We are looking for a Machine Learning Engineer to join our team at Kensho, S&P Global's hub for AI innovation and transformation. As a ML Engineer, you will work across a broad set of machine learning areas, building retrieval-driven AI agents and developing production-grade machine learning systems. This role is ideal for engineers who enjoy building robust, production-grade ML systems end to end and have strong ML fundamentals.

Company: S&P Global

Role: Machine Learning Engineer

Location: Hyderabad, India; Bangalore, India

Experience:

3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems
Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain

Key Skills:

Python
SQL databases
Machine learning libraries/frameworks for Large Language Model (LLM) orchestration
Scikit-learn
XGBoost
LightGBM
PyTorch
Transformers
HuggingFace
LangChain
Docker
Amazon EKS
Jenkins
AWS
Pandas
Matplotlib
Jupyter
Weights & Biases
DVC
MosaicML
NVIDIA NeMo
LabelBox
Postgres
OpenSearch
SQLite
S3

Qualification:

Bachelor's degree or higher in Computer Science, Engineering, or a related field

Role Focus:

Develop Advanced ML Systems: Create, refine, and deploy machine learning systems that solve complex business problems and power Kensho products
Build Retrieval-Driven AI Agents: Design AI agents that fetch, validate, and structure data from S&P datasets
Evaluate LLM-based Agents: Identify and resolve performance gaps in both online and offline settings
Work With Domain Specific Data: Leverage proprietary structured and unstructured datasets
Scale ML Applications: Optimize and scale ML systems to support high demand
Reduce Technical Debt: Proactively identify areas of the stack that can be improved
Taking Initiative: Scope, plan, and execute ML initiatives that develop core capabilities across Kensho products
Collaborate Across Teams: Work closely with Data, Product, Design, and Engineering teams
Improve User Experiences: Partner with Product and Design to develop ML-driven functionality

Nice to have:

Experience working with RAG based system

Other:

Health & Wellness: Health care coverage designed for the mind and body
Flexible Downtime: Generous time off helps keep you energized for your time on
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too
Integrity, Discovery, Partnership: Our Values

Machine Learning Engineer

Skills Required

Description