Sr. Python MLOps Engineer – Modeling Automation & ML Pipelines | GCP/Azure ML | 7+ Years | Bangalore | Immediate Joiner

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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 / Generative AI deployment workflows
• Knowledge of Terraform or Infrastructure as Code (IaC)
• Familiarity with Databricks or Spark-based ML workloads
• Experience with feature stores and data versioning
• Exposure to AWS SageMaker
• Agile/Scrum development experience
• Strong understanding of scalable AI platform architecture

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