artificial intelligence specialist

Jaheziya

<div>
 
 About The Role
 
 
 
 Design, deploy, and manage scalable AI platforms and MLOps pipelines, ensuring the performance, reliability, scalability, and security of AI systems throughout their lifecycle.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, deploy, and maintain scalable AI platforms and MLOps pipelines.
 </li>
 <li>
 Manage AI infrastructure, deployment, and CI/CD pipelines.
 </li>
 <li>
 Monitor AI systems and machine learning models to ensure performance, reliability, and availability.
 </li>
 <li>
 Ensure the scalability, security, and operational stability of AI platforms.
 </li>
 <li>
 Automate model deployment, monitoring, and lifecycle management.
 </li>
 <li>
 Collaborate with data scientists and software engineers to operate AI solutions.
 </li>
 <li>
 Troubleshoot and optimize AI infrastructure and production environments.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
 </li>
 <li>
 3&ndash;8 years of relevant experience in AI systems engineering, MLOps, or machine learning platform engineering.
 </li>
 <li>
 Strong experience with Python, Docker, Kubernetes, and cloud platforms.
 </li>
 <li>
 Experience with CI/CD pipelines and machine learning frameworks.
 </li>
 <li>
 Experience managing AI infrastructure and deploying machine learning solutions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Azure ML, AWS SageMaker, or Vertex AI.
 </li>
 <li>
 Experience with Terraform or other Infrastructure as Code (IaC) tools.
 </li>
 </ul>
</div>

AI Systems & Machine Learning Operations (MLOps) Engineer

<div>
 
 About The Role
 
 
 
 Design, deploy, and maintain scalable AI and machine learning systems that deliver secure, reliable, and high-performing AI solutions. Ensure efficient model serving, deployment, monitoring, and operational excellence across AI environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, deploy, and maintain scalable AI/ML systems and infrastructure.
 </li>
 <li>
 Develop and manage MLOps pipelines for automated model deployment and monitoring.
 </li>
 <li>
 Ensure the performance, reliability, security, and scalability of AI platforms.
 </li>
 <li>
 Deploy, serve, and optimize machine learning and generative AI models for production environments.
 </li>
 <li>
 Build and maintain CI/CD pipelines for AI applications.
 </li>
 <li>
 Manage containerized AI applications using Docker and Kubernetes.
 </li>
 <li>
 Collaborate with data scientists, software engineers, and business stakeholders to operationalize AI solutions.
 </li>
 <li>
 Monitor AI system performance, reliability, and availability, implementing continuous improvements.
 </li>
 <li>
 Troubleshoot production issues and optimize AI infrastructure.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
 </li>
 <li>
 3&ndash;8 years of experience in AI systems engineering, MLOps, or machine learning platform engineering.
 </li>
 <li>
 Strong programming skills in Python.
 </li>
 <li>
 Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
 </li>
 <li>
 Hands-on experience with Docker, Kubernetes, and containerized deployments.
 </li>
 <li>
 Experience designing and maintaining CI/CD pipelines.
 </li>
 <li>
 Knowledge of distributed systems and scalable AI infrastructure.
 </li>
 <li>
 Experience deploying and operationalizing machine learning and generative AI solutions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Azure Machine Learning, AWS SageMaker, or Google Vertex AI.
 </li>
 <li>
 Experience with Infrastructure as Code (Terraform or similar).
 </li>
 <li>
 Familiarity with AI monitoring, observability, and model lifecycle management.
 </li>
 <li>
 Relevant cloud or AI certifications.
 </li>
 </ul>
</div>

Artificial Intelligence (AI) & Machine Learning Engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 About The Role
 
 
 
 Design, deploy and support scalable AI platforms and MLOps pipelines that enable reliable machine learning solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and maintain MLOps pipelines.
 </li>
 <li>
 Automate model deployment and monitoring.
 </li>
 <li>
 Manage AI infrastructure and CI/CD pipelines.
 </li>
 <li>
 Collaborate with data scientists and software engineers.
 </li>
 <li>
 Monitor model performance and optimise reliability.
 </li>
 <li>
 Ensure security and scalability of AI platforms.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, AI, Data Science or related field.
 </li>
 <li>
 3&ndash;8 years' relevant experience.
 </li>
 <li>
 Experience with Python, Docker, Kubernetes and cloud platforms.
 </li>
 <li>
 Knowledge of CI/CD and machine learning frameworks.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Azure ML, AWS SageMaker or Vertex AI.
 </li>
 <li>
 Terraform or Infrastructure as Code experience.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://jaheziya.ae/ Job Function: DevOps &amp; QA Company Industry/
 
 
 Sector: Emergency and Relief Services
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 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.
 
 
 Report
 
 
 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>

AI Systems And Machine Learning Operations MLOps Engineer

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, a distributed inference network that turns idle GPU capacity into usable compute for developers, businesses, and AI products. Around this infrastructure, we build a wider ecosystem of products, payment tools, developer platforms, and internal systems that help prove and grow the network through real usage.We&rsquo;re looking for an AI Inference Infrastructure Engineer to build the core engine powering this system &mdash; from low-level runtime to distributed orchestration. This is a deeply technical role focused on performance, efficiency, and control over hardware.You will be working close to the metal, designing systems that operate at the limits of modern compute.03. WHO YOU ARE<ul><li>Systems Engineer: You have deep experience in systems programming and care about performance at every layer.</li><li>Performance Optimiser: You understand how to extract maximum efficiency from hardware &mdash; not just make things work.</li><li>Infrastructure Builder: You&rsquo;ve built or contributed to distributed systems where latency and throughput matter.</li><li>Low-Level Thinker: You&rsquo;re comfortable working close to hardware &mdash; memory, kernels, execution pipelines.</li><li>Pragmatic Engineer: You avoid unnecessary abstractions and focus on what actually improves performance.</li></ul>04. RESPONSIBILITIES<ul><li>Core Engine Development: Design and implement low-level runtime systems (Rust/C) to manage model execution, memory allocation, and request batching across distributed compute.</li><li>Hardware-Aware Optimisation: Develop and optimise tensor operations and custom kernels (CUDA, Triton) to maximise hardware utilisation.</li><li>Inference Performance: Implement advanced inference techniques such as continuous batching, speculative decoding, and paged attention &mdash; tailored to our architecture.</li><li>Decentralised Orchestration: Design routing and load balancing systems across geographically distributed nodes to ensure availability and efficiency.</li><li>Autonomous Infrastructure: Build fully automated deployment and recovery systems &mdash; ensuring zero manual intervention and self-healing network behaviour.</li></ul>05. REQUIREMENTS<ul><li>Strong experience in systems programming (Go, Rust, or C/C++).</li><li>Proven experience working with performance-critical systems.</li><li>Deep understanding of GPU programming (CUDA, ROCm) and hardware-level optimisation.</li><li>Strong knowledge of deep learning architectures (Transformers, Mamba) and tensor execution.</li><li>Experience building distributed systems with high concurrency and low latency.</li><li>Ability to work close to the hardware and optimise execution pipelines.</li><li>Strong problem-solving skills and attention to performance bottlenecks.</li></ul>06. 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 optimisation</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&rsquo;re working on and influence product direction</li><li>A diverse, open-minded team where ideas are genuinely heard</li></ul>Work Location: In person

AI Inference Infrastructure Engineer

Contango

<div>Contract duration: 6 months (with a potential extension) 
Engagement Type: Full-time 
Start date: July 2026 
Location: Abu Dhabi (on-site)
Role Overview
We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems &mdash; primarily LLM-powered applications, RAG pipelines, and agentic workflows &mdash; that solve real client business problems in the UAE. The role combines applied AI expertise with solid software and data engineering foundations, with hands-on ownership from prototype to production and hypercare. 
 
Key Responsibilities<ul><li>
Design and deliver end-to-end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services.</li><li>
Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re-ranking, and context-window optimization.</li><li>
Design and orchestrate agentic workflows for reasoning, planning, and task execution.</li><li>
Build evaluation and observability: define metrics (accuracy, latency, cost-per-task), run eval pipelines, and monitor systems in production.</li><li>
Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams.</li><li>
Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms.</li><li>
Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization.</li><li>
Translate business problems into AI solutions and communicate model capabilities, limitations, and trade-offs clearly to clients and stakeholders.</li><li>
Maintain technical documentation, runbooks, and delivery artifacts across Design &amp; Align Build UAT Production &amp; Hypercare.</li></ul> 
Candidate Requirements<ul><li>
Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.</li><li>
Prior experience at management consulting firms and/or Big Tech is an advantage.</li><li>
Strong Python and solid software engineering fundamentals.</li><li>
Hands-on LLM APIs (Anthropic, OpenAI, Azure OpenAI), including tokenization, latency, and cost control.</li><li>
Proven RAG architecture experience with vector databases (e.g., Azure AI Search, Qdrant, Chroma, Pinecone, FAISS).</li><li>
Experience with agent/orchestration frameworks (e.g., LangChain, LangGraph, CrewAI).</li><li>
Evaluation and observability skills for production AI (eval pipelines, LLM-as-judge, monitoring).</li><li>
Working knowledge of a major cloud AI/data stack (Azure, AWS, or GCP) and MLOps tooling (e.g., MLflow, Docker).</li><li>
Solid data engineering skills: SQL, distributed processing (e.g., Spark/Databricks).</li><li>
Strong collaboration and communication skills &mdash; able to work with both technical teams and senior client stakeholders.</li></ul> 
Qualifications<ul><li>
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.</li><li>
3&ndash;6 years of experience building and shipping AI/ML solutions into production.</li><li>
Preferred certifications (nice to have): cloud AI certifications (Azure AI Engineer, AWS ML, Databricks GenAI Engineer).</li></ul></div>

AI Engineer (6 months contract)

Discovered MENA

<div>
 
 
 
 Applied AI Engineer &ndash; Abu Dhabi
 
 
 
 
 
 
 Discover the Opportunity
 
 
 
 
 We&rsquo;re partnering with a major enterprise in Abu Dhabi that is building next-generation AI capabilities to power large-scale, real-world systems.
 
 
 
 
 
 This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities. The team is focused on leveraging cutting-edge technologies including large language models, retrieval systems, and agent-based workflows to deliver scalable, production-grade solutions.
 
 
 
 
 
 This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI-driven systems that operate at an enterprise level.
 
 
 
 
 
 
 
 Discover the Role
 
 
 
 
 As an Applied AI Engineer, you will design and deliver end-to-end AI-powered applications, working at the intersection of AI engineering, software development, and product delivery.
 
 
 
 
 
 You will take ownership of building robust, production-ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions. This role requires strong hands-on engineering expertise combined with a deep understanding of how to operationalise AI in real-world environments.
 
 
 
 
 
 
 
 Discover the Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools
 </li>
 <li>
 Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration
 </li>
 <li>
 Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation
 </li>
 <li>
 Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms
 </li>
 <li>
 Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality
 </li>
 <li>
 Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics
 </li>
 <li>
 Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities
 </li>
 <li>
 Collaborate with cross-functional teams to deliver reliable, high-performance AI systems
 </li>
 </ul>
 
 
 
 
 
 
 Discover the Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in
 
 Applied AI
 
 , machine learning engineering, or software engineering roles
 </li>
 <li>
 Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation
 </li>
 <li>
 Proven experience building and deploying AI/ML systems in production environments
 </li>
 <li>
 Hands-on experience working with large language models and deploying LLM-powered applications
 </li>
 <li>
 Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour
 </li>
 <li>
 Experience designing scalable, reliable, and high-performance systems
 </li>
 </ul>
 
 
 
 
 
 
 Preferred experience:
 
 
 
 <ul>
 <li>
 Experience building RAG systems end-to-end, including retrieval pipelines and vector search
 </li>
 <li>
 Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, or similar
 </li>
 <li>
 Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection
 </li>
 <li>
 Exposure to conversational AI systems, including speech or real-time interaction pipelines
 </li>
 <li>
 Experience working with modern AI inference infrastructure and deployment environments
 </li>
 </ul>
 
 
 
</div>

Applied AI Engineer

HTC Global Services

<div>
 
 Exciting Opportunity Alert! 🌟 HTC Global Services is hiring
 
 AI Engineer
 
 for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).
 
 
 
 
 
 HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.
 
 
 
 
 
 
 
 About the Role:
 
 
 
 
 We are seeking an AI Engineer (Innovation) with 6+ years of experience with dtrong programming experience in Python. Expertise in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on experience with OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, or similar Agentic AI frameworks.
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Design and develop AI/ML and Generative AI solutions.
 </li>
 <li>
 Build predictive models for demand forecasting, revenue optimization, dynamic pricing, ancillary revenue growth, and passenger behavior analysis.
 </li>
 <li>
 Develop and deploy LLM-based applications using RAG, Vector Databases, Prompt Engineering, and Agentic AI frameworks.
 </li>
 <li>
 Build intelligent recommendation and personalization engines.
 </li>
 <li>
 Develop scalable AI pipelines and integrate AI models with enterprise applications and operational systems.
 </li>
 <li>
 Deploy and manage AI solutions on Azure cloud platforms.
 </li>
 <li>
 Collaborate with Data Engineers, Data Scientists, Product Owners, and Business Stakeholders to translate business requirements into AI solutions.
 </li>
 <li>
 Ensure model performance, scalability, security, governance, and compliance standards.
 </li>
 </ul>
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Experience building RAG architectures and Vector Databases.
 </li>
 <li>
 Strong knowledge of LLMs, Prompt Engineering, Fine-tuning, and AI Evaluation frameworks.
 </li>
 <li>
 Experience with Azure AI Services, Azure Databricks, Azure Machine Learning, Azure Data Factory, and Azure DevOps.
 </li>
 <li>
 Experience with MLOps, CI/CD, model deployment, monitoring, and governance.
 </li>
 <li>
 Knowledge of data engineering concepts, APIs, microservices, and event-driven architectures.
 </li>
 <li>
 Familiarity with SQL, Spark, and large-scale data processing.
 </li>
 </ul>
 
 
 
 
 Interested candidates please do share your updated CV to mubeenakamal.basha@htcinc.com mentioning your Current CTC, expected CTC and notice period details.
 
 
 
 
 
 #HTCGlobalServices #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #AIEngineer #LLM #RAG #MCP #fastMCP #Python #LangGraph #LangChain #AzureAI
 
</div>

AI Engineer

Explore 59+ Artificial intelligence specialist in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.