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Lead ML Engineer

7.00 to 10.00 Years   India,Gurgaon / Gurugram   02 Jul, 2023
S&P Global Market Intelligence
Job LocationIndia,Gurgaon / Gurugram
EducationNot Mentioned
SalaryNot Mentioned
IndustryBanking / Accounting / Financial Services
Functional AreaData Management
EmploymentTypeFull-time

Job Description

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.Whats in it for you: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 deploymentResponsibilities:

  • Design, Develop and Deploy ML powered products and pipelines
  • 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:
    • Designing Machine Learning systems and model scaling strategies
    • Research & Implement ML and Deep learning algorithms for production
    • Run necessary ML tests and benchmarks for model validation
    • Fine-tune, retrain and scale existing model deployments
    • Extend existing ML librarys and write packages for reproducing components
    • Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements
    • Interpret results and present them to business leaders
    • Manage production pipelines for enterprise scale projects
    • Perform code reviews & optimization for your projects and team
    • Lead and mentor by example, including project scrums
Technical Requirements:
  • 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
  • Excellent knowledge of ML & Deep Learning domain
  • Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale
  • Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Docker, Airflow, Redis, Celery, Flask/Django/FastAPI, PySpark, Scrapy
  • Experience with SOTA models related to NLP like Topic modelling, Q&A, Summarization, Phrase extraction, custom NER models, Table Extraction, OCR and GNNs.
  • Open to learning new technologies and programming languages as required
  • A Masters / PhD from a recognized institute in a relevant specialization
Good to have:
  • 6-7+ years of relevant experience in ML Engineering
  • Prior substantial experience from the Economics/Financial industry
  • Prior work to show on Github, Kaggle, StackOverflow etc.
-----------------------------------------------------------Equal Opportunity EmployerS&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: and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. -----------------------------------------------------------DTMGOP103.2 - Middle Management Tier II (EEO Job Group)

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