Sr. Python MLOps Engineer – Modeling Automation & ML Pipelines | GCP/Azure ML | 7+ Years | Bangalore
Bengaluru, Karnataka, India • Posted June 05, 2026
Job Type:
Full-time
Location:
Bengaluru, Karnataka
Posted:
June 05, 2026
Category:
Computer Occupations
Application Deadline:
July 15, 2026
Role Description
Candidates
ready to join immediately
can share their details via email for quick processing.
CCTC | ECTC | Notice Period | Location Preference
[email protected]
Act fast for immediate attention! ⏳
Must-Have Skills
7+ years of experience in Python Development and MLOps Engineering
Strong experience in Modeling Automation and ML pipeline development
Expertise in MLOps frameworks and model lifecycle management
Hands-on experience with model training pipelines and workflow orchestration
Experience in artifact versioning and model registry management
Strong knowledge of GCP Vertex AI or Azure ML
Experience with CI/CD pipelines for ML deployments
Proficiency in Docker, Kubernetes, and cloud-native deployments
Strong scripting, automation, and debugging skills
Experience with Git, ML experiment tracking, and monitoring tools
Good-to-Have Skills
Experience with MLflow, Kubeflow, Airflow, or Prefect
Exposure to LLMOps ...
ready to join immediately
can share their details via email for quick processing.
CCTC | ECTC | Notice Period | Location Preference
[email protected]
Act fast for immediate attention! ⏳
Must-Have Skills
7+ years of experience in Python Development and MLOps Engineering
Strong experience in Modeling Automation and ML pipeline development
Expertise in MLOps frameworks and model lifecycle management
Hands-on experience with model training pipelines and workflow orchestration
Experience in artifact versioning and model registry management
Strong knowledge of GCP Vertex AI or Azure ML
Experience with CI/CD pipelines for ML deployments
Proficiency in Docker, Kubernetes, and cloud-native deployments
Strong scripting, automation, and debugging skills
Experience with Git, ML experiment tracking, and monitoring tools
Good-to-Have Skills
Experience with MLflow, Kubeflow, Airflow, or Prefect
Exposure to LLMOps ...
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