Principal AI Engineer
Delaware, OH, United States
USD 125K-165K (estimate) Senior-level Full Time
Tasks
- Collaborate with embedded software and firmware teams to deploy models on edge devices and real time systems
- Collaborate with external research institutions and industry partners
- Define AI and ML architecture roadmap
- Define data acquisition signal conditioning and model inference requirements
- Develop prototype methods models and simulations
- Drive alignment with product line strategies
- Engage with standards bodies and technology partners
- Ensure model robustness performance explainability and lifecycle management
- Establish data collection preprocessing labeling and governance practices
- Identify high-value AI use cases
- Implement MLOps frameworks for continuous integration testing versioning and monitoring
- Improve NPDI process time to market and engineering efficiency
- Lead AI research and emerging technologies
- Lead feasibility studies prototypes and proof of concept
- Mentor and guide junior engineers
- Publish technical papers and file patents
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Continuous integration | Data Engineering | Data Governance | Edge AI | Embedded Systems | Explainable AI | Learning operations | Machine Learning | Machine Learning Operations | Model Deployment | Model Validation | Monitoring | PyTorch | Python | Real Time | Real-time Systems | Robustness Testing | Scikit-learn | Signal Processing | TensorFlow | Testing | Time Systems | Version control
Education
Roles
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