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Strong employer brand, popular ML role, mid-level seniority and broad LLM/production skillset increases applicant competition.
Core ML engineering skills transferable, but financial domain data and retrieval expertise require industry-specific experience.
Explicit 5+ years requirement plus mandatory ML/NLP, production, and Python skills make filters strict.
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Design, develop, and deploy production-grade machine learning systems powering Kensho’s AI products, including GenAI platforms and retrieval-driven AI agents.
Evaluate and optimize LLM-based AI agents for performance, latency, memory, compute efficiency, and consistency.
Collaborate across ML engineering, backend, and product teams to scale ML applications, reduce technical debt, and drive the full ML lifecycle from data exploration to production monitoring.
Bachelor's degree or higher in Computer Science, Engineering, or related field.
5+ years of industry experience in machine learning, NLP, and information retrieval systems with experience shipping and maintaining production systems.
Strong proficiency in Python.
Experience with ML pipelines, SQL databases, and frameworks for LLM orchestration (e.g., LangChain).
Experienced in building robust, scalable, and transparent ML solutions end to end, including deployment and production operations.
Demonstrated ability to work across data, retrieval, modeling, and system design within dynamic, fast-paced AI product environments.
Capable of collaborating effectively with cross-functional teams (Data, Product, Design, Engineering) to influence architecture and product vision.