Machine Learning Engineer
S&P Global1 day ago
Bengaluru, India or Hyderābād, IndiaSenior
Responsibilities
- Develop, refine, deploy, scale, and maintain machine learning systems that power Kensho products.
- Build retrieval-driven AI agents that fetch, validate, and structure data from S&P datasets to ground LLM outputs.
- Evaluate LLM-based agents across performance, latency, memory usage, compute efficiency, and feature consistency.
- Build and operate ML pipelines covering data processing, training, inference, maintenance, evaluation, versioning, and experimentation.
- Work with structured and unstructured domain-specific data and subject matter experts.
- Improve reliability, maintainability, production monitoring, resource utilization, and technical debt across the ML stack.
- Scope and execute ML initiatives while collaborating with data, product, design, and engineering teams.
Requirements
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
- At least 3 years of significant hands-on industry experience with machine learning, natural language processing, and information retrieval systems, including designing, shipping, and maintaining production systems.
- Strong proficiency in Python.
- Experience reading and understanding SQL databases and writing queries for specific access patterns.
- Experience with ML pipelines, production deployment, evaluation, versioning, and experimentation.
- Experience with machine learning libraries or frameworks for LLM orchestration, such as LangChain.
- Preferred experience with retrieval-augmented generation (RAG) systems.
- Effective coding, documentation, collaboration, communication, problem-solving, and initiative-taking skills.
Benefits
- Health care coverage supporting physical and mental wellness.
- Generous paid time off and flexible downtime.
- Continuous learning resources and career development support.
- Retirement planning, continuing education support, company-matched student loan contributions, and financial wellness programs.
- Family-oriented benefits and perks.
- Retail discounts and referral incentive awards.
- Benefits vary by country.