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and ship ML and GenAI products end-to-end, from problem framing and modelling to scalable deployment and monitoring.\n\nResponsibilities: \nOwn the technical roadmap for ML/GenAI initiatives and align it with product goals and delivery timelines.\nLead LLM workflow and agentic system design, including retrieval, tool-use, and evaluation pipelines.\nGuide model development using PyTorch and Hugging Face; enforce code quality, testing, and model evaluation standards.\nOversee MLOps: CI/CD for models, API design, containerisation, orchestration, and cost/performance optimisation on AWS.\nCollaborate with product, data, and infra teams; run experiments, A/B tests, and error analysis.\nMentor engineers, conduct code/model reviews, and grow team capabilities.\n\nRequirements: \nAt least 5 years of experience with a minimum of one year in technical leadership, leading projects or teams.\nGeneral AI/ML Team Lead requirements: roadmap ownership, sprint planning, stakeholder communication, mentoring, and setting engineering best practices.\nStrong Python understanding: idiomatic code, testing, packaging, async I/O, performance profiling.\nStrong ML, DL, and GenAI understanding: supervised/unsupervised learning, transformer architectures, prompt engineering, evaluation, and safety/guardrails.\nExperience building LLM-based workflows and agents, including retrieval (RAG), tools, memory, and evaluation loops.\nHands-on experience with LangChain, HuggingFace, PyTorch, Neo4j, Milvus, and AWS for scalable, production-grade systems.\nMLOps experience: model deployments, API development, observability, infra management (containers, orchestration, IaC), and data/version governance.\n\nPreferred Qualifications: \nKnowledge graph design and Neo4j schema modelling for semantic retrieval and reasoning.\nLLM fine-tuning with deployment to production: LoRA/QLoRA, PEFT, quantisation, evaluation, rollback strategies, and cost optimisation.\nStartup experience: comfort with ambiguity, rapid iteration, and owning outcomes across the stack.\nSkills\naws, hugging face, huggingface, langchain, llm, mlops, python, pytorch, rag","description_format":"text","description_chars":2158,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wellness Programs","Consumer Health Apps"],"lifecycle":[{"event":"open","at":"2026-10-24T21:35:00Z"}],"visa":[],"liveness":{"score":85,"band":"hot","label":"Hiring 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