AI/ML Systems Engineer

Cummins Inc.; Seymour (IN); Hybrid; USD 70,000 - 85,000; Full time

Benefits offered by this job

Relocation Package

Flexible work location

Diversity-focused workplace

Job summary

A leading global power solutions company is seeking an entry-level AI/ML Systems Engineer to contribute to digital solution development and support product integration efforts. This role requires a Master's degree in Engineering or a related STEM field and familiarity with data analysis and AI concepts. Candidates should have strong problem-solving skills, effective communication abilities, and a willingness to work collaboratively within agile teams. The position involves investigating product issues, engaging in technical processes, and contributing to innovative use cases for AI tools.

Qualifications

• Entry level/early career role focused on product integration and decision making.
• Engages in technical problem resolution and contributes to team goals.
• Strong academic foundation in STEM required, particularly with AI/ML knowledge.

Responsibilities

• Investigate and solve product problems using statistical and analytical methods.
• Collaborate with cross-functional teams to deliver quality product decisions.
• Support development and testing of AI/ML prototypes and enhance digital workflows.

Skills

Statistics knowledge

Data analysis

Hypothesis testing

Python or R programming

Data visualization tools

AI/ML concepts

Problem-solving skills

Communication skills

Agile collaboration

Education

Master’s degree in Engineering or appropriate STEM field

Tools

Python

R

PowerBI

Azure Databricks

Excel

Job description

Join to apply for the AI/ML Systems Engineer role at Cummins Inc.

Job Summary

This entry level/early career professional, product focused position performs established technical tasks at the product and cross‑business integration level for current and future products within a given business unit or corporate area. The role involves work across many steps in the product life cycle and often acts as a central point of coordination and decision making between product engineers, product line engineers, customer teams, purchasing, suppliers and manufacturing.

Key Responsibilities

Investigates product problems, understands causal mechanisms, recommends appropriate action, owns problem resolution and documents results with guidance from more experienced team members. Main focus will include working in business processes of PPT, VPI or CPS and executing technical processes such as ESW, iDFMEA, FIRG while using tools such as 7‑step problem solving, design review checklist and other specialized tools required to support the processes and enable high quality decision making. Obtains input from stakeholders such as technical managers, project leaders, other product and manufacturing engineers and supplier partners to deliver information and recommendations that lead to quality product decisions.

Applies academic knowledge and existing experience to take action and make decisions that progress projects forward without sacrificing project quality expectations. Provides independent execution of established work processes and systems, while developing technology or product knowledge; engages with the improvement of systems and processes. Contributes effectively toward team goals, exhibits influence within a work group and continues to develop proficiency in the competency areas critical to success in the role.

Owns problem resolution for moderately complex components, products, systems, subsystems or services with technical complexity and ambiguity increasing as experience is gained in the role. Involves minimal direct management of people, but could involve coordination of work among technicians and/or temporary student employees.

Competencies

• Cross‑Functional Design Integration – Translates the value package requirements that include stakeholders’ voices into virtual designs, and communicates the capability of the design through an approved cross‑functional design review.
• Product Failure Mode Avoidance – Mitigates potential product failure modes by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and causes.
• Product Function Modeling, Simulation and Analysis – Impacts product design decisions through the utilization and/or interpretation of computational tools and methods that predict the capability of a product’s function relative to its system, sub‑system and/or component level requirements.
• Product Interface Management and Integration – Identifies and analyzes interfaces and interactions across system boundaries, controls interactions, and integrates system elements by creating an integration plan.
• Product Problem Solving – Solves product problems using a process that protects the customer, determines assignable causes, implements data‑based solutions, and identifies systemic root causes and recommended actions.
• Product Verification and Validation Management – Develops product system validation plans, manages product risk, negotiates requirements against capability, evaluates analytics and test results, and supports product decisions.
• System Requirements Engineering – Translates stakeholder needs into verifiable requirements, establishes acceptance criteria, tracks status throughout lifecycle, and assesses impact of changes.
• Systems Thinking – Defines system boundaries, context, interfaces, and lifecycle, analyzes interactions, and predicts behavior.
• Collaborates – Builds partnerships and works collaboratively to meet shared objectives.
• Communicates Effectively – Delivers clearli>
• Decision Quality – Makes timely decisions that move the organization forward.
• Drives Results – Consistently achieves results under tough circumstances.
• Self‑Development – Seeks growth through formal and informal development channels.
• Values Differences – Recognizes the value of diverse perspectives and cultures.
• Applies Principles of Statistical Methods – Analyzes technical data using statistical inference and models relationships.
• Technical Documentation – Documents knowledge and communicates to stakeholders for improved productivity.
• Product Development Execution, Monitoring and Control – Plans, schedules, coordinates product development activities, monitors and communicates across boundaries.
• Design and Application of Open/Closed Loop Controls – Specifies software features interfacing with mechanical, hydraulic, chemical, and electronic systems.

Education, Licenses, Certifications

College, university, or equivalent. Master’s degree in Engineering or appropriate STEM field is required. Post‑graduate (Master’s) degree may be required for select roles. Position may require licensing for export controls or sanctions regulations.

Experience

Entry‑level/early‑career professional. Preferred candidates would have relevant experience working in either a temporary student employment environment (intern, co‑op, etc.) or as an early‑career professional in a relevant technical discipline area. Knowledge of MS Office tools is also preferred.

Qualifications

This is a newly created role that is part of the PSBU AI rapid response team that will field use cases where machine learning/AI tools can be applied to rapidly build solutions that provide impact.

Digital & AI Engineer – Responsibilities

• Utilize principles of statistical, graphical, and hypothesis‑led analysis to solve real‑world problems in engineering and digital domains.
• Leverage data analysis results to synthesize findings and translate them into clear stories enabling data‑assisted decisions.
• Support the development and testing of AI/ML/LLM prototypes, including persona‑based AI agents and digital workflow enhancements.
• Demonstrate good use of industry tools (Python, R, PowerBI, Azure Databricks, Excel).
• Participate in agile program activities such as sprint planning, backlog documentation, and team stand‑ups.
• Collaborate and communicate effectively with stakeholders across engineering, product, and digital teams.
• Work with development and simulation engineers to collaborate on using digital assets to solve engineering problems.
• Gather requirements, identify potential use cases, and manage the end‑to‑end deployment of AI/LLM/ML and agent‑based solutions.
• Collaborate on designing persona‑based AI agents using ChatGPT or other LLM tools.
• Define system prompts, tool integrations, and provide first‑line support for AI related enhancements.
• Develop documentation, user training, and change management strategies to drive adoption.

Impact & Adoption

• Translating data into stories and identifying business and product levers to drive improvement and optimization.
• Supporting the creation and adoption of AI‑enabled tools by contributing to training materials, documentation, and user feedback.
• Using understanding of statistics and programming to test hypotheses, identify causal mechanisms, and recommend actions.
• Contributing to AI and digital solution development aligned with Cummins’ Power Systems and enterprise digital strategies.
• Applying tools and languages related to Data Analysis and AI such as Python, R, Azure Databricks, PowerBI, Excel, generative AI tools and frameworks.

Job Skill Requirements

• Foundational knowledge of statistics, data analysis, and hypothesis testing.
• Exposure or interest in learning programming languages such as Python or R.
• Familiarity with data visualization and reporting tools (PowerBI, Excel).
• Interest in AI/ML concepts, including models, NLP, or generative AI (LLMs).
• Strong problem‑solving skills translating data into actionable insights.
• Effective written and verbal communication skills for engaging cross‑functional stakeholders.
• Ability to work collaboratively in an agile team environment, including participation in sprints and stand‑ups.
• Eagerness to learn new digital tools and adapt to emerging technologies.

Other Details

• College Job Type: Exempt Entry Level
• Engineering Subfunction: Technical Information Systems
• Degree Level: Master’s
• Education Program: Computer Science
• Start Date: Jan 2026
• Work Location: Onsite with flexibility
• Job Type: Exempt - Entry Level
• Relocation Package: Yes

Equal Employment Opportunity Statement

At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates the right to work using E‑Verify and will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I‑9 to confirm work authorization. Visit http://EEOC.gov to know your rights on workplace discrimination.

Additional Information

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