Jobs at Myn

My client is one of the most recognisable tech platforms in the Middle East, operating across 70+ cities in 10 countries, serving tens of millions of customers, and now making a serious push into AI. They're looking for engineers who can turn that ambition into production-ready systems.The RoleYou'll sit within the Data Science team, working on GenAI applications that directly shape the product experience at scale. This isn't research for research's sake, you'll be building and deploying real systems used by millions of users across the region.What You'll Be DoingBuilding and deploying RAG systems and LLM-powered applications in productionDesigning scalable GenAI pipelines using LangChain and LCELRunning randomised controlled experiments and translating results into product decisionsImplementing observability and tracing for LLM-powered systems in productionCollaborating with product, data science, and engineering teams to ship AI-driven featuresDriving exploratory analysis to identify new product levers and opportunitiesChallenging existing approaches and keeping the team aligned with industry best practicesWhat They're Looking For4–6 years in machine learning and/or software engineeringAdvanced degree in a quantitative field (CS, Engineering, Mathematics, Statistics, Physics)Strong working knowledge of transformer architectures, attention mechanisms, and LLMsHands-on experience with advanced prompting — CoT, few-shot, in-context learningProficiency in LangChain/LCEL for building complex LLM workflowsPyTorch or TensorFlowFastAPI or similar for building scalable APIsProficient in Python, SQL, Spark/HiveSolid software engineering practices — Git, CI/CD, automated testingDistributed training knowledge (DeepSpeed, Megatron-LM) is a bonusWhat You GetWork on AI problems at genuine scale — tens of millions of users across a complex, multi-market platformBe part of a team leading the AI ecosystem in the MENA regionA platform that's actively investing in its next chapter, not just maintaining what exists Show more Show less