Project Engineer - Auburn Hills, MI

Your Role:

Design and deploy Deep Learning models for automated paint inspection, enhancing defect detection accuracy in a production environment. Streamline real-time inference pipelines to minimize latency when models are deployed at plant by ensuring optimal use of hardware resources like GPUs. Integrate AI models into current system, streamline the end-to-end workflow from data ingestion to model inference. Reduce infrastructure costs and deployment time by refactoring model architectures and optimize hardware utilization for multi-plant scalability. Label and preprocess massive datasets to support robust Deep Learning training and testing pipelines.

Basic Qualifications:

Experience designing and deploying Deep Learning models

Experience with automated defect detection or computer vision systems

Experience optimizing real-time inference pipelines

Experience working with GPU hardware for model deployment

Experience integrating AI models into existing systems

Experience building end-to-end ML workflows

Experience optimizing model architectures for performance and scalability

Experience handling and preprocessing large-scale datasets

Experience supporting training and testing pipelines

Preferred Qualifications:

Master’s degree in Electrical and/or Computer Engineering or Electronic Engineering with 6 months experience as Software or AI Engineer or related.

Benefits Include:

Competitive base salary

Health, vision, dental insurance

Short-term and long-term disability

401k Match

Paid time off (PTO)

Profit Sharing

Good work-life balance

Apply: please send us your resume to contactus@encoreautomation.com.