Principal AI/ML Engineer - Remote Nationwide or Hybrid in MN/DC
Primary location: Plymouth, Minnesota
USD 164K-282K Senior-level Full Time
Tasks
- Apply statistics probability optimization and experimental design
- Bridge prototypes to platform and production
- Define ML engineering best practices
- Design and deliver training deployment monitoring pipelines
- Design evaluate agentic workflows and tools use
- Drive adoption of deep learning and agentic AI
- Establish model governance standards
- Evaluate and introduce emerging AI ML tools frameworks and platforms
- Implement drift detection and performance monitoring
- Implement versioning CI CD for models
- Lead architecture for production AI ML systems
- Mentor engineers and set technical standards
- Present model performance architecture decisions to stakeholders
- Process high volume datasets using distributed systems
- Translate research into scalable enterprise solutions
Perks/Benefits
- 401k contribution
- Comprehensive benefits
- Equity stock purchase
- Incentive and recognition programs
- Remote work flexibility
Skills/Tech-stack
AWS SageMaker | Agent systems | Agentic AI | Automated retraining | Azure Machine Learning | CI/CD | Deep learning | Drift Detection | Experimental Design | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Governance | Model Monitoring | Model versioning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Optimization | Orchestration | Probability | Prompt engineering | PyTorch | Python | RAG | Statistics | TensorFlow | Tool use | Vertex AI
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Principal | Principal AI/ML Engineer
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