Related skills
azure docker terraform helm aws📋 Description
- Design, build, and maintain secure, scalable MLOps pipelines
- Mature ML platform: packaging, registry, deployment, monitoring
- Deploy and manage ML workloads on Kubernetes (GPU clusters)
- Support model serving/inference for CV, speech, and LLMs
- Build and maintain CI/CD workflows for ML services and artifacts
- Collaborate with ML engineers and software teams to move models to production
🎯 Requirements
- 7+ years hands-on exp in software, platform, DevOps, MLOps or related roles
- 5+ years with Docker and Kubernetes in production
- 5+ years experience with AWS or Azure
- Proficiency provisioning, operating, and troubleshooting Kubernetes clusters in production
- Experience building ML platforms, infrastructure, or pipelines for eng/data science teams
- Practical experience deploying ML workloads on Kubernetes
🎁 Benefits
- Highly competitive salary
- Fully covered healthcare, dental, and vision
- 401(k) with company match
- Take as you need PTO + 11 paid holidays
- Remote, hybrid, and flexible work options
- Team off-site in fun places
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