Senior MLOps Engineer — Production ML Platforms

Zeitview (formerly DroneBase); San Francisco (CA); On-site; USD 170,000 - 180,000; Full time

Benefits offered by this job

Stock options

Medical insurance (multiple plans)

Dental and vision insurance

Unlimited PTO

HSAs enabled

Job summary

You will ensure monitoring, reproducibility, and scalable deployments across multiple verticals, while shaping standards for versioning, deployment promotion, and tooling. This role blends R&D, software, and DevOps.

Qualifications

• Bachelor's degree in CS/Software/Data Engineering or related field.
• 4+ years in MLOps or ML platform engineering.
• Translate research workflows into production services without bottlenecks.
• Strong Python and software engineering fundamentals.
• Experience with cloud platforms, CI/CD, and containerization.

Responsibilities

• Translate experimental code into scalable production services with model registries.
• Collaborate with R&D, Platform, and DevOps to deploy pipelines.
• Maintain and extend model registry and deployment pipelines.
• Set up monitoring, observability, and reproducibility for models.
• Define standards for versioning and deployment promotion.
• Communicate R&D goals to software teams.

Skills

MLOps

Python

ML Pipelines

Terraform

AWS

CI/CD

Docker

Kubernetes

Model Registry

Canary Deployments

Versioning

Education

Bachelor's degree in CS/Engineering/Data Engineering or related field

Tools

AWS

Terraform

Docker

Kubernetes

GitHub Actions

Job description

You will ensure monitoring, reproducibility, and scalable deployments across multiple verticals, while shaping standards for versioning, deployment promotion, and tooling. This role blends R&D, software, and DevOps.