Lead Data Scientist

Qualifications and Job Requirements:

• Extensive experience with Python, Java and AI/ML libraries is required.
• Experience with BoT development, Authorization frameworks like OAuth.
• Technical exposure to Gen AI, LLM and developer tools (e.g., Lang Chain, Hugging Face, OpenAI APIs, or similar)
• Hands-on experience with cloud-native development on major cloud platforms (Azure, GCP, AWS) is essential.
• Expertise in Agentic AI or similar AI agent frameworks for developing autonomous systems.
• Familiarity with cloud engineering infrastructure and containerization (Kubernetes, Docker).
• Expertise in RESTful APIs, GraphQL, and microservices architecture. Experience with no SQL databases (Cosmos dB, PostgreSQL, MongoDB, etc.)
• Experience with web development - nodejs, react.
• Proficiency in using vector databases and Retrieval-Augmented Generation (RAG) techniques to ground AI models with external data and prevent hallucinations .
• Experience setting up custom MCP server and adding Tools/Functions Experience with AI-driven chatbots, recommendation systems, or intelligent automation
• Good to have experience with frontend frameworks (React, Angular, or Vue.js) for AI application development .The ideal candidate will have a strong background in software engineering, a deep understanding of AI principles, and hands-on experience with the tools and frameworks necessary to create intelligent, self-directed agents.