Job Description
Key Responsibilities
Design, implement, and automate ML lifecycle workflows using tools like MLflow, Kubeflow, Airflow and OCI Data Science Pipelines. Build and maintain CI/CD pipelines for model training, validation, and deployment using GitHub Actions, Jenkins, or Argo Workflows. Collaborate with data engineers to deploy models within modern data lakehouse architectures (., Apache Iceberg, Delta Lake, Apache Hudi). Integrate machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn into distributed environments like Apache Spark, Ray, or Dask. Operationalize model tracking, versioning, and drift detection using DVC, model registries, and ML metadata stores. Manage infrastructure as code (IaC) using tools like Terraform, Helm, or Ansible to support ...
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