MLOps Architect

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