Description

You will build and maintain machine learning infrastructure pipelines.

Responsibilities

• Own the end-to-end ML deployment lifecycle using GCP services.
• Design and implement data pipelines utilizing BigQuery, Dataflow, and PySpark.
• Manage and automate infrastructure provisioning using Terraform.
• Develop and maintain CI/CD pipelines for ML models and services.

Required Skills

• 10+ years of relevant professional experience.
• Expert proficiency in Python.
• Deep expertise in GCP services: Vertex AI, GKE, Cloud Run, BigQuery, Cloud Storage, Cloud Composer.
• Strong experience with infrastructure-as-code using Terraform.
• Familiarity with containerization (Docker) and CI/CD pipelines (GitLab/Bitbucket).
• Knowledge of ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Experience with MLOps tools compatible with GCP (MLflow, Kubeflow).
• Understanding of ETL concepts, including BigQuery and Dataflow/PySpark.

Key Skills

Education

Any Graduate