Related skills
javascript aws python eks go📋 Description
- Architect end-to-end ML training pipelines on AWS (SageMaker)
- Build infra for production agentic apps using Bedrock and AgentCore
- Evolve ML platform with MLOps tooling and buy vs build decisions
- Implement ML governance: versioning, testing, validation, security
- Integrate MLOps with Expel SDLC with SRE and Security
- Improve reliability and scalability via observability and monitoring
🎯 Requirements
- Python proficiency; Go/JS a plus
- CI/CD pipelines and infrastructure-as-code
- AWS SageMaker/Bedrock; Vertex AI valued
- LLMs, agent orchestration, memory, tool calling, RAG
- ML frameworks: Scikit-Learn, PyTorch, TensorFlow
- 5+ years in software with ML ops focus; degree preferred
🎁 Benefits
- Unlimited PTO, up to 24 weeks parental leave, strong health benefits
- Remote flexibility — work from anywhere
- Monthly fitness and cell phone stipends
- Conference benefit and continuous learning opportunities
- Collaborative team of engineers, data scientists, and researchers
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