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Known global pharma, metro location, and attractive ML role cause moderate applicant competition.
Core ML and LLM skills are broadly transferable across industries.
Explicit 7+ years plus required ML/LLM tech stack and senior experience enforces strict filters.
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Own end-to-end design, delivery, and stakeholder management of AI/ML solutions including generative AI and agentic AI systems.
Decompose AI/ML initiatives into Agile user stories and lead architectural decisions balancing complexity, cost, scalability, and time-to-value.
Develop, deploy, and maintain AI/ML models and pipelines using Python and frameworks like LangChain, LangGraph, and core ML libraries (PyTorch, TensorFlow).
Bachelor's Degree in Computer Science, Mathematics or related field.
7+ years of IT technical experience including 2+ years in senior or lead roles.
Experience with GenAI & agentic frameworks such as LangChain, LangGraph, Pydantic AI, and familiarity with LLM platforms like Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Proven ability delivering Agile/Scrum AI/ML projects and designing complex AI/ML system architectures.
Technically strong individual contributor capable of autonomous AI/ML solution ownership and stakeholder engagement.
Experience with generative AI, multi-agent frameworks, and production-scale AI pipeline development.
Operates effectively within Agile teams, balancing technical trade-offs for enterprise-scale commercial AI applications.