MLOps Engineer

Date: 8 Oct 2025

Location:KA, IN

Job Description

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. To explore exciting opportunities at the convergence of healthcare and technology, check out

What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it?

We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you.

We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fuelled by purpose. The combination of this will lead to a truly differentiated experience for you.

If this excites you, then apply below.

Job Title: MLOps Engineer

Description: 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

Must Have

Required Skills & Qualifications

• 3+ years of experience as an MLOps Engineer, Data Engineer, or similar role.
• Strong expertise in Databricks for model deployment and data engineering.
• Proficiency in Python and PySpark for data processing and ML workflow automation.
• Solid SQL skills for querying and manipulating structured data.
• Hands-on experience with CI/CD tools like Jenkins.
• Experience with SonarQube for code quality checks.
• Familiarity with Git for version control and Jira for task/project management.
• Understanding of ML model lifecycle, including training, validation, deployment, and monitoring.
• Strong problem-solving skills and ability to work in cross-functional teams.

Preferred Skills

• Experience with AWS, Azure, or GCP for cloud-based ML solutions.
• Exposure to MLflow for experiment tracking and model registry.
• Understanding of security best practices in ML pipelines.

Good to have

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate's merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.