Automated Visual Inspection (AVI) Expertise (Key Differentiator - Highly Desired)
Direct experience with automated visual inspection systems such as:
Machine visionbased inspection platforms
Camera systems lighting optimization optics
Image acquisition and defect detection logic
Knowledge of AVI system qualification and validation:IQ/OQ/PQ
Performance qualification using defect kits
Experience developing or supporting:
Inspection recipes
Defect libraries and defect standards
Sensitivity and false reject optimization
Familiarity with manual vs automated inspection correlation
Data Statistics & Digital Skills (Preferred)
Strong statistical background including:
Sampling plans (AQL zero acceptance etc.)
Inspection capability studies
Measurement system analysis (MSA)
Experience with data analysis tools:
JMP Minitab Python or equivalent
Comfort working with large inspection datasets to:
Trend defect rates
Support process improvements
Drive inspection strategy decisions
Requirements
-Doctorate OR
-Master 2 years of Scientific experience OR
-Bachelors 4 years of Scientific experience.
Chemical Engineering Mechanical Engineering Biomedical Engineering Materials Science Pharmaceutical Sciences or related field.
Training in vision systems (i.e. Cognex Systech Syntegon Koerber A3 CVP PDA 593)