Generative AI Engineer

Company Description

Fenske Media has over 60 years of experience in revolutionizing how brands connect with their audiences. Collaborating with leading consumer brands, we deliver innovative, results-driven solutions. Our advanced digital print facilities integrate the latest technologies and comprehensive data analytics, including psychographic and demographic modeling, to ensure precise and effective audience engagement. We are committed to redefining innovation in the digital print industry and helping companies amplify their brand presence and reach new markets. Join our dynamic team pushing the boundaries of creativity and technology in Rapid City, SD.

Job Title: AI Engineer – Print ManufacturingJob Summary

We are seeking a highly skilled
AI Engineer
to design, develop, and deploy artificial intelligence and machine learning solutions for our print manufacturing operations. The ideal candidate will work closely with production, quality control, and IT teams to build intelligent systems that optimize printing processes, improve product quality, reduce downtime, and increase operational efficiency.

Key Responsibilities

1. AI/ML Model Development

- Design, build, and deploy machine learning models to improve print production processes.
- Develop predictive models for
equipment maintenance, defect detection, and production optimization
.
- Implement computer vision solutions for
print quality inspection and defect detection
.

2. Data Engineering & Integration

• Collect, preprocess, and analyze large datasets from printing machines, sensors, and ERP/MES systems.
• Integrate AI models with existing manufacturing software and production systems.
• Build data pipelines for real-time monitoring and analytics.

3. Process Optimization

- Develop AI-driven tools to optimize
ink usage, color consistency, and machine calibration
.
- Implement demand forecasting models for print orders and inventory planning.
- Improve workflow automation using AI and intelligent scheduling.

4. Collaboration

• Work with manufacturing engineers, production managers, and IT teams to identify AI opportunities.
• Translate business problems into scalable AI solutions.
• Provide technical documentation and training to internal teams.

5. Deployment & Monitoring

• Deploy AI models into production environments.
• Monitor model performance and retrain models with new production data.
• Ensure reliability, scalability, and security of AI systems.

Required Qualifications

- Bachelor’s or Master’s degree in
Computer Science, Artificial Intelligence, Data Science, or related field
.
- 3+ years of experience in
machine learning or AI engineering
.
- Strong programming skills in
Python
.
- Experience with AI/ML frameworks such as
TensorFlow, PyTorch, or Scikit-learn
.
- Knowledge of
computer vision techniques
for image analysis and defect detection.
- Experience working with large datasets and building data pipelines.

Preferred Qualifications

- Experience in
manufacturing or industrial automation
environments.
- Familiarity with
Industrial IoT (IIoT)
and sensor data processing.
- Experience integrating AI systems with
ERP/MES platforms
such as
SAP ERP or Oracle NetSuite
.