The Team: As a member of the Data Transformation - Cognitive Engineering team you will work on building 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 other clients. You will learn how to develop production-ready 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. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Work with a highly skilled and hands-on technical team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment Responsibilities: Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Perform exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization Participate in deployment and model scaling strategies Stakeholder management Technical Requirements: Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Good knowledge & learning aptitude towards ML & Deep Learning models Good understanding of statistics and mathematics behind machine learning Ability to read current research in the AI space Experience with at least 1 project related to Table Extraction, NLP based Q&A, Summarization, Phrase extraction, custom NER models, OCR or GNNs. Exposure some of the following technologies - R-Shiny/Dash/Streamlit, SQL, Docker, Airflow, Redis, Flask/Django/FastAPI, PySpark Open to learning new technologies and programming languages as required Good to have: A Master’s degree (minimum Bachelor’s degree) from a recognized institute Around 2-3 years of relevant experience in Data Science domain Prior experience from the Economics/Financial industry Some prior work to show on Github, Kaggle, StackOverflow etc. Location: Gurgaon, Hyderabad, Mumbai, Bangalore (India) Grade: 9 ----------------------------------------------------------- Equal Opportunity Employer 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. If you need an accommodation during the application process due to a disability, please send an email to: [email protected] and your request will be forwarded to the appropriate person.  US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. ----------------------------------------------------------- DTMGOP202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 280415 Posted On: 2023-01-30 Location: Gurgaon, Haryana, India