AI Digitalization Expert
MSX International
full-time
Posted on:
Location Type: Remote
Location: Italy
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Tech Stack
About the role
- Act as the AI adoption and Digitalization expert for the VS.
- Contribute to planning and execution of AI and digitalization initiatives.
- Identify, evaluate, and apply AI and digitalization tools for business opportunities.
- Participate in customer meetings to understand business needs and challenges.
- Conduct feasibility studies and proof-of-concepts for AI solutions.
- Drive project rollouts focused on automation in operational workflows.
- Ensure robust and responsible AI development following best practices.
- Monitor adoption results and propose enhancements for continuous improvement.
- Support Global Lean Leaders and VS Lean Experts during Kaizen events.
Requirements
- 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.
- Strong understanding of business processes in the automotive and mobility sectors.
- Experience engaging directly with customers and business stakeholders.
- 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., TensorFlow, PyTorch) is a plus.
- Proficiency in English is a must.
Benefits
- Equal opportunities employer
- Encourage applications from suitably qualified candidates regardless of personal characteristics
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AIMachine LearningDigitalizationPythonTensorFlowPyTorchFeasibility StudiesProof-of-ConceptsAutomationProject Management
Soft skills
CommunicationProblem-SolvingStakeholder ManagementSelf-StarterTeamworkAdaptabilityCustomer EngagementAnalytical ThinkingContinuous ImprovementLeadership