Mid Senior Data Scientist (Generative AI / LLM) | 4 to 8 years

Job Description – Mid Senior Data Scientist (Generative AI / LLM)

Position: Permanent

Role: Senior Data Scientist – Generative AI & Large Language Models (LLM)

Experience: 4–8 Years

Location: Bangalore, India

Shift: General Shift

Work Mode: Hybrid

Package: 22 LPA Max

Key Skills

• Machine Learning (ML)
• Deep Learning
• Generative AI
• Large Language Models (LLM)
• Retrieval-Augmented Generation (RAG)
• Transformer Models
• Natural Language Processing (NLP)
• Python
• Prompt Engineering
• AI Agent Frameworks
• MLOps

About the Role

We are looking for an experienced Senior Data Scientist with strong expertise in Generative AI, Large Language Models (LLMs), and Transformer architectures. The ideal candidate will be responsible for designing and developing next-generation AI solutions focused on:

• Document Summarization
• Intelligent Text Classification
• Conversational AI Systems
• Question-Answering Applications
• Structured and Unstructured Data Processing

The role requires hands-on experience in researching, experimenting, and implementing state-of-the-art AI techniques to build scalable, secure, and impactful Generative AI applications that enhance both customer and employee experiences.

Key Responsibilities

• Design and develop AI-powered solutions for:
• Document Summarization
• Text Classification
• Question-Answering Systems
• Conversational AI Applications
• Build and optimize applications using:
• Large Language Models (LLMs)
• Transformer Architectures
• Retrieval-Augmented Generation (RAG) Frameworks
• Design and implement:
• AI Safety Mechanisms
• Responsible AI Practices
• Guardrails at Application and API Layers
• Collaborate with:
• Product Teams
• Engineering Teams
• Research Teams
• Business Stakeholders
• Conduct research and experimentation with:
• Machine Learning
• Deep Learning
• Generative AI Techniques
• Develop and deploy scalable AI models and implement:
• Model Evaluation Frameworks
• Monitoring and Performance Optimization
• Production Best Practices
• Stay updated with the latest advancements in:
• Data Science
• NLP
• Generative AI
• LLM Ecosystem and Emerging AI Technologies

Required Skills & ExpertiseTechnical Skills

• Strong experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP).
• Hands-on experience with Large Language Models (LLMs) and Transformer-based architectures.
• Experience in building RAG-based applications, Prompt Engineering, and AI Agent Frameworks.
• Proficiency in Python and AI/ML frameworks such as:
• PyTorch
• TensorFlow
• Hugging Face
• LangChain
• Vector Databases
• Experience with:
• Model Deployment
• API Development & Integration
• MLOps Practices (Preferred)

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work in a fast-paced, collaborative, and research-driven environment.