Jobs → Data & Analytics → Databricks AI Engineer

About the Role We are seeking a Databricks AI Engineer to design and develop scalable data pipelines using Databricks. This role involves implementing machine learning models and MLOps practices to optimize workflows for performance and cost efficiency. Key Responsibilities • Design and develop scalable data pipelines using Databricks • Implement machine learning models and MLOps practices • Optimize workflows for performance and cost efficiency • Collaborate with stakeholders to deliver AI-driven solutions • Develop generative AI applications and integrate various AI technologies Requirements • Strong expertise in Databricks and data engineering • Proficiency in machine learning and AI model deployment • Experience with cloud platforms like Azure or AWS • Familiarity with data pipeline design and optimization • Knowledge of generative AI technologies • Experience in healthcare or banking domains is beneficial • Familiarity with AI governance and agentic AI is a plus • Knowledge of MLOps practices is advantageous • Understanding of data modernization programs is helpful • Certification in Databricks or machine learning is preferred