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Tier-1 employer and mid-level ML role increase applicant competition.
ML engineering and LLM expertise are transferable across industries but require specialized technical depth.
Explicit 5-7 years, mandatory ML/LLM experience and platform ownership make filters strict.
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Lead design and delivery of production machine learning systems focusing on architectures for ML and LLM-powered platforms.
Own technical strategy and standards for model development, deployment, monitoring, and prompt engineering including LLM evaluation and safety.
Mentor engineers, drive framework/platform strategies for reusable agent development, and represent ML technical decisions cross-organizationally.
5+ years of relevant experience in machine learning or equivalent technical leadership.
Bachelor's degree preferred; extensive experience or coursework considered.
Deep expertise in building and operating large-scale production ML systems with domain experience in NLP, computer vision, or forecasting.
Hands-on experience with LLM frameworks (e.g., LangChain, LlamaIndex) and agent systems (OpenAI SDK, ADK, Autogen).
Experienced technical leader capable of guiding complex ML initiatives without direct people management responsibility.
Strong systems thinker with architectural judgment and ability to improve system reliability and scalability.
Skilled communicator able to translate ML decisions for both technical and non-technical stakeholders and drive cross-team alignment.