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Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy production-grade machine learning systems focused on Generative AI, LLM-powered applications, and AI toolkits like Kensho Link and NERD.
Design and optimize retrieval-driven AI agents that ground LLM outputs in trusted S&P Global data, ensuring data validation and performance efficiency.
Collaborate with cross-functional teams to drive scalability, reliability, and continuous improvement of ML solutions across Kensho’s AI products.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related field.
Minimum 3 years of hands-on industry experience in machine learning, NLP, and information retrieval with production system deployment and maintenance.
Strong proficiency in Python and experience with SQL databases (querying and access pattern understanding).
Experience with ML pipelines covering data processing, training, inference, evaluation, versioning, and experimentation.
Ideal Candidate Profile
Mid-to-senior level ML engineer with experience building end-to-end scalable and reliable ML systems in production environments.
Familiarity with LLM orchestration frameworks such as LangChain and retrieval-augmented generation (RAG) systems.
Comfortable working across data ingestion, model development, deployment, and cross-team collaboration to align ML solutions with business needs.