# ML Ops / Dev Ops Engineer at Zensors

- Company: Zensors
- What the company does: AI that can watch your business to create better customer experiences. Backed by Y Combinator.
- Company website: https://www.zensors.com
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-05-15
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/zensors/8ec79427-0fc9-4df6-9b0d-121abae98e97
- Page: https://www.1752.vc/careers/jobs/zensors-ml-ops-dev-ops-engineer/

## About the role

As an ML / DevOps Engineer, you will play a pivotal role in advancing our infrastructure, scaling enterprise deployment workflows, and refining automation architectures to enable rapid iteration across the organization. You will sit at the critical intersection of machine learning and systems engineering.

## What they're looking for

- Education: A BS, MS, or PhD in Computer Science or a related equivalent field
- Experience: 4+ years of applicable industry experience in DevOps, MLOps, or Systems Engineering
- Professional Profile: You are a highly motivated professional with a strong track record of technical execution, complex systems integration, and successful cross-team collaboration
- Data & Video Pipelines: Proven experience managing infrastructure for video streaming (e.g., RTSP, HLS, WebRTC) or similarly high-throughput, real-time data pipelines
- Cloud-Native & CI/CD: Deep expertise in Kubernetes (managing clusters, Helm charts, orchestration) and a strong background in CI/CD toolchains (e.g., Jenkins, GitLab CI, ArgoCD)
- Infrastructure as Code: Proficiency in IaC tools (e.g., Terraform, Ansible)

Tags: Technical team