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AI Digitalization Expert

Job in Troy, Oakland County, Michigan, 48083, USA
Listing for: MSX International
Full Time position
Listed on 2026-03-04
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Company Description

MSX has been a trusted partner to leading vehicle manufacturers, their retailers, and mobility organizations globally for more than 30 years. Our unwavering commitment is to help our clients transform their businesses and effectively manage operations in the areas of:
Sales Performance;
Repair Optimization and Compliance;
Parts and Accessories Sales Performance; and Consumer Engagement. With our global teams, industry expertise, and the power of technology, we design and deliver tailored, sustainable, and innovative solutions and services that help our clients optimize their operations and captivate their customers.

Job Description Main Objective

Champion AI and digitalization opportunities across VS projects, ensuring practical deployment from tool selection to testing, implementation, and broader adoption. Report to the VS VP and collaborate closely with Global Solution and Lean Leaders/Experts.

This role is available from any MSX office in Europe or North America, following the local work order.

Responsibilities
  • Act as the AI adoption and Digitalization expert for the VS, contributing to planning and execution of AI and digitalization initiatives.
  • Combine automotive and mobility sectors' knowledge with technological exploration to identify, evaluate, and apply AI and digitalization tools (including ML, NLP, CV, RPA, GenAI) to address business opportunities and create value for both current and new projects, in close alignment with the AI & Data Center of Excellence Lead.
  • Participate in customer meetings to directly understand business needs, processes, and challenges in the automotive and mobility industries, translating these into effective AI and digitalization solutions.
  • Conduct feasibility studies and proof-of-concepts, translating AI and digitalization concepts into actionable business cases.
  • Drive project rollouts focused on automation and AI-enabled solutions in operational workflows, collaborating with VS Delivery, IT, and business teams.
  • Ensure robust, scalable, interpretable, and responsible AI and digitalization development, following best practices and industry standards.
  • Monitor adoption results, propose enhancements, and identify new use cases for continuous improvement.
  • Support Global Lean Leaders, VS Lean Experts, and Central Lean Team Experts during Kaizen events, identifying opportunities to introduce improvements and efficiencies through AI and digitalization.
Qualifications
  • Degree in AI / Data Science, Engineering, Business Management, or a related field.
  • Demonstrable experience applying AI/ML and digitalization solutions to real-world business problems, ideally within operational, automotive, or mobility industry contexts.
  • Strong understanding of business processes in the automotive and mobility sectors, with the ability to translate customer and OEM needs into technical solutions.
  • Experience engaging directly with customers and business stakeholders, with the ability to capture requirements and communicate complex technical concepts in business terms.
  • Strong communication, problem-solving, and stakeholder management skills.
  • Proven ability to deliver projects and translate technical insights into business value.
  • Self‑starter with the ability to work independently and as part of a dynamic, cross‑functional team.
  • Proficiency in Python and AI/ML frameworks (e.g., Tensor Flow, PyTorch) is a plus.
  • Proficiency in English is a must.
  • Candidate needs to be located either in Troy, MI or Irvine, MI.
Additional Information

MSX International is an Equal Employment Opportunity Employer committed to employing a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veteran status, age, or any other characteristic protected by law.

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