Related skills
docker aws python kubernetes tensorflow📋 Description
- Lead AI/ML ops for our platform and services
- Build, deploy, and manage AI pipelines and tooling
- Create scalable AI prototyping tools and web apps
- Collaborate with researchers, developers, and data scientists
- Automate model training, deployment, monitoring, and CI/CD
- Improve infra reliability and performance
🎯 Requirements
- Advanced degree in CS, Eng or related field
- 5+ years in AI/ML ops, tooling, pipelines
- Strong CI/CD and DevOps practices for ML workflows
- Docker, Kubernetes; cloud platforms AWS/GCP/Azure
- Python, Java, or C++ with ML frameworks TF/PyTorch
- Git and collaboration tools; agile experience
🎁 Benefits
- Remote-friendly, flexible work options
- High-impact work on federal benefits
- Collaborative, cross-functional teams
- Learning and growth opportunities
- Competitive compensation and benefits
- Mission-driven, inclusive culture
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