Senior AI/ML Engineer - Generative AI & LLMs

Company DescriptioneData is a Dubai-based Insurtech building the data and AI infrastructure that insurers, TPAs and automotive partners across the GCC rely on to handle claims faster, smarter and at lower cost. We are expanding our AI capabilities and are looking for an experienced AI/ML professional to help build and deploy practical, production-grade AI solutions.The roleYou'll design, develop, and deploy AI and Machine Learning solutions across real-world insurance and automotive use cases. You'll work with LLMs, Generative AI, RAG, AI agents, Document AI and predictive models, while turning complex business requirements into scalable AI solutions that deliver measurable value.What you'll doDesign, develop and deploy Machine Learning and AI solutions using PythonBuild applications using LLMs, Generative AI, RAG and AI AgentsDevelop Document AI and OCR solutions to extract, classify and structure information from unstructured documentsBuild models for classification, anomaly detection, risk scoring and predictive analyticsAnalyze historical datasets and develop benchmarks, trends and predictive insightsWork with SQL, data pipelines, and large structured/unstructured datasetsBuild and integrate REST APIs and microservices to operationalize AI/ML capabilitiesContainerize and deploy solutions using Docker, Kubernetes and CI/CD pipelinesSupport cloud and on-premises deploymentsImplement MLOps practices including model monitoring, explainability, performance tracking and governanceWork closely with business and product teams to translate business challenges into practical AI/ML use casesTake AI solutions from proof of concept through to production deploymentWho we're looking forStrong hands-on experience with Python, Machine Learning and AI developmentPractical experience working with LLMs / Generative AI, RAG and AI AgentsExperience with Document AI, OCR and unstructured document processingStrong knowledge of classification, anomaly detection, risk scoring and predictive analyticsStrong experience with SQL, data pipelines and historical data analysis/benchmarkingExperience developing and integrating REST APIs and microservicesFamiliarity with Docker, Kubernetes, CI/CD and cloud/on-premises deploymentUnderstanding of MLOps, model monitoring, explainability and AI governanceAbility to translate business requirements into technically sound and commercially practical AI solutionsExperience deploying AI/ML solutions into production environmentsStrong problem-solving skills with the ability to work independently and take ownershipWhat we offerOpportunity to build AI solutions solving real-world insurance and automotive challengesWork on production use cases involving Generative AI, LLMs, AI Agents, Document AI and predictive analyticsDirect exposure to business, product and technology leadershipA fast-moving environment with significant ownershipOpportunity to help shape eData's AI capabilities as we scale across the GCCDubai HQ with exposure to regional marketsLocation: Dubai, UAEJoining: ASAP