Senior Data Scientist - Gen AI

Tredence; Bengaluru; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Tredence seeks a Senior Data Scientist with hands-on GenAI experience to design and implement GenAI models and pipelines that tackle business problems and boost productivity. You will collaborate with cross-functional teams to deliver AI/ML solutions using LLMs, transformers and other generative techniques.

Key responsibilities include building GenAI-powered solutions, prompt engineering, model training, evaluation, and deploying pipelines in cloud environments.

Qualifications

• 5+ years in Data Science or AI roles, with 2+ years in GenAI/LLMs.
• Strong Python skills and experience with transformers and ML frameworks.
• Deep understanding of NLP, language modeling, and generative techniques.
• Experience with prompt engineering, fine-tuning, or few-shot learning.
• Hands-on with LangChain, LlamaIndex, or similar GenAI orchestration frameworks.
• Working knowledge of vector stores, embedding models, and retrieval.
• Experience deploying models in cloud or hybrid environments (Azure/AWS/GCP).
• Familiarity with MLOps best practices is a plus.

Responsibilities

• Develop and fine-tune Generative AI models using LLMs for summarization and content generation.
• Build end-to-end GenAI-powered solutions including prompt engineering and deployment.
• Use LangChain, LlamaIndex and vector databases to create RAG pipelines.
• Collaborate with product, engineering and business stakeholders to identify AI opportunities.
• Conduct experiments, evaluate model performance, and optimize accuracy and latency.
• Contribute to GenAI best practices and reusable assets within the org.
• Stay updated with GenAI research and developments in the LLM space.

Skills

GenAI

LLMs

Python

NLP

Prompt engineering

MLOps

Cloud deployment

Education

Masters or PhD in Computer Science, ML, AI

Tools

LangChain

LlamaIndex

FAISS

Pinecone

Weaviate

Hugging Face

PyTorch

TensorFlow

Job description

We are looking for a Senior Data Scientist with hands‑on experience in Generative AI (GenAI) to drive innovation through cutting‑edge AI/ML solutions. This role involves designing and implementing GenAI models and pipelines that solve business problems and enhance productivity. You will collaborate with cross-functional teams to deliver solutions using large language models (LLMs), transformers, and other generative techniques.

Key Responsibilities

• Develop and fine‑tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation, question answering, semantic search, etc.
• Build end‑to‑end GenAI‑powered solutions including prompt engineering, model training/fine‑tuning, evaluation, and deployment.
• Use frameworks like LangChain, LlamaIndex, and vector databases (e.g., FAISS, Pinecone, Weaviate) to build RAG (Retrieval‑Augmented Generation) pipelines.
• Collaborate with product, engineering, and business stakeholders to identify AI opportunities and prototype solutions.
• Conduct experiments, evaluate model performance, and optimize for accuracy, latency, and relevance.
• Contribute to the development of GenAI best practices and reusable assets within the organization.
• Stay up to date with the latest research and developments in the GenAI and LLM space.

Required Skills and Experience

• 5+ years of experience in Data Science or AI roles, with 2+ years in GenAI or LLMs.
• Strong Python skills and experience with transformers, Hugging Face, PyTorch, or TensorFlow.
• Deep understanding of NLP, language modeling, and generative techniques.
• Experience with prompt engineering, fine‑tuning or few‑shot learning.
• Hands‑on experience with LangChain, LlamaIndex, or similar GenAI orchestration frameworks.
• Working knowledge of vector stores, embedding models, and retrieval techniques.
• Experience with model deployment in cloud or hybrid environments (e.g., Azure, AWS, GCP).
• Familiarity with MLOps tools and best practices is a plus.

Preferred Qualifications

• Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Experience with OpenAI, Anthropic, Meta AI, or Google Cloud GenAI APIs.
• Background in chatbot development, co‑pilot solutions, or enterprise GenAI applications.
• Publications or contributions to open‑source projects in the GenAI space are a plus.