MLOps Engineer
remote
150,000 – 195,000 USD
About this role
Build and operate the ML platform infrastructure — model training pipelines, serving infrastructure, monitoring, and CI/CD for machine learning. Bridge the gap between data science and production systems.
Requirements
- 3+ years in MLOps, DevOps, or platform engineering
- Experience with Kubernetes and Docker
- Familiarity with ML frameworks (PyTorch, TensorFlow)
- Knowledge of ML serving tools (Triton, Seldon, BentoML)
- Experience with CI/CD and IaC (Terraform)
Benefits
- Competitive salary and equity
- Fully remote
- Health insurance
- Home office budget
- Learning and conference budget