Your AI career in the UAE starts here

EXO ARNVIND is exclusively scouting for a high-impact Head of AI Engineering for a major retail powerhouses in the UAE.Our clients is undergoing an ambitious, board-sponsored digital transformation to become "AI-first" enterprises. This is not a maintenance role; it is a mandate to build the organization’s "digital nervous system" from the ground up, with significant investment and executive-level backing.The RoleAs the Head of AI Engineering, you will own the long-term AI roadmap for the next decade. You are the bridge between visionary strategy and deep technical execution across retail, supply chain, and digital commerce.Strategic Leadership: Set and execute the enterprise-wide Data & AI strategy, identifying high-value use cases that drive measurable ROI.Full-Stack Build: Architect and scale the entire AI environment—from GPUs and Lakehouses to MLOps, Vector Databases, and SLMs.Innovation Engine: Lead cross-functional teams to build prototypes and move breakthrough solutions from concept to enterprise-wide adoption.Responsible AI: Establish governance frameworks for responsible AI usage and lead enterprise-wide upskilling initiatives.Operational Excellence: Deploy automation and advanced analytics across finance, customer experience, and physical logistics.Profile RequirementsWe are looking for a heavyweight leader with a "builder" mindset and a track record of scaling AI in complex environments.Experience: Minimum 12+ years in Data, AI, and Machine Learning, with proven success leading enterprise-scale programs.Deep Tech Stack: End-to-end expertise in AI lifecycle management, GenAI, retrieval systems, and domain-specific LLMs/SLMs.Innovation Background: Experience with AI product development, patents, or startup environments is highly valued.Physical AI: Demonstrated work in Robotics or Physical AI integration is a significant advantage given the retail/supply chain focus.Leadership: Ability to partner with C-suite executives to drive cultural and technological transformation.What’s in it for you?This is a high-visibility role in one of the world's fastest-growing tech hubs.

Opportunity with TMC & TMC Middle EastWe’re looking for an AI Product Manager to lead the delivery of Generative AI and Agentic AI solutions that drive real business impact across the organization.Own end‑to‑end delivery of GenAI products: conversational agents, AI copilots, and self‑service journeysTranslate business needs into AI features, workflows, and user storiesLead backlog prioritization, sprint planning, UAT, and releases in an agile environmentCollaborate closely with AI Engineers, Data Scientists, Data Engineering, CRM & ERP teamsEnsure seamless integration with enterprise systems (CRM, ERP, internal platforms)Track product KPIs: adoption, response quality, efficiency gains, and business valueDrive user adoption through demos, training, and continuous feedback loops5+ years experience in product management, AI/ML solutions, or digital product deliveryStrong hands‑on understanding of Generative AI, LLMs, and conversational AIProven ability to deliver enterprise AI products and cross‑functional initiativesExperience translating business objectives into measurable outcomes and KPIsSolid stakeholder management and communication skillsExperience with CRM/ERP integrations (e.g., Salesforce)Exposure to enterprise AI platforms, APIs, data pipelines, or ML workflowsKnowledge of tools like Databricks, MLflow, or similar

Machine Learning Platform Engineer (LLM & Streaming Infrastructure)OverviewWe are seeking a highly skilled Machine Learning Platform Engineer to design, build, and scale the infrastructure powering modern AI and real-time data applications. This role sits at the intersection of MLOps, platform engineering, DevOps, and Generative AI infrastructure, enabling data scientists and AI engineers to deploy production-grade machine learning and LLM-powered systems efficiently and securely.The ideal candidate has strong experience building scalable ML platforms, supporting streaming architectures, and deploying Large Language Model (LLM) applications in production environments. You will play a critical role in creating reliable AI infrastructure that supports high-performance inference, real-time data pipelines, and conversational AI systems.Key ResponsibilitiesML & GenAI Platform EngineeringDesign, develop, and maintain scalable infrastructure for machine learning and Generative AI workloads.Build and optimize LLM infrastructure for training, fine-tuning, inference, and deployment.Support the deployment and orchestration of AI models across cloud and on-premise environments.Implement GPU-enabled infrastructure and workload optimization for high-performance AI applications.Develop reusable tooling, frameworks, and automation to accelerate ML experimentation and productionization.Chat & Conversational AI SystemsDesign and support chat-based AI architectures, including conversational workflows, orchestration layers, memory management, and retrieval pipelines.Build infrastructure supporting AI assistants, copilots, and real-time conversational applications.Integrate vector databases, embeddings pipelines, and Retrieval-Augmented Generation (RAG) systems.Support prompt management, model routing, observability, and evaluation frameworks for LLM applications.Streaming & DevOps EngineeringBuild and maintain DevOps pipelines for real-time streaming applications and event-driven systems.Manage CI/CD workflows for machine learning and distributed streaming services.Design resilient infrastructure for low-latency, high-throughput data processing workloads.Implement infrastructure-as-code, monitoring, logging, and automated deployment strategies.Ensure platform reliability, scalability, security, and operational excellence across environments.Collaboration & Platform EnablementPartner with ML Engineers, Data Scientists, Software Engineers, and Product teams to deliver scalable AI solutions.Establish best practices for MLOps, platform governance, security, and infrastructure reliability.Drive platform standardization, automation, and developer experience improvements.Support troubleshooting and performance optimization across AI and streaming systems.Required ExperienceStrong experience building and maintaining ML platforms or AI infrastructure in production environments.Hands-on experience with chat-based AI systems and conversational application architecture.Proven DevOps experience supporting streaming or real-time applications.Experience deploying and managing LLM/Generative AI infrastructure at scale.Strong understanding of distributed systems, containerization, and orchestration technologies.Experience with CI/CD pipelines, infrastructure automation, and cloud-native environments.Familiarity with vector databases, RAG architectures, embeddings, and inference optimization.Experience with observability, monitoring, logging, and platform reliability engineering.Preferred Technical BackgroundKubernetes, Docker, TerraformKafka, Pulsar, Flink, or Spark StreamingPython, Go, or similar backend languagesML frameworks such as PyTorch or TensorFlowLLM serving frameworks such as vLLM, TGI, or Ray ServeVector databases such as Pinecone, Weaviate, Milvus, or ChromaCloud platforms including AWS, GCP, or AzureCI/CD tools such as GitHub Actions, GitLab CI, or JenkinsMonitoring tools such as Prometheus, Grafana, OpenTelemetry, or ELK StackWhat Success Looks LikeReliable and scalable AI infrastructure supporting production-grade ML and LLM applications.Efficient deployment and monitoring of conversational AI systems and streaming workloads.Strong platform reliability, observability, and operational automation.Improved developer productivity and accelerated AI deployment lifecycle.Robust, secure, and cost-efficient infrastructure supporting rapid innovation.Ideal Candidate ProfileStrong engineering mindset with a passion for scalable AI systems.Comfortable operating in fast-paced, high-growth technology environments.Deep curiosity around emerging AI infrastructure and LLM tooling ecosystems.Excellent problem-solving and cross-functional collaboration skills.Ability to balance platform scalability, performance, reliability, and developer usability.

Location: Remote (Work from Anywhere)Job Type: Contract / FreelanceJob OverviewWe are looking for Image Reinforcement Learning (RL) Experts to work on a cutting-edge AI project focused on improving image-based machine learning systems. The role involves designing tasks, datasets, and evaluation frameworks to enhance AI model reasoning and performance in image-related applications.This is a remote, project-based opportunity ideal for professionals with strong experience in computer vision, reinforcement learning, and AI model evaluation.Key ResponsibilitiesDevelop and implement reinforcement learning approaches for image-based tasksDesign training datasets and evaluation benchmarks for image AI modelsAnalyze and improve model performance in image recognition and visual reasoningWork with machine learning pipelines for image classification, detection, and segmentationCollaborate with AI researchers to improve model accuracy and decision-makingCreate clear documentation of workflows, datasets, and evaluation methodsRequired QualificationsBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fieldStrong experience with Reinforcement Learning (RL)Hands-on experience with Computer Vision / Image ProcessingExperience With Python And ML Frameworks Such AsPyTorchTensorFlowOpenCVKnowledge of deep learning models for image analysis

Job Title: Customer Experience Cloud & AI SMELocation: Remote / UAE / PortugalCompany: KompetenzaDepartment: AI & Service Cloud DevelopmentReports To: director R&DAbout KompetenzaKompetenza is a Salesforce partner with a Center of Excellence in Portugal. We specialize in Salesforce FlexTeam solutions, Corporate Services Cloud, and Employer of Record (EOR) services. Our mission is to help organizations transform customer experiences through intelligent self-service portals, AI automation, and digital engagement.Role OverviewWe are looking for a Customer Experience Cloud & AI SME to lead the design, development, and optimization of self-service customer portals while integrating AI-driven automation across both Salesforce and external ecosystems.This role requires expertise in Salesforce Experience Cloud and a strong understanding of AI-driven automation to create seamless self-service solutions, AI-powered agents, and intelligent workflows that enhance customer engagement. The ideal candidate will work closely with clients, internal teams, and stakeholders to drive automation, improve user experience, and mentor organizations on AI adoption.Key Responsibilities Develop & Optimize Self-Service Customer Portals Design, configure, and enhance customer self-service portals using Salesforce Experience CloudImplement self-service automation and AI-driven workflows to improve customer interactionsEnsure portals are intuitive, scalable, and personalized with guided service journeysIntegrate Einstein AI and automation tools for proactive customer support and case resolution AI-Powered Virtual Agents & AutomationDevelop and optimize AI-driven virtual agents within Salesforce and external platformsUtilize Einstein AI, NLP, and machine learning to enhance case deflection and automate customer supportImplement Conversational AI chatbots integrated with Live Chat, WhatsApp, and external messaging platformsEnsure AI agents learn from interactions to continuously improve customer responses Cross-Platform AI Automation & IntegrationWork with Salesforce Flow, Omni-Channel Routing, and Process Automation to optimize service operationsIntegrate self-service portals with third-party AI tools, RPA solutions, and external APIsImplement AI-powered predictive analytics to personalize customer experiences Customer Engagement & AI MentorshipAct as an AI & Experience Cloud SME, guiding clients through their AI and automation journey Work directly with customers to understand their challenges and tailor AI/self-service solutionsProvide training and mentorship to businesses on how to adopt and maximize AI-driven self-service portalsGather feedback from end-users to enhance AI models, workflows, and self-service functionalities Data Intelligence & AI Performance OptimizationUse Salesforce Data Cloud and AI analytics to drive data-backed automation improvementsContinuously monitor AI agent performance and customer engagement metrics to optimize processesEnsure compliance with data security, privacy, and ethical AI practices AI & Innovation StrategyStay ahead of emerging AI and Experience Cloud trends, ensuring cutting-edge solutionsWork with internal teams to align AI automation with business and customer service objectivesEvaluate and integrate new AI and automation tools to enhance customer experienceKey RequirementsTechnical Skills 2+ years of experience in Salesforce Experience Cloud & Service Cloud (or equivalent self-service portal expertise)Hands-on knowledge of Einstein AI, NLP, chatbot development, and automation workflowsExperience with Salesforce Flow, Omni-Channel Routing, and case automationFamiliarity with third-party AI, automation, and chatbot platforms outside SalesforceKnowledge of API integrations, RPA, and machine learning-driven automationSoft Skills & Experience Passionate about customer experience, AI, and digital transformation Comfortable working directly with clients, understanding their self-service & AI needs Strong problem-solving and analytical skills to build impactful automation solutions Excellent communication & presentation skills, able to mentor and train customers Ability to learn quickly and stay updated on the latest AI and self-service technologiesWhy Join Kompetenza R&D Work on cutting-edge AI & self-service portalBenefitsWhy Join Kompetenza?✅ Build a lead generation machine from the ground up - an exciting opportunity to create a scalable system.✅ Work with cutting-edge AI and automation tools to optimize sales outreach.✅ High earning potential - competitive salary with performance-based commission.✅ Remote work flexibility with a global team.

Our client is an enterprise AI company headquartered in Dubai, UAE. We build and deploy AI-native products across social intelligence, agentic AI platforms, voice AI, cyber deception and computer vision - serving government, enterprise and telcos clients across the UAE and GCC.We are looking for a hands-on Full Stack AI Developer to join our engineering team. You will be responsible for building production-grade AI-powered features across our product suite - from backend model integrations and APIs to clean, functional front-end interfaces. The ideal candidate has 2-3 years of real-world experience building applications that incorporate AI/ML models, LLMs, or agentic workflows and is comfortable working across the full stack.AI / ML Integration Related:Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, open-source) into production applications via APIs and SDKsBuild and maintain agentic workflows, multi-step reasoning pipelines and tool-calling patternsConnect AI models to structured/unstructured data sources, vector databases and retrieval pipelines (RAG & GRAG)Implement prompt engineering, chaining and context management for reliable AI outputsBackend Development Related:Design and build RESTful and event-driven APIs using Python (FastAPI / Django) or Node.jsWork with relational and non-relational databases (PostgreSQL, MongoDB, Redis) along with ElasticsearchBuild data ingestion pipelines and integrate third-party data APIs (social, news, enterprise systems)Deploy and maintain containerized services on cloud infrastructure (Azure preferred)Frontend Development RelatedDevelop responsive, functional UI components using the likes of React.js or Vue.jsConsume and display real-time or streaming AI outputs in clean, user-ready interfacesCollaborate with product on UX flows for AI-assisted features (dashboards, chat UIs, agent interfaces)Collaboration & Quality Related Work closely with the engineering team and product leads to translate requirements into technical specificationsWrite clean, documented, and testable code; participate in code reviewsIdentify performance bottlenecks and propose practical solutionsSupport QA and UAT cycles for client-facing deploymentsRequirementsAI / LLMHands-on experience with OpenAI / Azure OpenAI API, LangChain, or similar frameworksFamiliarity with RAG patterns, vector stores (Pinecone, Weaviate, pgvector), and embeddingsUnderstanding of prompt engineering, function/tool calling, and agentic orchestrationBackendNode.js & Express with REST API development, and/ or Python (FastAPI or Django)SQL and NoSQL databases; basic query optimisationExperience with Docker and cloud deployment (Azure, AWS, or GCP)Familiarity with message queues or event streaming (e.g., Kafka, RabbitMQ) is a plusFrontendReact.js or Vue.js with component-based architectureWorking knowledge of HTML5, CSS3, and JavaScript/TypeScriptAbility to build clean data visualisation interfaces (charts, dashboards)GeneralGit-based version control and CI/CD workflowsStrong problem-solving skills and ability to work in a fast-paced, delivery-focused environmentGood written and verbal communication in EnglishBachelor's degree in Computer Science, Software Engineering, or equivalent practical experienceNICE TO HAVEExperience with Microsoft Azure AI Foundry, Azure AI Search, or Azure Bot FrameworkExposure to computer vision APIs or model inference pipelinesPrior work on social media data ingestion, sentiment analysis, or NLP pipelinesExperience building voice AI integrations (STT/TTS, telephony APIs)Contributions to open-source AI/ML projectsFamiliarity with GCC enterprise environments or government IT constraintsBenefitsWHAT WE OFFER:Competitive salary benchmarked to marketDirect exposure to cutting-edge enterprise AI projects across UAE and GCCFlat team structure - work directly with founders and senior engineersOpportunity to grow into a Senior or Lead Engineer roleFlexible remote/hybrid work arrangementsFast-paced environment where your work ships to production and reaches real clients