AI/ML Technical Enablement Specialist

Key Responsibilities:

• Investigate electronic application and systems problems, analyze causal mechanisms, recommend appropriate actions, and own problem resolution with documentation.
• Apply and improve electronic application and systems development processes, including system specification, modeling, simulation, calibration, DVP&R, and troubleshooting.
• Collaborate with customers, technical and product teams, manufacturing engineers, suppliers, and stakeholders to deliver recommendations leading to quality product decisions.
• Make decisions in areas of system design, requirements, calibration, and testing that impact subsystem quality and performance.
• Review work of less-experienced developers/testers to ensure robust, reusable, and efficient design.
• Provide independent leadership for smaller projects or ownership of complex components, products, systems, or services with higher ambiguity.
• Coordinate and direct work amongst technicians and student employees; mentor and transfer knowledge to junior engineers.
• Deliver independent execution of established and emerging work processes while continuously developing technology or product knowledge.
• Facilitate a 12-week applied data science learning experience for engineers and technical staff.
• Coach participants in using tools like Databricks, Amazon Q, Palantir, and ChatGPT for agent-based automation.
• Guide learners in both code-based and low/no-code workflows to increase accessibility and impact.
• Support learners in using Python-based tools (e.g., Pandas, Scikit-learn) and low-code platforms (e.g., Power BI, Dataiku).
• Integrate LLM use cases such as prompt-driven analytics, code generation, and auto-documentation.
• Review learner projects and provide personalized feedback to strengthen data science maturity.
• Maintain a supportive coaching environment and collaborate to improve curriculum and resources.

Qualifications:

Education, Licenses, Certifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
• This position may require licensing for compliance with export controls or sanctions regulations.

Core Competencies:

• Builds networks – Building strong formal and informal relationships inside and outside the organization.
• Communicates effectively – Delivering clear and tailored communications to different audiences.
• Decision quality – Making good and timely decisions to keep projects moving forward.
• Drives results – Achieving results consistently, even under tough circumstances.
• Manages complexity – Making sense of complex information to solve problems effectively.
• Resourcefulness – Securing and deploying resources efficiently.
• Values differences – Recognizing and leveraging diverse perspectives and cultures.

Experience:

• Prior Senior or Lead Engineer equivalent work experience in a relevant discipline with a demonstrated track record of technical problem solving and quality decision-making.
• 2+ years in data science, analytics, engineering, or applied ML roles.
• 1+ years teaching, mentoring, or delivering bootcamps/training programs.
• Experience using LLMs like ChatGPT to enhance analytics or build internal tools.
• Familiarity with MS Office tools preferred.

Knowledge, Skills & Competencies:

Technical Competencies:

• Teaching & Mentoring technical staff.
• Expertise in Data Analysis or Data Science.
• Engineering or Technical Datasets; ideally an engineering background with data science skills to coach engineers effectively.
• Familiarity with platforms like Databricks, Palantir, Jupyter.
• Design and Application of Mechatronics Systems.
• Machine Integration and Optimization.
• Product Function Modeling, Simulation, and Analysis.
• Product Problem Solving.
• Product Verification and Validation Management.
• System Requirements Engineering.
• Systems Thinking.
• Design and Application of Open/Closed Loop Controls.

Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.