AI/ML Engineer

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.

Artificial Intelligence (AI), Data Management, Machine Learning, Scalable System Development, Artificial Intelligence (AI), Performance Tuning/Optimization, Software Development, Healthcare, Banking Services, Essential Skills: 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.Strong expertise in Databricks and data engineering is essential. Proficiency in machine learning and AI model deployment is critical. Experience with cloud platforms like Azure or AWS is necessary. Familiarity with data pipeline design and optimization is required. Knowledge of generative AI technologies is a must.