Data Scientist 

Job Opening: Data Scientist / AI-ML Engineer (Generative AI & AI Agents)

Location: Bengaluru
Experience: 2+ Years (Immediate Joiners Preferred)
Job Type: Full-time
Work Mode: Work from Office

Job Overview

We are seeking a passionate and highly skilled Data Scientist / AI-ML Engineer with strong expertise in Generative AI to design, build, and deploy intelligent, production-ready AI solutions. This role involves working across the complete AI/ML lifecycle—from solution design and experimentation to deployment and optimization—with a strong focus on LLMs, RAG pipelines, AI agents, and real-world POC development.

You will work on cutting-edge technologies including Large Language Models, Agentic AI, NLP, Computer Vision, and Vector Database-powered retrieval systems to create next-generation intelligent applications.

Roles & Responsibilities

• Design, develop, fine-tune, and deploy end-to-end AI/ML solutions.

• Work with both proprietary LLMs (OpenAI GPT, Claude, Gemini) and open-source models (BERT, LLaMA, Mistral, Gemma).

• Architect and implement RAG pipelines using frameworks such as LangChain, LangGraph, CrewAI, and LlamaIndex.

• Build and integrate AI agents, agentic workflows, and chatbot solutions for real-world use cases.

• Implement semantic search and retrieval using Vector Databases like FAISS, Milvus, Qdrant, Weaviate, pgvector, and ChromaDB.

• Apply prompt engineering, few-shot learning, and optimization techniques to improve model performance.

• Develop computer vision solutions using OpenCV and YOLO for object detection and image/video analytics.

• Build scalable APIs and backend services using FastAPI or Flask.

• Perform exploratory data analysis (EDA), visualization, and ensure model explainability.

• Deploy and manage AI/ML workloads on AWS, Azure, or GCP.

• Rapidly develop proof-of-concepts (POCs) and collaborate with cross-functional teams.

• Maintain version-controlled, reproducible, and scalable ML pipelines.

Must-Have Skills

• Programming & Frameworks: Python, FastAPI

• GenAI & LLMs: GPT, Claude, Gemini, BERT, LLaMA, Mistral, Gemma, HuggingFace Transformers

• Agent & RAG Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex

• Vector Databases: FAISS, Milvus, Qdrant, Weaviate, pgvector, ChromaDB

• Computer Vision: OpenCV, YOLO

• NLP & RAG: Text classification, summarization, NER, prompt design, retrieval-augmented generation

• Model Lifecycle: Design, training, fine-tuning, quantization, deployment

• Cloud Platforms: AWS, Azure, GCP

• Databases: PostgreSQL, MySQL, SQLite, MongoDB (optional)

• Visualization: Matplotlib, Seaborn, Plotly, Streamlit

• Tools & OS: Linux, Git, HuggingFace, Docker (optional)

Nice-to-Have

• Contributions to open-source or active GitHub projects.

• Experience with multi-modal LLMs.

• Strong foundation in statistics or academic research.

• Exposure to startup environments, rapid experimentation, and POC-driven development.

Educational Qualification

• B.Tech / M.Tech / MCA / BCA or Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or a related field.

Tagged as: Full Time