Director of Applied AI
Dayton, United States
USD 190K-290K (estimate) Executive-level Full Time
Tasks
- Automate root cause analysis
- Build AI engineering team
- Build KPI dashboard for AI impact
- Close loop between machine data and process control
- Define AI strategy and roadmap
- Deploy models using MLOps
- Design data architecture for AI
- Develop applied machine learning solutions
- Enable generative design
- Implement predictive quality monitoring
- Improve manufacturing throughput
- Optimize tool path generation
- Predict defects before production
- Reduce scrap and defect rate
- Select and fine-tune AI models
Perks/Benefits
- Career growth opportunities
- Innovation-focused culture
- Pension scheme
- Private healthcare
- Stock options
Skills/Tech-stack
Applied Machine Learning | Automated Root Cause Analysis | Cause analysis | Computer Vision | Data Architecture | Fine Tuning | Generative Design | KPI Dashboards | MLOps | Machine Learning | Model Fine-tuning | Model selection | Process monitoring | Reinforcement Learning | Root Cause Analysis | Tool path generation
Education
N/A
Roles
AI | AI Engineer | Director | Director of Applied AI | Engineer | Learning Engineer | Machine Learning Engineer
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