Description

You will develop and deploy production-ready ML/DL models and LLM-based solutions, including Generative AI applications using RAG, prompt engineering, and fine-tuning.

Responsibilities

• Architect Snowflake + Snowpark-based data pipelines for scalable data processing.
• Design and implement Agentic AI systems featuring self-evolution and multi-agent collaboration.
• Integrate foundation models such as Claude and DeepSeek into production environments.
• Collaborate with business and engineering teams to deliver end-to-end AI solutions.
• Explore Quantum-powered AI concepts for advanced use cases.

Required Skills

• 6+ years of experience in Data Science, AI, or ML.
• Strong proficiency in Python, ML/DL, NLP, and LLMs.
• Hands-on experience with Generative AI, RAG architectures, and prompt engineering.
• Practical experience with Snowflake and Snowpark.
• Familiarity with Agentic AI or multi-agent systems.
• Cloud platform experience (AWS, Azure, or GCP).
• Proficiency in SQL for data querying and manipulation.

Preferred Skills

• Experience with MLOps and scalable model deployments.
• Exposure to self-evolving AI systems or autonomous agents.

Key Skills

Education

Any Graduate