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GSK India
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Senior Lead Data Scientist

Senior Lead Data Scientist

GSK India

7 - 12 years

9 - 14 Lacs

Bengaluru

Posted:13 hours ago| Platform:

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Skills Required

Procurement Computer science GCP Analytical Machine learning Healthcare Oncology Application development Life sciences Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Overview:

The Senior Lead Data Scientist is a senior technical leader responsible for designing, developing advanced data and AI solutions, with a strategic focus on leveraging Generative AI technologies (e.g., large language models, diffusion models, multi-modal systems) to solve complex business problems. This role combines deep expertise in data science, machine learning, and AI architecture with a strong understanding of product strategy, cross-functional leadership, and ethical AI deployment.

Key Responsibilities:

Design and implement advanced solutions utilizing Large Language Models (LLMs).
Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
Conduct research and stay informed about the latest developments in generative AI and LLMs.
Develop and maintain code libraries, tools, and frameworks to support generative AI development.
Participate in code reviews and contribute to maintaining high code quality standards.
Possess strong analytical and problem-solving skills.
Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Skills & Qualifications:

Must Have Skills:

7 to 12 years of experience in IT
Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as RLHF.
Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP.
Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.

Tech Skills :
Machine Learning (ML) & Deep Learning

Solid understanding of supervised and unsupervised learning.
Proficiency with deep learning architectures like Transformers, LSTMs, RNNs, etc.

Generative AI:

Hands-on experience with models such as OpenAI, Gemini etc.
Knowledge of optimizing large language models (LLMs) for specific tasks.

Natural Language Processing (NLP):

Expertise in NLP techniques, including text preprocessing, tokenization, embeddings, and sentiment analysis.
Familiarity with NLP tasks such as text classification, summarization, translation, and question-answering.

Retrieval-Augmented Generation (RAG):

In-depth understanding of RAG pipelines, including knowledge retrieval techniques like dense/sparse retrieval.
Experience integrating generative models with external knowledge bases or databases to augment responses.

Search and Retrieval Systems:

Experience with building or integrating search and retrieval systems, leveraging knowledge of Elasticsearch, AI Search, ChromaDB etc.

Prompt Engineering:

Expertise in crafting, fine-tuning, and optimizing prompts to improve model output quality and ensure desired results.
Understanding how to guide large language models (LLMs) to achieve specific outcomes by using different prompt formats, strategies, and constraints.
Knowledge of techniques like few-shot, zero-shot, and one-shot prompting, as well as using system and user prompts for enhanced model performance.

Programming & Libraries:

Proficiency in Python and libraries such as PyTorch, Hugging Face, etc.
Knowledge of version control (Git), cloud platforms (AWS, GCP, Azure).

APIs & Integration:

Ability to work with RESTful APIs and integrate generative models into applications.

Evaluation & Benchmarking:

Strong understanding of metrics and evaluation techniques for generative models.

Good to Have Skills:

Advanced Degree: Master s degree in computer science or relevant field.
Life Sciences Experience: Experience in Life sciences/Healthcare Industry
Azure Certification: Azure Cloud experience/certification.
Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.).
Knowledge of Knowledge Graphs and Symbolic AI .
Understanding of MLOps and LLMOps for deploying scalable AI solutions.

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GSK India

Pharmaceuticals & Biotechnology

Mumbai

Approximately 2,000 Employees

38 Jobs

Key People

Vas Narasimhan

CEO of GSK
Diana W. Bianchi

Chief Scientific Officer

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Senior Lead Data Scientist