Data Scientist / AI-ML Engineer (AI Agents & Machine Learning) (gen ai mandatory)

Job Title: Data Scientist / AI-ML Engineer (AI Agents & Machine Learning) (gen ai mandatory)
Experience: 2+ Years (immediate)
Location: Bangalore

We are looking for a passionate and highly skilled AI/ML Developer / Data Scientist with proven experience in designing, building, and deploying intelligent systems using cutting-edge AI technologies. The ideal candidate will have hands-on expertise in Large Language Models (LLMs), Machine Learning, Deep Learning, Prompt Engineering, Vector Databases, and Agent Frameworks.
This role spans the entire AI/ML lifecycle — from ideation and architecture to deployment and optimization — with a strong emphasis on RAG pipelines, NLP, chatbot frameworks, and proof-of-concept (POC) development. You’ll be working at the forefront of Generative AI, LLMs, Computer Vision, and Vector Database-powered RAG systems to create next-generation intelligent applications.

Key Responsibilities

• Design, develop, fine-tune, and deploy end-to-end AI/ML solutions.
• Work with both closed-source LLMs (OpenAI GPT, Claude, Gemini) and open-source models (BERT, LLaMA, Mistral, Gemma).
• Architect and implement RAG pipelines using LangChain, LangGraph, CrewAI, and LlamaIndex.
• Build and integrate AI agents, Agentic AI workflows, and chatbots for real-world applications.
• Utilize Vector Databases (FAISS, Milvus, Qdrant, Weaviate, pgvector, ChromaDB) for semantic search and retrieval.
• Apply prompt engineering and few-shot learning to optimize model outputs.
• Develop computer vision solutions using YOLO and OpenCV for object detection, tracking, and video/image analytics.
• Create scalable APIs and backends with FastAPI or Flask.
• Perform EDA, data visualization, and ensure model explainability.
• Deploy and manage AI/ML models on AWS, Azure, or GCP.
• Rapidly deliver POCs and collaborate with cross-functional teams to validate solutions.
• Maintain version-controlled, reproducible ML pipelines.

Must-Have Skills

• Programming & Frameworks: Python, FastAPI
• GenAI & LLMs: GPT, Claude, Gemini, BERT, LLaMA, Mistral, Gemma, HuggingFace Transformers
• Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex
• Vector Databases: FAISS, Milvus, Qdrant, Weaviate, pgvector, ChromaDB
• Computer Vision: OpenCV, YOLO object detection
• NLP & RAG: Text classification, summarization, NER, prompt design, RAG pipelines
• Model Lifecycle: Design, training, quantization, fine-tuning, deployment
• Cloud: AWS, Azure, GCP
• Databases: SQLite, PostgreSQL, MySQL, MongoDB (optional)
• Visualization Tools: Matplotlib, Seaborn, Plotly, Streamlit
• OS & Tools: Linux (CLI, scripting), Docker (optional), HuggingFace, chatbot platforms

Nice-to-Have

• Contributions to open-source or GitHub projects
• Experience with multi-modal LLMs
• Strong background in statistics or academic research
• Familiarity with startup-style POC pipelines and rapid experimentation

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.