Senior Associate – Data Scientist, Advisory

Overview

Design, build and deploy scalable Generative AI solutions using large language models and transformer architectures, integrating GenAI capabilities into enterprise systems.

What you'll do

• Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon).
• Fine-tune and customize foundation models using domain-specific datasets and techniques.
• Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses.
• Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain.
• Implement agentic AI solutions using Crew.ai or LangChain.
• Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP).
• Work with Azure/GCP/AWS AI platforms such as Azure AI Foundry or GCP Vertex.
• Ensure robustness, scalability, and compliance of AI models in deployment environments.
• Integrate GenAI into enterprise applications via APIs or custom interfaces.
• Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.
• Keep up to date with the latest research in GenAI, foundation models, and relevant open-source tools.

What you'll need

• Generative AI (LLMs, Transformers).
• Python, PyTorch, Hugging Face Transformers.
• Azure/AWS/GCP cloud platforms.
• LangChain/LangGraph or similar orchestration frameworks.
• REST APIs, FastAPI, Flask.
• ML pipeline tools (MLflow, Weights & Biases).
• Git, CI/CD for ML (e.g., Azure ML, SageMaker pipelines).
• 4 to 7 years of experience required.
• Bachelor of Technology (B.E/B.Tech/M.Tech/MCA).

Nice to have

• Experience in finetuning models.
• Experience in SLM.
• RAG (Retrieval-Augmented Generation).
• Vector DBs (FAISS, Pinecone, Weaviate).
• Streamlit/Gradio for prototyping.
• Docker, Kubernetes (for model deployment).
• Data preprocessing and feature engineering.
• NLP libraries: spaCy, NLTK, Transformers.

Details

• Location: Bengaluru Millenia.
• Management level: Senior Associate.
• Visa sponsorship: No.
• Government clearance required: No.
• Job posting end date: September 15, 2026.