Staff Engineer, Machine Learning Platform
Tasks
- Arbitrate decisions across latency reliability cost and security
- Build large scale feature stores
- Build low latency model inference systems
- Define technical direction for ambiguous projects
- Design system architecture for ML platform
- Develop scalable technical solutions for ML teams
- Drive projects from requirements to production operations
- Implement real time monitoring for ML systems
- Lead cross-team technical initiatives
- Mentor and grow engineers
- Orchestrate llm and agents
- Own end-to-end architecture
- Represent engineering to senior leadership
- Translate user needs into platform strategy
Perks/Benefits
Skills/Tech-stack
AWS | Agent Orchestration | Agent systems | Amazon Bedrock | Amazon SageMaker | Artificial Intelligence | Cloud Computing | Databricks | Distributed Systems | Feature Stores | LLM orchestration | Learning operations | Low Latency | MLOps | Machine Learning | Machine Learning Operations | Model Inference | Multi-Agent | Multi-Agent Systems | OpenAI | Production Machine Learning | Real Time | Real-time monitoring | Retrieval-Augmented Generation | Scalable infrastructure | Service Oriented | Service-Oriented Architecture | System design | Tool use
Education
N/A
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