Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Segment: Market Intelligence
The Role: Lead Machine Learning Engineer
Grade (relevant for internal applicants only): : 11
The Location: Gurgaon/Hyderabad/Ahmedabad
The Role: As a ML Engineer in the S&P Global Data Science team, you will work on multiple data science projects in collaboration with internal and external project owners on the product, commercial, and data team. You will be responsible for providing machine learning engineers support, create data pipeline for modeling, scale models, develop APIs to help move machine learning models in productions. You will collaborate with the data scientists and production-oriented software engineers
The Team: You will be part of a rapidly growing organization, joining the team of highly motivated and professional Data Scientists and Machine Learning Engineers within S & P Global Market Intelligence division. Market Intelligence provides financial and industry data, research, news and analytics to investment professionals, government agencies, corporations, and universities worldwide. We integrate news, comprehensive market and sector-specific data and analytics into a variety of tools to help clients track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuations, and assess credit risk.
We are looking for candidates from a diverse pool of graduate & postgraduate institutions that are passionate to build, scale and deploy Machine Learning Models that provide timely and essential intelligence to our disparate array of customers across the globe.
What’s in it for you:
We provide a highly inclusive work environment where in you can bring your whole self to work to assist S&P Global in achieving its mission of being one of the leading providers of the highest quality risk evaluations and analytical information to the world’s financial markets. As an integral part of our team, you will be working on cutting edge state-of-the-art technology stack. In this role, you will work on multiple data science projects in collaboration with internal and external project owners on the product, commercial, and data team. You will be responsible for providing machine learning engineers support, create data pipeline for modeling, scale models, develop APIs to help move machine learning models in productions. You will collaborate with the data scientists and production-oriented software engineers
Responsibilities:
What We’re Looking For:
Basic Qualifications:
S&P Global Inc. (prior to April 2016 McGraw Hill Financial, Inc., and prior to 2013 McGraw–Hill Companies) is an American publicly traded corporation headquartered in Manhattan, New York City. Its primary areas of business are financial information and analytics. It is the parent company of S&P Global Ratings, S&P Global Market Intelligence, and S&P Global Platts, CRISIL, and is the majority owner of the S&P Dow Jones Indices joint venture.
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