Ingénieur Intelligence Artificielle
GE Vernova
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.
Job Description
Job Description Summary
Collaborate closely with the different functions, lean teams and stakeholders to proactively identify and evaluate high-impact opportunities for AI/ML applications at site level.
Job Description
Partner with stakeholders by acting as a key AI partner to cross-functional project teams. Guide them through the potentials and limitations of AI/ML to effectively address specific business challenges. Translate business challenges into clear problem statements, measurable success criteria, and value hypotheses.
Act as a key partner for the site to leverage the AMP 2.0 possibilities. Coach different teams in AMP 2.0 and guide them through its functionalities to develop their own use-cases in AMP.
Drive the proof-of-concept (POC) development for high-impact opportunities at site level in close cooperation with the PT Central AI team. Quickly run feasibility tests or adapt existing use-cases for the site's business needs.
Partner with the PT central AI team and other stakeholders to scale AI POCs to production scale deployments and activate the business impact of the AI solution at site level.
Key skills/competency
- Ingénieur Intelligence Artificielle
- IA/ML Applications
- Machine Learning
- Python
- Data Analysis
- Proof of Concept (POC)
- Project Leadership
- Problem-Solving
- Communication
- Stakeholder Partnership
How to Get Hired at GE Vernova
- Tailor your resume: Highlight your AI/ML experience, Python proficiency, and project leadership skills relevant to GE Vernova's needs.
- Showcase your projects: Prepare to discuss specific AI/ML applications, POCs, and their business impact you've driven.
- Understand the domain: Demonstrate knowledge of GE Vernova's products and processes, and how AI can benefit them.
- Prepare for technical questions: Be ready to discuss your experience with data analysis, model evaluation, and scaling AI solutions.
- Highlight collaboration: Emphasize your ability to work with cross-functional teams and communicate complex ideas.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background