This job offer is not available in your country.

MLOps Engineer

RecroBangalore

21 days ago

Job description

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 :

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.

ref : hirist.tech)

Create a job alert for this search

Mlops Engineer • Bangalore