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

Job description

Candidates ready to join immediately can share their details via email for quick processing. CCTC | ECTC | Notice Period | Location PreferenceAct fast for immediate attention! ⏳ Must-Have Skills7+ years of experience in Python Development and MLOps EngineeringStrong experience in Modeling Automation and ML pipeline developmentExpertise in MLOps frameworks and model lifecycle managementHands-on experience with model training pipelines and workflow orchestrationExperience in artifact versioning and model registry managementStrong knowledge of GCP Vertex AI or Azure MLExperience with CI/CD pipelines for ML deploymentsProficiency in Docker, Kubernetes, and cloud-native deploymentsStrong scripting, automation, and debugging skillsExperience with Git, ML experiment tracking, and monitoring toolsGood-to-Have SkillsExperience with MLflow, Kubeflow, Airflow, or PrefectExposure to LLMOps / Generative AI deployment workflowsKnowledge of Terraform or Infrastructure as Code (IaC)Familiarity with Databricks or Spark-based ML workloadsExperience with feature stores and data versioningExposure to AWS SageMakerAgile/Scrum development experienceStrong understanding of scalable AI platform architecture