AI/ML Engineer - 5+ years - Bangalore

Role: AI/ML Engineer Duration : 12+ months Location: Bangalore Detailed Description: Databricks expertise needed Objectives of the role: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems. Own production rollouts of consumer and internally facing GenAI applications Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap Required /Proven experience with the following: Experience in building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience in building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience in using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets We require fluency in English and willingness to work across time zones. Role: AI/ML Engineer Duration : 12+ months Location: Bangalore Detailed Description: Databricks expertise needed Objectives of the role: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems. Own production rollouts of consumer and internally facing GenAI applications Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap Required /Proven experience with the following: Experience in building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience in building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience in using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets We require fluency in English and willingness to work across time zones.