estimation engineer

qa/qc engineer

electrical engineer

electrician

planning engineer

ai engineer

ICEYE

<div>
 
 Role Highlights
 
 
 
 <ul>
 <li>
 Role: Forward Deployed AI Engineer
 </li>
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 Department: Forward Deployed Engineering
 </li>
 <li>
 Location: Sweden (Stockholm), Netherlands (Breda), Poland (Warsaw), UAE (Abu Dhabi), Germany (Berlin), Portugal (Lisbon), Greece (Athens)
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 Reports to: VP, Forward Deployed Engineering
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 Working type: Hybrid (On-site at customer locations approx. 50% of time)
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 Must be eligible and able to attain relevant national and NATO security clearances at the highest level.
 </li>
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 Must be based in-country and native level speaker of the country you're deploying to.
 
 
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 </ul>
 
 The Mission of the Forward Deployed AI Engineer
 
 
 
 In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You&rsquo;ll deploy ICEYE&rsquo;s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it&mdash;everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations.
 
 
 
 Who We Are
 
 
 
 ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
 
 
 ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
 
 
 ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
 
 
 Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
 
 
 
 Day To Day Responsibilities
 
 
 
 
 Platform Deployment &amp; Integration
 
 
 
 <ul>
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 Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers).
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 Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters.
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 Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools.
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 Troubleshoot deployment issues in disconnected environments without external internet access.
 
 
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 </ul>
 
 AI Solution Development &amp; Customization
 
 
 
 <ul>
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 Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis.
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 Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks.
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 Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language.
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 Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources.
 
 
 </li>
 </ul>
 
 Data Fusion &amp; Intelligence Workflows
 
 
 
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 Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT).
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 Develop automated workflows that correlate and cross-reference information across different data modalities.
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 Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs.
 
 
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 </ul>
 
 Customer Engagement &amp; Rapid Prototyping
 
 
 
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 Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems.
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 Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements.
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 Conduct hands-on training sessions on platform capabilities and AI workflow usage.
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 Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams.
 
 
 </li>
 </ul>
 What we are looking for
 
 
 
 Must Have Skills
 
 
 
 <ul>
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 3+ years hands-on software engineering building and deploying production systems.
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 Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust.
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 Hands-on experience with LLMs, prompt engineering, and RAG systems.
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 Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases.
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 Experience with Docker and deploying in secure / isolated / air-gapped environments.
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 Practical experience with APIs, data pipelines, and integrating systems in production,
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 Familiarity with Linux and basic Kubernetes operations.
 </li>
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 Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture.
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 Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators.
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 Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.
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 Willingness to travel 40&ndash;60% to customer sites within the region.
 
 
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 </ul>
 
 Nice To Have Skills
 
 
 
 <ul>
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 Experience in defense, intelligence, or government operational environments.
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 Deploying to on-prem data centers and/or air-gapped networks.
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 Familiarity with geospatial data, satellite imagery, or remote sensing.
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 Experience with MCP integrations, multi-agent systems, or agentic workflows.
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 Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD.
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 Understanding of intelligence analysis workflows and defense/government requirements.
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 Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS).
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 Background in solution engineering, technical consulting, or customer success.
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 Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups).
 
 
 </li>
 </ul>
 
 Application process
 
 
 
 <ul>
 <li>
 Talent Acquisition Interview
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 Take home task
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 Hiring Manager Interview
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 Hiring Team Interview
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 Offer Decision
 
 
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 </ul>
 
 Working at ICEYE
 
 
 
 At ICEYE, you&rsquo;ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
 
 
 
 How We Work (Our Values)
 
 
 
 
 Make the impossible possible:
 
 We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
 
 
 <ul>
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 Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the &ldquo;why&rdquo; behind decisions.
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 See the big picture: Stay close to what&rsquo;s happening across the company so you can make better decisions. Consider how your work affects others.
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 Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
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 Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
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 Have fun: What we do matters&mdash;and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
 
 
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 </ul>
 
 Benefits
 
 
 
 Our benefits are designed to support your health and wellbeing&mdash;at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
 
 
 
 Our commitment to Diversity, Equity and Inclusion
 
 
 
 We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
 
 
 We&rsquo;re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us&mdash;we&rsquo;ll do our best to help.
 
 
 Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com
 
 
</div>

Forward Deployed AI 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>
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 Automated construction permitting for a sovereign government &rarr; 80% faster, unlocking $375M+ in value
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 Optimized supply chains for a leading global energy company &rarr; 30% lower cost, 99% reliability, preventing $100M+ in losses
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 Streamlined hospital patient care across national health systems &rarr; 40% better outcomes, 80% less admin work
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 Raised a $30M Series A from top investors
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 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
 
 
 
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 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>
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 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.
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 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.
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 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>
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 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>
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 Have at least a high level familiarity with the architecture and operation of large language models.
 </li>
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 Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
 </li>
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 Possess a strong foundation in data structures, algorithms, and software engineering principles.
 </li>
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 Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
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 Can work collaboratively with cross-functional teams.
 </li>
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 Thrive in fast-paced environments where priorities or deadlines may compete.
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 Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
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 Competitive salary plus equity
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 Daily lunches
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 Commuter benefits
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 401(k)
 </li>
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 Medical, Dental and Vision
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 Unlimited PTO
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
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 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

arabic

<div>About the Opportunity
We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world&rsquo;s most ambitious applied AI programs.
This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.
This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.
Role Overview
We are looking for a Senior AI Product Engineer to own the end-to-end delivery of AI-powered products.
You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.
You should be comfortable working across the full stack&mdash;from Python-based AI systems and APIs to React frontends&mdash;and accountable for how your products perform in production.
At the senior level, you will:<ul><li>
Own AI product features from concept through production
</li><li>Build and optimize RAG pipelines and agent-based systems
</li><li>Develop backend services and modern user interfaces
</li><li>Make sound technical and product decisions
</li><li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow
</li></ul>Key ResponsibilitiesEnd-to-End AI Product Development<ul><li>
Design and build AI-powered assistants, copilots, and automation tools
</li><li>Architect Retrieval-Augmented Generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking
</li><li>Develop agent-based workflows with tool use, planning, and multi-step reasoning
</li><li>Build reusable AI components and integration libraries for multiple products
</li></ul>Full-Stack Engineering<ul><li>
Build React and Next.js interfaces with streaming responses and conversational experiences
</li><li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js
</li><li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant
</li><li>Instrument AI systems using Langfuse and Grafana for tracing and observability
</li></ul>Product Ownership &amp; Engineering Excellence<ul><li>
Evaluate product requirements and ensure solutions solve the right problems
</li><li>Optimize systems for reliability, latency, and user trust
</li><li>Document technical decisions and architecture clearly
</li><li>Mentor engineers and contribute to engineering best practices
</li></ul>Basic Qualifications<ul><li>
7+ years of software engineering experience
</li><li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers
</li><li>Strong proficiency in Python and experience building LLM-powered systems
</li><li>Solid React fundamentals, including state management, accessibility, and performance
</li><li>Experience building production APIs in Python, Java/Kotlin, or Node.js
</li><li>Working knowledge of PostgreSQL and relational schema design
</li><li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation
</li><li>Practical use of AI coding assistants such as Codex or Claude Code
</li><li>Strong system design, testing, debugging, and performance optimization skills
</li></ul>Preferred Qualifications<ul><li>
Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI
</li><li>Experience designing streaming APIs with SSE or WebSockets
</li><li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand
</li><li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines
</li><li>Familiarity with vector databases such as Qdrant or pgvector
</li><li>Experience working in government, public sector, financial services, or other regulated environments
</li></ul>Technology Stack<ul><li>
Frontend: React, Next.js, Tailwind CSS
</li><li>Backend: Python, Java, Kotlin, Node.js
</li><li>AI &amp; LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS
</li><li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage
</li><li>Observability: Langfuse, Grafana
</li><li>Infrastructure: Docker, Azure, CI/CD pipelines
</li><li>AI Development: Codex, Claude Code, OpenCode
</li></ul>What We&rsquo;re Looking For
You are an engineer who:<ul><li>
Takes ownership across the full product lifecycle
</li><li>Balances technical depth with strong product judgment
</li><li>Builds AI products that users trust in production
</li><li>Makes evidence-based decisions
</li><li>Communicates clearly and proactively
</li><li>Embraces AI-native development practices
</li></ul>Why Apply?
This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.
You&rsquo;ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</div>

Senior AI Product Engineer - Abu Dhabi

Dizzaract FZ LLC

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana 2.0, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEFAR Labs is building FAR AI &mdash; a high-performance decentralized AI inference network that transforms the global computing landscape by turning consumer and enterprise GPUs into a unified AI engine. Following a successful alpha launch in internet cafes across the UAE, we are scaling infrastructure to onboard large-scale gaming cafe fleets and top-tier data centers worldwide.We&rsquo;re looking for an AI Automation Engineer (Agent Systems Builder) who can design and deploy multi-agent systems that operate across the company &mdash; from internal workflows to product-level automation.This is a hands-on role focused on building structured, reliable AI systems. You will turn LLMs into coordinated agents that can reason, take action, and operate within defined environments.03. WHO YOU ARE<ul><li>LLM Engineer</li><li>You understand how language models actually work &mdash; tokenisation, logits, prompting, and system behaviour.</li><li>Agent Systems Builder</li></ul>You&rsquo;ve worked with or built multi-agent systems and understand orchestration, roles, and control flows.<ul><li>Automation Thinker</li></ul>You design systems that take action &mdash; not just generate outputs.You can wrap agents into APIs, manage integrations, and handle async workflows.You understand access control, permissions, and how to prevent unsafe behaviour in agent systems.04. RESPONSIBILITIES<ul><li>Backend Engineer</li><li>Security-Aware</li><li>Prompt Engineering &amp; System Design</li><li>Design structured, multi-layered prompt systems with context management, self-correction, and reliability controls.</li><li>AI Hub Development</li></ul>Build and configure internal AI systems (Claude, GPT, open-source models) connected to company data, tools, and APIs.<ul><li>Multi-Agent Architecture</li></ul>Design and implement hierarchical agent systems (orchestrators, specialised agents, execution layers) with clear responsibilities and control flows.Integrate AI agents with internal systems &mdash; CRM, databases, messaging platforms, CI/CD &mdash; enabling real actions and workflows.Build and maintain tools that allow agents to interact with external systems (APIs, services, internal infrastructure).05. REQUIREMENTS<ul><li>Integration &amp; Automation</li><li>Tooling &amp; Execution</li><li>Strong understanding of LLM internals (tokenisation, logits, temperature, system prompts, RAG).</li><li>Experience building or working with agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, or custom systems).</li><li>Strong backend experience (Python or TypeScript).</li><li>Experience building APIs, handling async workflows, and integrating external systems.</li><li>Experience implementing function calling, tools, and agent execution workflows.</li><li>Understanding of prompt security, injection risks, and hallucination control.</li><li>Experience integrating AI systems into real business processes or products.</li></ul>06. NICE TO HAVE<ul><li>Experience building multi-agent systems in production.</li><li>Experience integrating agents with CRM, databases, or CI/CD pipelines.</li><li>Experience with Model Context Protocol (MCP) or similar tooling approaches.</li><li>Experience working in fast-paced or AI-first environments.</li></ul>07. WHAT WE OFFER<ul><li>Real ownership and direct impact on a global AI infrastructure product</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team</li><li>Exposure to cutting-edge AI, distributed systems, and hardware-level optimization</li><li>Competitive salary with performance-based incentives</li><li>24 days annual leave, plus public holidays</li><li>Health insurance</li><li>Modern office in Yas Creative Hub</li><li>Continuous learning through real-world problem solving &mdash; not just theory</li><li>The opportunity to shape what you're working on and influence product direction</li><li>A diverse, open-minded team where ideas are genuinely heard</li></ul>08. HOW TO APPLYAs part of your application, please share:<ul><li>A diagram or description of a multi-agent system you've built (or would build).</li><li>An example of a complex prompt using tools/function calling.</li><li>Your approach to enforcing access control across agent systems.</li></ul>Application Question(s):<ul><li>Do you understand tokenization, logits, temperature, and their effect on LLM output behavior?</li><li>Have you ever implemented a Retrieval-Augmented Generation (RAG) pipeline from scratch (not using a managed service)?</li><li>On a scale of 1&ndash;5, how confident are you in building prompts resistant to injection attacks? (1 = not confident, 5 = expert)</li><li>Rate your understanding of API authentication methods (OAuth, API keys, JWT)? (1 = vague, 5 = expert)</li><li>Have you built a self-correcting prompt with an automated feedback loop?</li><li>Number of years of professional experience in LLM engineering (0, 1, 2, 3, 4, 5+).</li><li>Is your portfolio submission complete with all three requested items (diagram, complex prompt, access control thoughts)?</li><li>Have you built or deployed a multi-agent system (not just single-agent chatbots)?</li><li>Have you implemented function calling (tools) where an agent executes external APIs autonomously?</li><li>Number of production LLM automation projects you have shipped? (0, 1&ndash;2, 3&ndash;5, 6-8, 10+)</li><li>Have you integrated LLM agents with CRM, database, or CI/CD pipelines?</li><li>Can you build an API wrapper around an agent that handles async webhooks?</li><li>Rate your Python proficiency (1 = basic, 5 = architect-level)</li><li>Rate your TypeScript proficiency (1 = basic, 5 = architect-level)</li></ul>Work Location: In person

AI Automation Engineer / Architect of Agentic AI (Automator)

DICETEK LLC

<div>Senior Cloud Solutions Architect (Hybrid Cloud)
Role Overview: We are looking for a Senior Cloud Solutions Architect to serve as the primary visionary for our cloud-native banking platforms. You will design secure, scalable, and cost-effective architectures across both Azure and AWS. Your mission is to translate complex business requirements into technical designs that satisfy rigorous banking regulations, satisfy cybersecurity audits, and empower engineering teams to build with speed and safety.
Key Responsibilities:<ul><li>
Architecture Design: Create high-level and low-level design documents (HLD/LLD) for web and mobile-backend applications, ensuring high availability and disaster recovery (DR) capabilities.</li><li>
Hybrid-Cloud Governance: Establish organizational structures across cloud providers, including the segregation of environments using Subnets, Resource Groups (Azure), and Accounts/Organizations (AWS) according to the Principle of Least Privilege.</li><li>
Network Sovereignty: Architect complex network topologies featuring Hub-and-Spoke models, Private Link, Transit Gateways, and WAF/DDoS protection to ensure data never traverses the public internet unnecessarily.</li><li>
Security &amp; Compliance Advocacy: Act as the technical liaison to Cybersecurity, Data Management, and Corporate Risk teams. You must defend your designs under scrutiny, proving compliance with banking standards (e.g., PCI-DSS, ISO 27001, and central bank regulations).</li><li>
FinOps Strategy: Optimize the Total Cost of Ownership (TCO) by selecting the correct SKUs (e.g., Reserved Instances vs. Spot, Premium vs. Standard tiers) and ensuring resource tagging for accurate department billing.</li><li>
Technical Mentorship: Provide a &quot;North Star&quot; for Platform and DevOps engineers, ensuring that the implemented Infrastructure-as-Code (Terraform) aligns perfectly with your architectural blueprints.</li></ul>
Technical &amp; Professional Requirements:<ul><li>
Dual-Cloud Expertise: Professional-level certification in AWS (Solutions Architect Professional) or Azure (Solutions Architect Expert) is highly preferred.</li><li>
Network Engineering: Mastery of Cloud Networking (VPC/VNET peering, VPN Tunnels, Direct Connect/ExpressRoute, and Load Balancing) preferred.</li><li>
Security-First Mindset: Experience implementing Zero-Trust architecture, Identity Access Management (IAM) at scale, and encryption-at-rest/transit.</li><li>
Banking Domain Knowledge: Proven experience designing systems within the financial sector, with a firm grasp of audit trails, data residency, and risk mitigation.</li><li>
Stakeholder Management: Ability to influence C-suite executives and pivot technical language for business stakeholders while maintaining deep technical credibility with engineers.</li></ul>
Application Lifecycle: Strong understanding of modern application stacks (Microservices, Containerization/K8s, and Serverless).</div>

Sr. AI Ops Engineer - Hybrid / Cloud Agnostic

EIGER MARVEL HUMAN RESOURCES CONSULTANCIES

Job Title: Computer Vision EngineerJob Overview:We are hiring a skilled Computer Vision Engineer to develop and maintain real-time vision-based applications for production environments. The ideal candidate will work on building, optimizing, and deploying computer vision models integrated into live video processing systems. This role requires strong expertise in Python, deep learning, and performance optimization for real-world applications.Key Responsibilities:<ul><li>Design, develop, and improve computer vision models for live production systems</li><li>Train and fine-tune deep learning models based on project requirements and incoming data</li><li>Work with real-time video streams, including video ingestion, decoding, and processing workflows</li><li>Integrate vision models into backend systems using Python</li><li>Implement and optimize object detection, tracking, and ROI-based processing techniques</li><li>Optimize application performance using NVIDIA CUDA and GPU acceleration</li><li>Maintain and enhance existing video processing pipelines and workflows</li><li>Support deployment and optimization of AI solutions across different environments</li></ul>Requirements:<ul><li>Strong experience in Python development and backend integration</li><li>Good understanding of computer vision, deep learning, and AI concepts</li><li>Hands-on experience with model training, optimization, and fine-tuning</li><li>Experience working with real-time video processing and streaming systems</li><li>Familiarity with object detection and tracking techniques</li><li>Experience with GPU acceleration and CUDA-based optimization</li><li>Knowledge of GStreamer or similar video processing frameworks is an advantage</li></ul>Preferred Qualifications:<ul><li>Experience working with on-premise AI deployments</li><li>Understanding of complete computer vision workflows from data preparation to deployment and monitoring</li><li>Ability to work on scalable, real-time AI applications in production environments</li></ul>Pay: AED5,000.00 - AED6,000.00 per monthExperience:<ul><li>Fine-tuning &amp; training models: 2 years (Required)</li><li>Python: 2 years (Required)</li><li>Back-end development: 2 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>Work Location: In person

Computer Vision Engineer

Explore 343+ Ai engineer in Abu Dhabi this June. Find roles across top companies and apply now to boost your career.

343 ai engineer jobs In Abu Dhabi

Forward Deployed AI Engineer

AI/ML Engineer, Deployed

Senior AI Product Engineer - Abu Dhabi

AI Automation Engineer / Architect of Agentic AI (Automator)

Sr. AI Ops Engineer - Hybrid / Cloud Agnostic

Sr. AI Ops Engineer - Hybrid / Cloud Agnostic

Computer Vision Engineer