Title:  MLOps Engineer

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to 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 www.careers.indegene.com

Looking to jump-start your career?

We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene’s high-speed growth.

We are purpose-driven.  We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

If this excites you, then apply below.

Role: MLOps Engineer

Description: As a Databricks MLOps Engineer, you will manage the full lifecycle of machine learning models, from deployment to monitoring and retraining, using Databricks and cloud platforms. You will be responsible for deploying and maintaining robust CI/CD pipelines, troubleshooting pipeline issues, and ensuring model performance remains optimal in production environments. Key responsibilities include:

- Managing and automating end-to-end ML pipeline deployments using Jenkins and Databricks
- Collaborating with Data Science teams to ensure proper data mapping, model training, and validation
- Conducting RCA for pipeline and model failures, ensuring timely resolution with Platform or Data Science teams
- Verifying table schema consistency across Dev, QA, and Production environments to ensure data integrity
- Monitoring production models for performance degradation, tracking metrics, and handling data drift
- Implementing periodic model retraining workflows, ensuring model performance is maintained
- Contributing to automation improvements and developing monitoring dashboards for key model metrics

Desired Profile / Skills

- 3-5 years of experience in MLOps
- Strong understanding of Databricks, Jenkins CI/CD, and cloud platforms (AWS, Azure)
- Hands-on experience in model monitoring, drift detection, and retraining automation
- Proven track record of troubleshooting and optimizing data pipelines and ML workflows
- Excellent collaboration skills to work with cross-functional teams, including Data Science and Platform Engineering
- Strong interpersonal skills

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.