MLOps Engineer

Position : MLOps Engineer.

Experience : 7+ Years.

Location : Noida / Bengaluru.

Work Mode : Hybrid (Work From Office).

Job Description :

We are seeking a highly skilled and experienced MLOps Engineer with a strong background in machine learning infrastructure, DevOps practices, and cloud-native technologies.

The ideal candidate will have over 7 years of relevant experience and a deep understanding of the end-to-end machine learning lifecycle, including data pipelines, model training, deployment, and monitoring.

Key Responsibilities :

• Design, build, and manage scalable MLOps pipelines and infrastructure to support machine learning model development and deployment.
• Collaborate with Data Scientists, Engineers, and Product teams to ensure seamless integration of ML models into production systems.
• Develop and maintain CI / CD workflows for ML applications using tools such as Jenkins, GitLab CI, etc.
• Manage containerized applications using Docker and orchestrate deployments with Kubernetes.
• Automate model serving, monitoring, and performance tracking in production environments.
• Troubleshoot and resolve complex production issues related to ML infrastructure.

Qualifications :

(ref : hirist.tech)