MLOps Engineer (3-8 yrs)

We are looking for a strong MLOps Engineer with proven experience in building and managing scalable ML infrastructure. The ideal candidate will have hands-on expertise in Kubernetes, model deployment, Docker, Jenkins, and monitoring tools like Prometheus.

Responsibilities :

- Design, build, and maintain MLOps pipelines to automate model training, validation, deployment, and monitoring.

- Containerize ML applications using Docker and manage deployments via Kubernetes.

- Integrate CI/CD pipelines using Jenkins for continuous delivery of ML models.

- Monitor and optimize the performance of models in production using tools like Prometheus.

- Collaborate with Data Scientists and DevOps teams to ensure smooth deployment and scaling of ML models.

Requirements :

- Minimum 3+ years of hands-on experience in MLOps practices.

- Strong working knowledge of Kubernetes, Docker, and CI/CD pipelines (Jenkins).

- Experience with monitoring tools such as Prometheus or similar.

- Solid understanding of model lifecycle management and deployment best practices.

- Proficient in Python or other scripting languages.

- Must be based in Bengaluru and open to working onsite from the client location.

Nice to Have :

- Experience with cloud platforms (AWS/GCP/Azure).

- Familiarity with MLflow, Kubeflow, or similar MLOps frameworks.