Data Scientist

Location: Bengaluru

Role:  Data Scientist

Experience:

7-12years
Mode of work:  Hybrid

Job Summa ry
We are looking for an experience d Data Scientist – Generative  AI with strong expertise i n Google Vertex AI, Retrieval Augmented Generation (RAG), Prompt Engineering, Large Language Models (LLMs), and OpenAI technologi es. The candidate will design, develop, and deploy AI-powered solutions that leverage enterprise data, advanced NLP techniques, and cloud-based AI platform s.

Key Responsibilities
Generative AI & LLM Development
Design and develop Generative AI solutions using  LLMs, foundation models, and multimodal AI capabilities .
Work with models from platforms such as  OpenAI, Google Gemini, Vertex AI Model Garden, and open-source LLMs .
Build AI assistants, knowledge management systems, document intelligence solutions, and conversational AI applications.
Evaluate and fine-tune LLM performance for enterprise use cases.
Vertex AI & Google Cloud AI
Develop and deploy ML/GenAI solutions using  Google Cloud Vertex AI .
Build pipelines using Vertex AI Studio, Vertex AI Workbench, Model Registry, and Generative AI APIs.
Implement model deployment, monitoring, evaluation, and governance workflows.
Integrate Vertex AI with enterprise data sources and cloud services.
Retrieval Augmented Generation (RAG)
Design and implement scalable  RAG architectures .
Build document ingestion pipelines including:
Data extraction
Chunking strategies
Embedding generation
Vector search
Retrieval optimization
Work with vector databases such as:
Vertex AI Vector Search
Pinecone
FAISS
ChromaDB
Weaviate
Improve retrieval accuracy using hybrid search, reranking, metadata filtering, and evaluation frameworks.
Prompt Engineering
Create and optimize prompts for LLM-based applications.
Develop:
Few-shot prompting
Chain-of-thought prompting strategies
Structured output prompting
Agent-based workflows
Prompt templates
Perform prompt evaluation and optimization for accuracy, relevance, and cost efficiency.