Description

You will design and deploy production-ready ML/DL models, LLM-based solutions, and Agentic AI systems. Your work spans the full lifecycle from data pipeline architecture to model integration and deployment.

Responsibilities

• Develop and deploy ML/DL models and LLM-based solutions for business use cases.
• Build Generative AI applications using RAG, prompt engineering, and model fine-tuning.
• Design and maintain Snowflake and Snowpark-based data pipelines.
• Architect Agentic AI systems featuring self-evolution and multi-agent collaboration.
• Integrate foundation models (Claude, DeepSeek) and collaborate with engineering teams for production readiness.

Required Skills

• 6+ years of experience in Data Science, AI, or Machine Learning.
• Strong proficiency in Python, ML/DL frameworks, and NLP.
• Hands-on experience with Generative AI, RAG architectures, and prompt engineering.
• Practical experience with Snowflake and Snowpark for data engineering.
• Exposure to Agentic AI or multi-agent system design.
• Familiarity with large language models such as Claude, DeepSeek, or similar.
• Cloud platform experience (AWS, Azure, or GCP).

Preferred Skills

• Exploration of Quantum-powered AI concepts for advanced use cases.

Key Skills

Education

Any Gradute