MLOps Architect

Job Summary

A company is looking for a Principal MLOps Architect with expertise in Google Cloud Platform (GCP).

Key Responsibilities

• Architect and lead migration of AI/ML platforms and pipelines from AWS/Azure to GCP
• Define and implement MLOps architecture frameworks leveraging various GCP tools for model training and deployment
• Establish standardized CI/CD pipelines for ML, integrating model validation and automated testing

Required Qualifications

• 10-15 years of experience in cloud architecture, data engineering, or AI/ML engineering with 5+ years on GCP
• Strong proficiency in Vertex AI, GKE, BigQuery, Dataflow, and Cloud Build
• Demonstrated success in migrating data and ML workloads from AWS or Azure to GCP
• Deep understanding of MLOps frameworks and CI/CD automation for ML workloads
• Expertise in Python, PySpark, TensorFlow, and PyTorch