AI Data Scientist

Prosum; Phoenix (AZ); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Prosum is seeking an AI Data Scientist for a hands-on role focused on automating defect classification and tool-to-database comparison. You will design and deploy deep learning and computer vision models, improving image quality and inspection accuracy across manufacturing data.

The position involves on-site work in North Phoenix/Hillsboro with a hybrid arrangement, collaborating with software engineers and domain experts. Prior experience in production-ready AI is essential.

Qualifications

• 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.
• Apply statistical modeling, signal processing, denoising, and feature extraction techniques to improve image quality and inspection accuracy.
• Evaluate model performance using real-world inspection data and analyze edge cases.
• 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.
• 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.

Responsibilities

• 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.
• Apply statistical modeling, signal processing, denoising, and feature extraction techniques to improve image quality and inspection accuracy.
• Evaluate model performance using real-world inspection data and analyze edge cases.
• 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.
• 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.

Skills

Deep learning

Computer vision

Image classification

Object detection

Python

TensorFlow

PyTorch

Model deployment

Statistical modeling

Data analytics

Tools

OpenCV

CUDA

TensorRT

Job description

## AI Data Scientist**Phoenix,AZ85083**Employment Type:PermJob Number: 25826Remote Options:## Job DescriptionOur 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.**Die-to-Database (DB) Comparison*** 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.**Advanced Data Analytics*** 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.**Model Development & Continuous Improvement*** 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.**Miscellaneous Responsibilities*** 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.