brain Co.

<div>
 <strong>
  About Brain Co.
  <br/>
  <br/>
 </strong>
 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
 <br/>
 <br/>
 <ul>
  <li>
   Automated construction permitting for a sovereign government &rarr; 80% faster, unlocking $375M+ in value
  </li>
  <li>
   Optimized supply chains for a leading global energy company &rarr; 30% lower cost, 99% reliability, preventing $100M+ in losses
  </li>
  <li>
   Streamlined hospital patient care across national health systems &rarr; 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
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   This is a hybrid role that can be based in either our Abu Dhabi or Doha office
  </strong>
 </em>
</div>


AI/ML Engineer, Deployed

New York University

<div>Position Summary:
<div><b>
Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.</b></div><div></div><div><br>
New York University Abu Dhabi (NYUAD) seeks to appoint a Director, Research Technology and AI Enablement reporting to Chief Infomation Officer.</div><div></div><div><br>
The Director, Research Technology and AI Enablement, leads NYU Abu Dhabi IT&rsquo;s strategy and delivery of research technology services and institutional AI enablement and support. This role establishes a cohesive IT framework that enables faculty, researchers, students, and administrative units to leverage advanced technologies to advance discovery, innovation, and operational excellence.</div><div></div><div><br>
In the domain of research technology, the Director serves as a strategic partner to the research community, aligning IT capabilities with evolving research needs across disciplines. The role ensures that research computing environments, specialized technologies, and support models are secure,, scalable, and responsive, enabling faculty and research teams to effectively pursue computational, data-intensive, and technologically advanced research.</div><div></div><div><br>
In parallel, the Director leads NYUAD IT&rsquo;s AI enablement and support agenda, serving as the campus&rsquo; central point of IT leadership and expertise for artificial intelligence. This includes guiding responsible adoption, partnering with academic and research AI leads in shaping institutional strategy, and fostering cross-functional collaboration across academic, administrative, and professional education domains. The Director represents IT at institutional AI governance groups and is responsible for ensuring IT&rsquo;s support capabilities to these groups.</div><div></div><div><br>
The Director also works closely with NYUAD&rsquo;s Executive Education and HR learning and development teams to advance AI literacy and applied learning for both external and internal communities.</div><div>
By combining operational excellence in research technology with forward-looking IT leadership in AI, the Director ensures NYU Abu Dhabi remains at the forefront of digitally enabled research, applied AI, and institutional innovation.</div><div></div><div><b><br>
Key Responsibilities:</b></div><div></div><div><i><br>
Research Technology Strategy, Services &amp; Faculty Partnership
</i></div><ul><li>Serve as the primary IT partner to faculty and research centers, translating research needs into effective technology solutions</li><li>
Develop and execute a research technology strategy that aligns with institutional priorities and supports a wide range of disciplines</li><li>
Establish service models that enable responsive, high-quality support for computational, experimental, and technology-enabled research</li></ul><div><i>
Research Computing Infrastructure &amp; Platforms</i></div><ul><li>
Oversee the design, delivery, and lifecycle management of research computing environments (including partnering with the Center for Research Computing to support the NYUAD HPC), cloud-based platforms, and specialized research systems</li><li>
Ensure infrastructure is scalable, secure, and optimized to support diverse research workloads and evolving methodologies</li></ul><div><i>
AI Enablement Strategy &amp; IT Leadership</i></div><ul><li>
Lead the development and execution of NYUAD IT&rsquo;s AI enablement and support strategy</li><li>
Serve as the IT leadership authority and advisor on AI, guiding adoption across academic, research, and administrative domains. Identify opportunities for AI-driven innovation and position IT as a key enabler of institutional transformation</li></ul><div><i>
AI Literacy, Workforce Enablement &amp; External Engagement</i></div><ul><li>
Partner with Executive Education and Human Resources to design and deliver AI education, training, and executive learning programs</li><li>
Promote AI literacy and the development of applied skills for faculty, staff, students, and external audiences, supporting workforce transformation and professional education initiatives</li></ul><div><i>
AI Innovation, Advisory &amp; Applied Enablement</i></div><ul><li>
Act as the IT &ldquo;go-to&rdquo; resource for AI, providing guidance, consultation, and partnership to AI leads and liaisons, faculty, researchers, and administrative units</li><li>
Support exploration and application of AI tools and approaches, helping stakeholders navigate rapidly evolving technologies and assess their relevance, risks, and value</li></ul><div><i>
Research Governance, Responsible AI &amp; Security Collaboration</i></div><ul><li>
Collaborate with Information Security, Risk, Compliance, and institutional governance stakeholders to support the responsible adoption of research technologies and AI capabilities across NYU Abu Dhabi</li><li>
Provide advisory support on AI technologies, research computing environments, and emerging technology risks. Partner with security and governance functions to align AI enablement initiatives with institutional policies, regulatory requirements, and responsible AI practices</li></ul><div><i>
Team Leadership &amp; Organizational Development</i></div><ul><li>
Lead and develop a multidisciplinary team of research technologists and AI specialists. Establish clear priorities, professional development pathways, and a culture of collaboration, innovation, and service excellence</li></ul><br>
<div></div>
Qualifications:
<div><b>
Required Education:</b></div><ul><li>
Master's degree in in Computer Science, Engineering, Information Technology, Data Science, or a related field</li></ul><div><b>
Preferred Education:</b></div><ul><li>
Doctoral degree or advanced research experience in a related field</li></ul><div><b>
Required Experience:</b></div><ul><li>
10+ years of progressive experience in research technology, research computing, or AI-related domains</li><li>
5+ years in a leadership role managing technical teams or research support services</li><li>
Experience supporting faculty-led research and computational workloads</li><li>
Demonstrated experience with AI technologies and their application in research or enterprise settings</li><li>
Experience working with cross-functional stakeholders in complex organizations</li><li>
Demonstrated knowledge of research computing environments and AI/ML technologies</li><li>
Familiarity with research compliance, privacy, and ethical technology use</li><li>
Ability to operate effectively in a complex, multicultural academic environment</li><li>
Strong understanding of research computing, HPC, and cloud platforms</li><li>
Familiarity with research governance, compliance, and institutional policy frameworks</li><li>
Ability to translate research needs into scalable technical solutions</li><li>
Strong leadership, communication, and stakeholder engagement skills</li><li>
Strategic thinking with the ability to balance innovation and operational sustainability</li></ul><div><b>
Preferred Experience:</b></div><ul><li>
Cloud platform certifications (AWS, Azure, GCP)</li><li>
AI/ML or advanced analytics certifications</li><li>
Project or program management certifications (e.g., PMP)</li><li>
Knowledge of emerging AI technologies, including generative AI</li><li>
Understanding of research collaboration platforms and digital research tools</li><li>
Ability to build partnerships across academic, administrative, and external organizations</li><li>
Experience balancing innovation with governance and institutional risk management</li></ul>
Additional Information:
<h6 class="jobSectionHeader"><b>About NYUAD</b></h6><div>
NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU&rsquo;s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.</div></div>

Director, Research Technology and AI Enablement - Information Technology

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