MLOps Engineer

Job Title : ML Ops Engineer.

Experience : 5 Years.

Location : Remote (India).

Job Overview :

We are seeking a highly skilled MLOps Engineer with over 5 years of experience in Software Engineering and Machine Learning Operations.

The ideal candidate will have hands-on experience with AWS (particularly SageMaker), MLflow, and other MLOps tools, and a strong understanding of building scalable, secure, and production-ready ML systems.

Key Responsibilities :

- Design, implement, and maintain scalable MLOps pipelines and infrastructure.

- Work with cross-functional teams to support end-to-end ML lifecycle including model development, deployment, monitoring, and governance.

- Leverage AWS services, particularly SageMaker, to manage model training and deployment.

- Apply best practices for CI/CD, model versioning, reproducibility, and operational monitoring.

- Participate in MLOps research and help drive innovation across the team.

- Contribute to the design of secure, reliable, and scalable ML solutions in a production environment.

Required Skills :

- 5+ years of experience in Software Engineering and MLOps.

- Strong experience with AWS, especially SageMaker.

- Experience with MLflow or similar tools for model tracking and lifecycle management.

- Familiarity with AWS Data Zone is a strong plus.

- Proficiency in Python; experience with R, Scala, or Apache Spark is a plus.

- Solid understanding of software engineering principles, version control, and testing practices.

- Experience deploying and maintaining models in production environments.

Preferred Attributes :

- Strong analytical thinking and problem-solving skills.

- A proactive mindset with the ability to contribute to MLOps research and process improvements.

- Self-motivated and able to work effectively in a remote setting.