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Strong multinational brand and metro location but senior, specialized ML/LLM skillset reduces applicant density.
Core ML/LLM skills transfer across industries, though life-sciences or regulated experience is a preferred differentiator.
Explicit 10+ years requirement, advanced degree preference, and mandatory production LLM/RAG experience increase strictness.
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Lead end-to-end AI/ML lifecycle including design, development, evaluation, and production deployment of advanced AI/ML and Generative AI solutions.
Architect and build machine learning models, LLM-based applications, and retrieval-augmented generation workflows impacting scientific workflows and customer experience.
Provide technical leadership and mentorship, establish AI/ML engineering standards, and collaborate cross-functionally to deliver production-grade AI features with measurable impact.
Master’s degree in AI/ML, computer science, statistics, engineering, or related technical field; Ph.D. preferred.
10+ years industry experience in software engineering with robust production AI/ML solution delivery.
Strong proficiency in Python, PyTorch, C++, C#; hands-on experience with RAG, agentic AI, LangChain, LangGraph.
Work Experience Required: 10+ years industry experience in AI/ML software engineering.
Experienced technical leader comfortable with hands-on AI/ML model development, deployment, and scaling in scientific or regulated domains.
Demonstrates strong ability to architect and operationalize complex AI systems including LLMs, agentic workflows, and RAG solutions.
Skilled in integrating AI/ML capabilities into enterprise and scientific applications with a focus on evaluation-driven development and engineering best practices.