AI/ML Engineer
Summary
Design and implement scalable AI/ML solutions using Python and Databricks, integrating LLMs like Google’s Gemini API into enterprise applications on Google Cloud.
Face to Face interview mandatry Hybrid Role Need Locals only Key Responsibilities • Design and implement scalable AI/ML solutions using Python and Databricks, ensuring high performance and operational efficiency. • Develop cloud-native AI applications on Google Cloud using Cloud Run, AlloyDB, and API Gateway. • Build secure and scalable backend APIs supporting AI-driven business capabilities. • Integrate Large Language Models (LLMs), including Google''s Gemini API, into enterprise applications.…