Caterpillar Financial Services Corporation
Packaging Artificial Intelligence/Machine Learning Engineer
Caterpillar Financial Services Corporation, Morton, Illinois, United States, 61550
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.
What You Will Do Core Responsibilities
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.
Additional Key Responsibilities
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 TensorFlow, 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.
What You Have (Required Skills)
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.
What Will Put You Ahead (Preferred Skills)
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 management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non‑functionality requirements to ensure the success of a system or software development project.
Programming: Python, R, JavaScript, Java
ML/AI Frameworks: TensorFlow, PyTorch, Scikit‑learn
Data Tools: SQL, Spark, Pandas
DevOps/MLOps: Docker, Kubernetes, CI/CD Pipelines
Front‑End (for UI Development): React, Angular
Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP)
What You Will Get
Through it all, we are one team – creating and delivering world‑class components and solutions superior to the competition.
Learn more about the Caterpillar Experience.
Summary Pay Range $97,530.00 - $146,290.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job‑related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits
Medical, dental, and vision benefits
Paid time off plan (Vacation, Holidays, Volunteer, etc.)
401(k) savings plans
Health Savings Account (HSA)
Flexible Spending Accounts (FSAs)
Health Lifestyle Programs
Employee Assistance Program
Voluntary Benefits and Employee Discounts
Career Development
Incentive bonus
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement
* These benefits also apply to part‑time employees.
Visa Sponsorship is not available for this position.
Posting Dates January 7, 2026 - January 21, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
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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.
What You Will Do Core Responsibilities
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.
Additional Key Responsibilities
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 TensorFlow, 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.
What You Have (Required Skills)
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.
What Will Put You Ahead (Preferred Skills)
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 management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non‑functionality requirements to ensure the success of a system or software development project.
Programming: Python, R, JavaScript, Java
ML/AI Frameworks: TensorFlow, PyTorch, Scikit‑learn
Data Tools: SQL, Spark, Pandas
DevOps/MLOps: Docker, Kubernetes, CI/CD Pipelines
Front‑End (for UI Development): React, Angular
Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP)
What You Will Get
Through it all, we are one team – creating and delivering world‑class components and solutions superior to the competition.
Learn more about the Caterpillar Experience.
Summary Pay Range $97,530.00 - $146,290.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job‑related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits
Medical, dental, and vision benefits
Paid time off plan (Vacation, Holidays, Volunteer, etc.)
401(k) savings plans
Health Savings Account (HSA)
Flexible Spending Accounts (FSAs)
Health Lifestyle Programs
Employee Assistance Program
Voluntary Benefits and Employee Discounts
Career Development
Incentive bonus
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement
* These benefits also apply to part‑time employees.
Visa Sponsorship is not available for this position.
Posting Dates January 7, 2026 - January 21, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
#J-18808-Ljbffr