Description

Build and maintain machine learning infrastructure pipelines, owning the end-to-end ML deployment lifecycle on GCP.

This role is remote.

Responsibilities

• Design and implement data pipelines using BigQuery, Dataflow, and PySpark.
• Manage and automate infrastructure provisioning with Terraform.
• Develop and maintain CI/CD pipelines for ML models and services.
• Deploy and scale ML workloads using GCP services like Vertex AI, GKE, and Cloud Run.

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.
• Proficiency with containerization (Docker) and CI/CD tools (GitLab/Bitbucket).
• Knowledge of ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Experience with MLOps tools compatible with GCP (MLflow, Kubeflow).

Preferred Skills

• Understanding of ETL concepts, including BigQuery and Dataflow/PySpark.

Key Skills

Education

Any Graduate