About the Company: We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations be future ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship, and is guided by passion, innovation, collaboration and empathy.

About the Role: We are seeking an experienced MLOps Engineer to join our team and play a key role in deploying, automating, monitoring, and optimizing machine learning solutions. The ideal candidate will have strong experience with Databricks, SQL, Python, PySpark, and CI/CD pipelines, along with hands-on exposure to Jenkins, SonarQube, Jira, and Git. You will collaborate with data scientists, data engineers, and DevOps teams to streamline the ML lifecycle — from model development to production deployment and monitoring.

Key Responsibilities: •    Design, implement, and maintain MLOps pipelines for machine learning model deployment and monitoring. •    Collaborate with data scientists to package and deploy ML models in Databricks environments. •    Develop scalable data processing pipelines using PySpark and SQL. •    Implement CI/CD pipelines for ML workflows using Jenkins and ensure code quality with SonarQube. •    Integrate ML workflows with version control systems (Git) and project management tools (Jira). •    Automate data ingestion, feature engineering, model training, evaluation, and deployment processes. •    Monitor deployed models for performance drift, accuracy, and operational issues. •    Troubleshoot, optimize, and refactor ML pipelines for better efficiency and reliability. •    Enforce coding standards, security best practices, and compliance requirements. •    Experience in Lake House monitoring for model monitoring and feature store •    Orchestration of ML jobs jobs in Jenkins