ML Ops Engineer

Your newpany

You will be joining a major, forward‑thinking organization that is investing heavily in scalable machine learning platforms and cloud‑native infrastructure. The team is focused on enabling frictionless experimentation, deployment, and production operations for Data Scientists and ML Engineers across the enterprise.

Your new role

As an MLOps Engineer, you will architect and maintain robust, scalable cloud infrastructure using Google Cloud Platform. You will play a key role in automating end‑to‑end ML workflows, optimizing data pipelines, and ensuring the reliability, performance, and usability of the ML platform.

Architecting, developing, and maintaining scalable cloud infrastructure using
Vertex AI, BigTable, BigQuery, Cloudposer, and Cloud Storage.

Automating and orchestrating ML workflows, integrating data ingestion, feature engineering, model training, and deployment.

Enhancing platform usability and ...