Data Scientist / AI-ML Engineer

Job Responsibilities and Requirements:

• Lead the design, development, and production deployment of AI/ML solutions across Machine Learning, GenAI, Agentic AI, and analytics use cases.
• Build scalable ML and GenAI systems using Databricks and Snowflake.
• Develop solutions leveraging Machine Learning, Deep Learning, NLP, GenAI/RAG, and Agentic AI.
• Drive MLOps practices for model deployment, monitoring, scalability, and lifecycle management.
• Work extensively with Python, SQL, PySpark, Databricks, APIs, and enterprise data platforms.
• Design and integrate APIs for deploying AI/ML models into enterprise applications.
• Develop AI/ML solutions for use cases such as recommendation systems and forecasting.
• Collaborate with engineering, data, and business teams to deliver scalable and production-ready AI solutions.