AI Data Scientist
Prosum
Job Description Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or Hillsboro, OR. This role sites onsite 4 days a week and 1 day will be remote. The AI Data Scientist will focus on developing state-of-the-art Automated Defect Classification (ADC) and Die-to-Database (DB) comparison algorithms, transforming advanced mathematical modeling into real-world industrial intelligence. ESSENTIAL DUTIES AND RESPONSIBILITIES Algorithm & Model Development
- Design, train, and optimize deep learning and computer vision models for automated defect detection and classification.
- Develop object detection and image classification algorithms to identify micro-scale defects such as particles, scratches, and pattern anomalies.
- Develop high-precision image registration, geometric alignment, and image matching algorithms to compare captured optical images against CAD database layouts.
- Improve alignment accuracy and robustness under varying imaging conditions.
- Apply statistical modeling, signal processing, denoising, and feature extraction techniques to improve image quality and inspection accuracy.
- Analyze large, noisy datasets to optimize signal-to-noise ratio and model performance.
- Evaluate model performance using real-world inspection data and analyze edge cases.
- Improve model accuracy through iterative training, active learning, and few-shot learning techniques.
- Collaborate with software engineers, field application teams, and domain experts to deploy and validate production-ready AI models.
- Document algorithms, experiments, and model performance results.
- Participate in code reviews, technical discussions, and knowledge sharing.
- Assist with data preparation, annotation, validation, and quality assurance.
- Stay current with advances in computer vision, machine learning, and AI technologies.
- Collaborate with cross-functional teams to support product development and model deployment.
- Perform other duties as assigned.
Vacancy posted 1 day ago
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