Machine Learning Engineer
S&P Global7 days ago
Bengaluru, India or Hyderābād, IndiaMid Level / Senior
H1B Sponsor
Responsibilities
- Develop, refine, deploy, and scale machine learning systems for Kensho products.
- Build retrieval-driven AI agents that fetch, validate, and structure data from S&P Global datasets.
- Evaluate LLM-based agents across performance, latency, memory usage, compute efficiency, and feature consistency.
- Work with structured and unstructured domain-specific data and subject matter experts.
- Improve reliability, maintainability, and production operations while reducing technical debt.
- Scope, plan, and execute ML initiatives across Kensho products.
- Collaborate with Data, Product, Design, and Engineering teams on product vision and user workflows.
- Manage the full ML lifecycle from problem framing and data exploration through deployment, monitoring, and continuous improvement.
Requirements
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
- At least 3 years of hands-on industry experience with machine learning, NLP, and information retrieval systems, including designing, shipping, and maintaining production systems.
- Strong proficiency in Python.
- Experience reading SQL databases and writing queries for specific access patterns.
- Experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation.
- Effective coding, documentation, collaboration, communication, problem-solving, and initiative-taking skills.
- Ability to adapt to a fast-paced and dynamic work environment.
- Experience with LLM orchestration libraries or frameworks such as LangChain.
- Preferred experience with RAG-based systems.
Benefits
- Health care coverage and wellness benefits.
- Generous flexible time off.
- Continuous learning and career development resources.
- Retirement planning, continuing education, company-matched student loan contributions, and financial wellness programs.
- Family-friendly benefits and perks.
- Retail discounts and referral incentive awards.