Description

You will design, deploy, and maintain scalable ML pipelines and production systems on Google Cloud Platform.

This role is remote.

Responsibilities

• Design and develop scalable ML pipelines and workflows using Python and BigQuery SQL.
• Deploy and monitor machine learning models in production using Vertex AI and Cloud Build.
• Ensure reliability, scalability, and performance of ML systems through containerization with Docker.
• Implement best practices for model versioning, monitoring, and governance.
• Optimize infrastructure and workflows for cost and efficiency.

Required Skills

• 5+ years of experience in MLOps, Data Engineering, or related roles.
• Strong proficiency in Python for data engineering pipelines.
• Hands-on experience with Google Cloud Platform (GCP), Vertex AI, and Cloud Build.
• Solid knowledge of BigQuery SQL.
• Experience with Docker and containerization.
• Solid understanding of machine learning concepts and lifecycle (Training to Serving).
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with FastAPI or similar frameworks.
• Knowledge of model deployment strategies (batch and real-time).
• Familiarity with Kubernetes and release management.

Key Skills

Education

Bachelor's degree