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Lead Data Scientist

Lead Data Scientist

ConfidentialHyderabad / Secunderabad, Telangana, Bengaluru / Bangalore
30+ days ago
Job description

The Team  :

  • As a member of the Commodity Insights you will work on building and deploying ML / LLM 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 be responsible for the management, deployment and optimization of ML Models 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 :

  • Exciting tasks and the team with own product development in the space of intelligent data solutions based on Machine Learning
  • Responsibilities :

  • 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 library s 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 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
  • Knowledge in AWS Technologies : Terraform, CFT, Lambda, Fargate, ECS and also in SQL, containerization and Django.
  • Experience with SOTA models related to NLP like Classification, Summarization, Phrase extraction, Table Extraction and OCR
  • Open to learning new technologies and programming languages as required
  • Knowledge in model monitoring and retrain & tuning of models
  • Good to have :

  • 4+ years of relevant experience in ML Engineering
  • Prior substantial experience regarding document processing
  • Skills Required

    Machine Learning, Natural Language Processing, Python, Deep Learning, Aws

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    Lead Data Scientist • Hyderabad / Secunderabad, Telangana, Bengaluru / Bangalore

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