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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