Senior MLOps Engineer — Vertex AI on Google Cloud (Hybrid)

Innovise; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Innovise in Austin, TX is seeking a Senior MLOps Engineer to architect and build a next-generation ML Platform-as-a-Product. You will design a unified framework that abstracts infrastructure complexity, enabling ML Engineers and Data Scientists to write, train, deploy, and monitor models in production.

The role is hybrid in Austin, requiring 2 days on-site per week, with a 12+ month duration. Candidates should have cloud and MLOps expertise to drive platform reliability and scalability.

Qualifications

• Experience shaping ML platforms and end-to-end ML pipelines.
• Strong expertise in cloud platforms and ML tooling.
• Knowledge of IaC, CI/CD and observability practices.
• Familiarity with MLOps patterns and model monitoring.

Responsibilities

• Architect and build a next-gen ML Platform-as-a-Product.
• Design a unified framework to abstract infra complexity for ML teams.
• Enable data scientists to write, train, deploy and monitor models in production.

Skills

Platform architecture

Google Cloud Platform

Vertex AI

Infrastructure as code

CI/CD pipelines

Observability

Drift management

Kubeflow

Databricks

Tools

Google Cloud Platform

Vertex AI

Kubeflow

Databricks

Job description

Innovise in Austin, TX is seeking a Senior MLOps Engineer to architect and build a next-generation ML Platform-as-a-Product. You will design a unified framework that abstracts infrastructure complexity, enabling ML Engineers and Data Scientists to write, train, deploy, and monitor models in production.

The role is hybrid in Austin, requiring 2 days on-site per week, with a 12+ month duration. Candidates should have cloud and MLOps expertise to drive platform reliability and scalability.