Principal Machine Learning
Livonia, MI, United States
R
USD 120K-220K (estimate) Senior-level Full Time
Tasks
- Architect production multi step AI agents
- Benchmark and monitor model performance
- Define AI engineering standards and best practices
- Deploy LLM solutions on cloud platforms
- Ensure responsible AI compliance and risk management
- Evaluate and integrate external AI platforms and vendors
- Implement human in the loop escalation
- Integrate AI into enterprise systems
- Lead AI model selection and system design
- Mentor and develop machine learning engineers
- Optimize LLM inference cost and resource utilization
- Orchestrate tools and manage memory in agents
- Set up AI evaluation and observability stacks
- Translate business problems into measurable AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Observability | AWS | AWS Bedrock | Agentic AI | Amazon SageMaker | Auditability | Autogen | Autonomous Agents | Azure | Azure OpenAI | Benchmarking | CrewAI | Human-in-the-loop | LLM Inference | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | MCP | Machine Learning | Memory Management | Model Context Protocol | Model Evaluation | Model Risk Management | Model risk | Performance Monitoring | PyTorch | Python | Regression testing | Risk Management | Task decomposition | TensorFlow | The Loop | Tool orchestration | Tracing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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