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

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Skills you'll use

What you'll do

• 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.

Who can apply

• 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.
• 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

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