Project Engineer - Auburn Hills, MI

Encore Automation; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

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

Job summary

Encore Automation is seeking a Deep Learning Engineer to design and deploy models for automated paint inspection in a production environment. You will streamline real-time inference pipelines, optimize GPUs, and integrate AI models into existing systems to reduce latency and costs.

Responsibilities include labeling and preprocessing large datasets, refining model architectures for scalability across multiple plants, and supporting end-to-end ML workflows from data ingestion to inference.

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.

Responsibilities

• Design and deploy Deep Learning models for automated paint inspection in production.
• Streamline real-time inference pipelines to minimize latency on plant deployment.
• Integrate AI models into the current system and end-to-end workflows.
• Refactor architectures to reduce deployment time and optimize GPUs for multi-plant scalability.

Skills

Deep Learning

Computer Vision

GPU Deployment

End-to-end ML workflows

Data preprocessing

Model optimization

Real-time inference

System integration

Handling large datasets

Training pipelines

Education

Master's degree in Electrical or Computer Engineering

Tools

CUDA

Job description

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.

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