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MLOps Engineer (2-9 Years)

2 - 7 years

Noida Hyderabad Bengaluru

Posted:10 hours ago

Job Description

Position:

Job Summary

MLOps

Key Responsibilities

MLOps

  • Build and maintain end-to-end ML pipelines for model development, deployment, monitoring, and retraining.
  • Automate machine learning workflows using MLOps best practices.
  • Deploy and manage ML models in production environments.
  • Collaborate with Data Scientists, Data Engineers, and Platform teams.
  • Implement model monitoring, performance tracking, and drift detection mechanisms.

DevOps

  • Design, build, and maintain CI/CD pipelines.
  • Automate infrastructure provisioning and configuration management.
  • Manage code repositories, branching strategies, and release processes.
  • Implement DevSecOps practices and security controls.
  • Improve deployment efficiency, reliability, and scalability.

CloudOps

  • Manage and optimize cloud infrastructure across AWS, Azure, or GCP.
  • Monitor cloud resources, performance, cost, and availability.
  • Troubleshoot infrastructure and application issues.
  • Ensure high availability, disaster recovery, and business continuity.
  • Implement infrastructure-as-code and cloud governance standards.

Skills Required

Operations Artificial Intelligence Intelligence Python Machine Machine learning

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Work Mode

Hybrid

Job Type

Full Time

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