Application Engineer, AI/ML
Tasks
- Collaborate with customers on model lifecycle
- Conduct anomaly detection on CT data
- Create model documentation and validation memos
- Deploy models to production workflows
- Design feature and label sets
- Develop machine learning models for defect detection
- Evaluate model performance
- Implement process control models
- Monitor model performance
- Perform dimensional analysis using CT data
- Prepare data for model training
- Produce customer facing technical reports
- Retrain machine learning models
- Scope ML deliverables and success criteria
- Support model governance in regulated industries
- Train machine learning models
- Translate business and engineering problems into ML solutions
Perks/Benefits
- 401k
- Commuter benefits
- Company events
- Flexible PTO
- Health and wellness stipend
- Parental leave
- Travel opportunities
Skills/Tech-stack
3D Imaging | Anomaly Detection | Computer Vision | Customer Requirements | Data Preparation | Deep learning | Defect Detection | Dimensional Analysis | Feature Engineering | Image Processing | MLOps | Machine Learning | Model Deployment | Model Evaluation | Monitoring | Process control | PyTorch | Python | Retraining | Technical documentation | TensorFlow | Volumetric data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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