Staff MLOps Engineer, Computer Vision

Automated Tire, Inc.; Woburn (MA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

On-site parking

Competitive benefits

Job summary

Automated Tire, Inc. is seeking a Staff MLOps Engineer to own the full lifecycle of our BrakeWise ML pipeline, from training to production serving, ensuring low latency, cost-effectiveness, and reliability in real shop environments.

You will own deployment, monitoring, drift detection, and the retraining loop, partnering with the mobile app team to set platform best practices on GCP and containerized services.

Qualifications

• 8+ years of professional engineering experience in production ML systems.
• Experience taking CV pipelines from prototype to production at scale.

Responsibilities

• Own multi-stage inference pipeline end-to-end: latency, throughput, cost.
• Re-architect pipeline from Cloud Functions MVP to scalable infra.
• Own model deployment: versioning, rollout, canary, rollback.
• Build data/labeling workflows and evaluation harnesses.
• Monitor production model quality and drift, triage failures.
• Define metrics with business impact and report them.

Skills

8+ years experience

Computer vision

Production ML systems

Cloud infrastructure (GCP)

Python

PyTorch/TensorFlow

Model serving & optimization

CI/CD & IaC (GitHub Actions, Terraform

Education

BS/MS in CS/CE or related field

Tools

GCP Vertex AI

Docker

Kubernetes

Terraform

GitHub Actions

TorchServe/TensorRT

Job description

Automated Tire, Inc. is seeking a Staff MLOps Engineer to own the full lifecycle of our BrakeWise ML pipeline, from training to production serving, ensuring low latency, cost-effectiveness, and reliability in real shop environments.

You will own deployment, monitoring, drift detection, and the retraining loop, partnering with the mobile app team to set platform best practices on GCP and containerized services.