Packaging Artificial Intelligence​/Machine Learning Engineer

Packaging AI/ML Engineer

Location:

Morton, IL. This position requires working onsite five days a week.

Job Summary: The Packaging AI/ML Engineer performs analytical tasks and initiatives on huge amounts of data to support data‑driven business decisions and development. Utilizes AI/ML technologies to enhance packaging engineering processes, automation, quality, and operational efficiency.

Additional Info: This role is located in Morton, IL and does not offer relocation. This role requires up to 20% domestic travel.

• Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
• Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
• Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
• Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
• Proficiency in query and database tools is essential for creating and testing queries, connecting to data warehouses, and analyzing results. Familiarity with advanced query features like sorting, filtering, and basic calculations ensures effective data handling.
• Implementing and supporting programming languages, writing and reviewing code, and following organizational standards for structured programming.

• Data Engineering & Preprocessing
  • Collects, cleans, and transforms raw data into usable formats for packaging‑related AI/ML applications.
  • Builds pipelines for data ingestion and feature engineering to support scalable model development.
• Model Development
  • Designs, trains, and optimizes machine learning or deep learning models relevant to packaging, such as defect detection, quality prediction, optimization modeling, or sustainability assessments.
  • Experiments with algorithms and frameworks such as Tensor Flow, PyTorch, and Scikit‑learn.
• Deployment & Integration
  • Packages models into APIs or microservices for seamless integration with packaging systems or business platforms.
  • Deploys AI/ML models into cloud, edge, or on‑premises environments to support real‑time packaging line insights and automation.
• Full‑Stack Application Development
  • Builds user interfaces or dashboards for visualizing AI outputs or interacting with deployed models.
  • Handles backend logic and integrates AI services with core packaging engineering or business applications.
• Monitoring & Maintenance
  • Tracks and evaluates model performance post‑deployment to ensure stability and accuracy.
  • Implements model retraining strategies, error‑handling mechanisms, and scalability improvements.

• Accuracy and Attention to Detail:
  Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
• Analytical Thinking:
  Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
• Packaging (AI/ML and Data‑Driven Development):
  Practical knowledge in machine learning, programming, and/or data querying to enhance packaging operations. Key skills include applying ML techniques for business improvements, using Python and/or R for model development, and performing data mining and cleaning for accurate analysis.

• Business Statistics:
  Knowledge of statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
• Machine Learning:
  Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
• Programming
  
  Languages:
  
  Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms to write and modify programming languages.
• Query and Database Access Tools:
  Knowledge of data…