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AI/ML Technical Enablement Specialist

Cummins Turbo Technologies

Cummins Turbo Technologies

IT, Software Engineering, Data Science
Pune, Maharashtra, India
Posted on Sep 22, 2025

DESCRIPTION

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.

RESPONSIBILITIES

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.

QUALIFICATIONS

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.

As Cummins continues to grow, you'll be provided with continuous learning opportunities, supportive benefits and a culture that values your wellbeing, safety and work-life balance. Here, you'll have the power to determine your future with innovative technology, a focus on sustainability and with a company positioned for long-term growth.