Digital Manufacturing Solutions Intern
Today• Milan, Italy
Job Description Summary
Looking to make a global impact and help shape the future of intelligent manufacturing? Join GE Vernova's Manufacturing Engineering team at our Sesto San Giovanni site and gain unparalleled hands-on experience within our cutting-edge engineering environment. This project-oriented internship is designed to immerse you in GE Vernova's strategic initiatives and demonstrate how advanced automation and AI-enabled solutions drive operational excellence across our manufacturing operations.
Job Description
Roles and Responsibilities:
- Contribute to the development and deployment of Agentic Manufacturing Solutions (AMS), integrating LLM-powered Vertical AI Agents with MPC, OR, and DRL techniques.
- Support the creation of cognitive preprocessing modules for handling heterogeneous and noisy manufacturing data.
- Assist in designing optimization workflows using MPC for scheduling, resource allocation, and multi-objective decision-making under constraints.
- Participate in the prototyping and testing of DRL-based adaptive control strategies.
- Collaborate with cross-functional teams to validate AI-driven decision-making in real manufacturing environments.
- Contribute to transparency and explainability modules to help operators understand and trust system recommendations.
- Engage in iterative design reviews with manufacturing experts to ensure alignment with shop-floor requirements and industrial standards.
- Analyze system performance to quantify improvements in productivity, quality, and resource efficiency.
Desired Characteristics:
- Strong analytical and quantitative skills with an interest in AI, optimization, or advanced automation.
- Ability to clearly communicate technical concepts and collaborate with cross-functional teams.
- Demonstrated integrity with a strong team-oriented mindset.
- Curiosity and willingness to work in a fast-paced, innovation-driven industrial environment.
- Capacity to work independently, propose improvements, and adopt a proactive approach to problem-solving.
Qualifications / Requirements:
- Italian work permit is required.
- Ready to graduate or recent graduate from an MSc or Master's degree.
- Major in Engineering, Computer Science, Automation, Robotics, Industrial Engineering, or related fields is preferred.
- Prior experience in manufacturing, AI/ML projects, automation, or optimization is considered a plus.
- Participation in exchange programs will be considered a plus.
- Fluent in spoken and written English. Fluency in Italian is preferred.
- Knowledge of Python, data analysis, optimization methods, machine learning, or control systems is highly valued.
- English is required.
- Hybrid job.
- Preferred start date: beginning/mid of January
Additional Information
Relocation Assistance Provided: No
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Client-provided location(s): Milan, Italy
Job ID: GE_Vernova-1982716731
Employment Type: INTERN
Posted: 2025-12-17T18:32:53
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Adoption Assistance Program
- Family Support Resources
- Birth Parent or Maternity Leave
- Adoption Leave
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Summer Fridays
Financial and Retirement
- 401(K)
- Stock Purchase Program
- Performance Bonus
- Relocation Assistance
- Financial Counseling
- Profit Sharing
Professional Development
- Tuition Reimbursement
- Access to Online Courses
- Lunch and Learns
- Leadership Training Program
- Internship Program
- Associate or Rotational Training Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
- Unconscious Bias Training
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