electrical engineer

mechanical engineer

civil engineer

qa/qc engineer

estimation engineer

ml engineer

Brain Co.

<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 &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
 
 
 </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.
 
 
 
 About The Role
 
 
 
 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.
 
 
 
 In This Role, You Will
 
 
 
 <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>
 
 You Might Thrive In This Role If You
 
 
 
 <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>
 
 Benefits
 
 
 
 <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>
 
 Why Join Us
 
 
 
 <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

Salient Group

<div>
 
 
 AI/ML Engineer (Mid, Senior, Lead)
 
 
 
 
 Location
 
 | Abu Dhabi/Dubai (Hybrid)
 
 
 
 Comp
 
 | $200k-$250k + Equity + Package
 
 
 
 Focus
 
 | Real-World AI Deployment Across Enterprise &amp; Operational Environments, AI Systems, LLM Applications &amp; Agentic Workflows
 
 
 
 
 
 We&rsquo;re working with a frontier AI company that builds and deploys AI systems for the world&rsquo;s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research&rsquo;s sake. This is applied AI, deployed in the real world.
 
 
 
 
 
 They are backed by some of the world&rsquo;s most respected founders and AI pioneers, and built a 70+ person team from tier-1 companies. Now, they&rsquo;re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.
 
 
 
 
 
 
 The Role
 
 
 
 As an AI/ML Engineer, you&rsquo;ll turn state-of-the-art models into production-grade systems that power national-scale change. You&rsquo;ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
 
 
 
 
 
 You&rsquo;ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
 </li>
 <li>
 Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
 </li>
 <li>
 Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
 </li>
 <li>
 Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
 </li>
 <li>
 Stay ahead of the curve: explore the latest GenAI, LLM, and reasoning research to push models from theory to practice.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You&hellip;
 
 
 <ul>
 <li>
 Have hands-on experience building GenAI or LLM-based applications (agents, RAG, reasoning models).
 </li>
 <li>
 Know your way around Python, PyTorch, JAX, or TensorFlow, with strong software engineering fundamentals.
 </li>
 <li>
 Can work across data pipelines, APIs, and production deployments with speed and precision.
 </li>
 <li>
 Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
 </li>
 <li>
 Want your work to matter to see it deployed across industries, governments, and communities.
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide.
 </li>
 <li>
 Elite peers: collaborate with engineers and researchers from tier-1 places.
 </li>
 <li>
 Move fast, own outcomes: you&rsquo;ll ship code in weeks, not quarters.
 </li>
 <li>
 Meaningful rewards: competitive comp, equity, and ownership tied to real impact.
 </li>
 <li>
 Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.
 </li>
 </ul>
 
 
 
 
 If you want to build AI that doesn&rsquo;t just predict but powers economies, saves lives, and redefines what&rsquo;s possible , this is where you do it.
 
 
 
 
 
 Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
 
</div>

Artificial Intelligence Engineer

Atain

<div>
 
 
 Sr. AI Engineer
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 Full-time
 
 
 
 
 Exp.:
 
 7-8+ Yrs.
 
 
 
 
 
 
 Key Skills:
 
 AI/ML, Azure, Databricks, Airlines Revenue management exp. is required
 
 
 
 
 
 
 Description:
 
 
 
 We are seeking an AI Engineer with strong experience in
 
 Azure Databricks
 
 and
 
 Airlines Revenue Management
 
 domain. The role involves designing and deploying AI/ML models that optimize pricing, forecasting, demand prediction, and revenue optimization for airline business functions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning and AI models on
 
 Azure Databricks
 
 .
 </li>
 <li>
 Work on airline revenue management use cases such as
 
 fare optimization, demand forecasting, seat inventory optimization, and dynamic pricing
 
 .
 </li>
 <li>
 Build scalable data pipelines using Spark, Databricks, and Azure Data Services.
 </li>
 <li>
 Collaborate with business and data teams to translate revenue management requirements into AI-driven solutions.
 </li>
 <li>
 Develop and maintain end-to-end ML lifecycle including data preprocessing, feature engineering, model training, validation, and deployment.
 </li>
 <li>
 Optimize model performance and ensure scalability in production environments.
 </li>
 <li>
 Integrate ML solutions with airline systems and analytics platforms.
 </li>
 <li>
 Monitor model performance and continuously improve accuracy and business impact.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5&ndash;10 years of experience in AI/ML or Data Science roles.
 </li>
 <li>
 Strong hands-on experience with
 
 Azure Databricks
 
 and Spark ecosystem.
 </li>
 <li>
 Solid experience in
 
 Python, SQL, and ML frameworks (Scikit-learn, TensorFlow, PyTorch, or similar)
 
 .
 </li>
 <li>
 Strong understanding of
 
 Airlines Revenue Management concepts
 
 (pricing, forecasting, yield management, demand optimization).
 </li>
 <li>
 Experience working with large-scale data pipelines and cloud-based data platforms (Azure preferred).
 </li>
 <li>
 Experience in building and deploying production-grade ML models.
 </li>
 </ul>
 
 
 
 
 
 It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 
 
 
 
 
</div>

Acenet consulting

<div><div>Experience: 5 to 8 years
 
Location: Abu Dhabi, Bengaluru, Gurgaon, Pune
 
Job code: 101532
 
Posted on: Jun 24, 2026 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
About the Role 
We are looking for a highly motivated AI/ML Engineer with hands-on experience in designing and developing intelligent AI-driven solutions. The ideal candidate should have strong expertise in Conversational AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), and Python-based application development. The role requires a curious mindset, strong analytical skills, and the ability to quickly learn and adapt to emerging AI technologies.
<div>Key Responsibilities: 
<ul><li>Design, develop, and deploy AI/ML solutions for enterprise applications.</li><li>Build and optimize Conversational AI solutions using Large Language Models (LLMs).</li><li>Create, test, and refine prompts to improve AI model performance and response quality.</li><li>Design and implement Retrieval-Augmented Generation (RAG) pipelines leveraging both structured and unstructured data sources.</li><li>Develop and maintain RESTful APIs to integrate AI services with business applications.</li><li>Perform web content extraction and data collection using screen-scraping/web-scraping techniques.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI solutions.</li><li>Troubleshoot, optimize, and improve existing AI models and workflows.</li><li>Stay updated with the latest advancements in AI/ML, Generative AI, and emerging technologies.</li></ul></div>
<div>Required Skills &amp; Qualifications: 
<ul><li>5&ndash;8 years of overall IT experience with at least 3&ndash;4 years of relevant experience in AI/ML development.</li><li>Strong proficiency in Python programming.</li></ul></div>
<div>Hands-on experience with: 
<ul><li>Conversational AI platforms and frameworks</li><li>Prompt Engineering / Prompt Creation</li><li>Retrieval-Augmented Generation (RAG)</li><li>Working with both structured and unstructured data sources</li><li>Experience in building and consuming REST APIs.</li><li>Experience with web page content extraction, web scraping, and screen-scraping techniques.</li><li>Strong problem-solving, debugging, and analytical skills.</li><li>Excellent communication and collaboration abilities.</li><li>Self-driven individual with strong curiosity, eagerness to learn, and a focus on delivering high-quality outcomes.</li></ul></div>
<div>Preferred Skills: 
<ul><li>Understanding of Agentic AI concepts and AI orchestration frameworks.</li><li>Exposure to multi-agent systems and workflow automation.</li><li>Experience with vector databases, embeddings, and knowledge retrieval systems.</li><li>with cloud platforms such as AWS, Azure, or Google Cloud.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

AI Engineer

Fecundity Technologies

Role Overview: The Senior AI Engineer leads the technical delivery of one or more AWA use cases end-to-end, from Agent Profile definition through to production UAT sign-off. You own the architectural decisions within your use case domain: agent graph topology, confidence calibration, HITL threshold negotiation with the business, and the regression testing regime. You mentor AI Engineers and are the primary escalation point for complex LangGraph, LLM, and evaluation challenges. You are expected to identify failure modes before they reach production and to drive the adoption of new AWA capabilities across the use case portfolio.Key Responsibilities<ul><li>Use case technical ownership: Own the technical delivery of one or more AWA use cases from discovery through production; define the Agent Profile, Use Case Manifest, Data Manifest, and Tool Authorisation Matrix for each use case.</li><li>Architecture and design: Design LangGraph agent graph topologies for complex multi-agent pipelines including Supervisor-Worker fan-out, parallel execution, state compression, and cross-document reconciliation (3-way match).</li><li>Confidence calibration and HITL thresholds: Lead the AI Metric Baselines calibration process: measure ECE, derive HITL routing thresholds empirically, present threshold recommendations to business and risk teams, and own the signed AI Metric Baselines table.</li><li>Test strategy ownership: Own and execute the full AWA IDP Test Strategy for your use cases: all four testing bands (Model/Prompt/Agent/Security, Adversarial, Integration, UAT) through to sign-off.</li><li>Agent Regression Testing: Maintain the Golden Dataset and Regression Dataset for your use cases; configure CI/CD regression pipeline gates; review regression results after every model or prompt change.</li><li>Mentoring and code review: Mentor AI Engineers; conduct substantive technical code reviews of agent graphs, prompts, and MCP tool implementations; maintain AWA coding standards.</li><li>Stakeholder engagement: Present model quality metrics, STP rates, and HITL rates to Ops leads and business owners; recommend threshold adjustments with data-backed rationale.</li><li>New capability adoption: Evaluate and prototype new AI capabilities (new Azure AI Foundry models, new LangGraph features, new RAG patterns) for incorporation into the AWA accelerator catalogue.</li></ul>Required Skills and ExperienceTechnical &mdash; Essential<ul><li>5+ years Python development; 2+ years in production AI/ML engineering</li><li>Deep LangGraph or equivalent agentic framework experience: graph topology, state management, conditional edges, checkpoint-based recovery</li><li>LLM evaluation expertise: F1 measurement against ground truth, Expected Calibration Error (ECE), hallucination detection, confidence calibration</li><li>Prompt engineering at scale: versioned prompts, sensitivity analysis, few-shot dataset curation, PMS governance</li><li>RAG architecture: hybrid retrieval (BM25 + vector), re-ranking, chunk citation, grounding verification</li><li>Azure AI Foundry or equivalent LLM inference platform: PTU, PAYG, token budget management, APIM integration</li><li>Workflow orchestration: Orkes Conductor or Temporal &mdash; HITL wait tasks, retry policies, compensating transactions</li><li>CI/CD pipeline integration for ML: Azure DevOps, MLflow experiment tracking, model registry promotion</li></ul>Technical &mdash; Advantageous<ul><li>Computer vision model deployment and evaluation (object detection &mdash; TPR/TNR/IoU)</li><li>Azure AI Document Intelligence: form recogniser, custom models, layout analysis</li><li>Kubernetes / AKS: workload identity, namespace isolation, KEDA autoscaling</li><li>Apache Iceberg, DuckDB, and data contract patterns</li><li>Banking domain knowledge: cheque clearing, trade finance, KYC, AML</li></ul>Qualifications<ul><li>Bachelor's degree in Computer Science, AI/ML, or equivalent; Master's preferred</li><li>Azure AI Engineer Associate or equivalent certification</li><li>Demonstrable production AI deployments &mdash; case studies or public work highly valued</li></ul>Pay: AED21,000.00 - AED30,000.00 per monthWork Location: In person

Senior AI Engineer

Klanik

<div>
 
 
 🚀
 
 Hiring: Machine Learning Engineer
 
 
 
 
 
 
 📍
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 We are looking for a talented
 
 Machine Learning Engineer
 
 to design, build, and deploy scalable machine learning models and AI solutions. This role combines model development, data engineering, and production deployment to deliver innovative, high-impact AI applications.
 
 
 
 
 
 🔹
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Model deployment using Docker, Kubernetes
 
 
 &bull; Model optimization (TensorRT, OpenVINO, ONNX, triton, sparsing, pruning)
 
 
 &bull; CI/CD pipelines for ML (Git, Jenkins, GitHub Actions)
 
 
 &bull; Integration with backend &amp; edge devices
 
 
 &bull; Performance tuning (latency, throughput, FPS)
 
 
 &bull; Monitoring model drift &amp; production performance
 
 
 &bull; Strong Python &amp; system design skills
 
 
 &bull; Experience with inference pipelines for video streams
 
 
 
 
 
 🔹
 
 Qualifications:
 
 
 
 
 
 
 Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, AI, or a related field.
 
 
 Additional qualifications, such as certifications or publications in the field of machine learning, are a plus
 
 
 
 
 
 🔹
 
 
 Years of Experience
 
 
 
 
 
 
 
 5 to 9 years of experience
 
 
 
 
 
 🔹
 
 
 Languages
 
 :
 
 
 
 
 
 
 &middot; English
 
 
 . Excellent communication, verbal and written skills.
 
 
 
 
 
 Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you!
 
 
 
 
 
 
 
 About KLANIK:
 
 
 
 
 
 
 
 Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 10 years.
 
 
 We support our clients with the creation and development of their new products and services around 4 main business lines:
 
 
 
 
 
 ➜ Information Technology and Systems (IT &amp; IS)
 
 
 ➜ DevOps and Cloud
 
 
 ➜ Big Data and AI
 
 
 ➜ Cybersecurity
 
 
 
 
 
 Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, the Middle East, and the Americas. Our Team is dedicated to offering our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values. We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 
 
 
 
 
 
 
 Being a &ldquo;KLANIK&rdquo;
 
 
 
 
 
 
 
 That means being an out-of-the-box thinker, a precursor who is keen to create, innovate, and collaborate in an environment where you can enjoy being yourself and be valued for your ideas. It&rsquo;s being part of a community of experts who have a passion for and stay abreast of the latest technologies.Do you feel like a technology pioneer, full of creative ideas, supported by strong know-how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 
 
 
 
 
 
 
 Our culture is our pride
 
 
 
 
 At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect, and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 
 
 Our community motto is that people give the best of them when they feel listened to, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 
 
 Being part of the Klanik community means relying on each other&rsquo;s, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 
 
 
 
</div>

Machine Learning Engineer

Northslope Technologies

<div>
 ⛰️
 
 About Northslope
 
 
 
 The generational companies of the next century will run on mission-specific AI software that compounds their competitive advantage, not commoditized SaaS. We purpose-build production AI applications that enable our customers to operate at the speed, scale, and margins of an enterprise software company, in any industry.
 
 
 We're building something fundamentally different: software that's as adaptable as the businesses it serves, created by engineers who understand both code and customer.
 
 
 🛠️
 
 The Role
 
 
 
 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're Looking 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 or New York hub 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>
 💛
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive base salary + equity in the form of stock options
 </li>
 <li>
 Comprehensive benefits package
 </li>
 <li>
 Flexible hybrid work environment
 </li>
 <li>
 The opportunity to build solutions, systems, and software from the ground up as we scale
 </li>
 <li>
 A small, tight-knit team where your contributions directly impacts our ability to execute on our mission
 </li>
 <li>
 Occasional travel (less than 10% of your time) for company off-sites where you'll connect with teams across our New York and London hubs
 
 
 </li>
 </ul>
 🛸
 
 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>
 One size fits none. Generic software fails the most important customers. We build for the specific &mdash; the exact industry, workflow, data, and competitive context of the company we're serving.
 
 
 </li>
 </ul>
 🚠
 
 Why Northslope
 
 
 
 At Northslope, we're built different. 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 yet kind 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 UAE.
 
 
 📬 We hope you&rsquo;re excited to join us and look forward to speaking with you soon.
 
 
 
 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

Explore 235+ Ml engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

235 ml engineer jobs In Abu Dhabi

AI/ML Engineer, Deployed

Artificial Intelligence Engineer

Artificial Intelligence Engineer

AI Engineer

Senior AI Engineer

Machine Learning Engineer

Forward Deployed Software Engineer