Lead Data Scientist

ConfidentialBengaluru / Bangalore, Hyderabad / Secunderabad, Telangana

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 • Bengaluru / Bangalore, Hyderabad / Secunderabad, Telangana

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