Senior Customer Success Engineer (Remote)...

S&P Enterprise Data Organization Senior ML Engineer

The Team : As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead deployment of AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative.

Be a part of a global company and build solutions at enterprise scale Lead a highly skilled and technically strong team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment

Mentor a team of Senior and Junior data scientists / ML Engineers in delivering large scale projects

Play a central role in all stages of the AI product development life cycle, including :

Run necessary ML tests and benchmarks for model validation

Fine-tune, retrain and scale existing model deployments

Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements

Manage production pipelines for enterprise scale projects

Perform code reviews & optimization for your projects and team

Lead and mentor by example, including project scrums

Proven track record as a senior / lead ML engineer

Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch / TF2, HuggingFace etc.)

Excellent exposure to large scale model deployment strategies and tools

Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale

Exposure to the following technologies - R-Shiny / Dash / Streamlit, SQL, Airflow, Redis, Celery, Flask / Django / FastAPI, Scrapy

A Master’s / PhD from a recognized institute in a relevant specialization

5+ years of relevant experience in ML Engineering

~ Prior work to show on Github, Kaggle, StackOverflow etc.

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race / ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.