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GE Vernova

Ingénieur Intelligence Artificielle Site

GE Vernova · Villeurbanne, Auvergne-Rhône-Alpes, France

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  • On site
  • Full-time
  • $95,000 / year
  • Villeurbanne, Auvergne-Rhône-Alpes, France

Job highlights

  • Identify high-impact AI/ML opportunities at site level.
  • Partner with stakeholders, translating business challenges into AI solutions.
  • Drive POC development and scale AI applications.
  • Coach teams on AMP 2.0 and AI/ML capabilities.
  • Apply AI/ML to operations like forecasting and computer vision.

About the role

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

Skills & topics

  • Ingénieur Intelligence Artificielle
  • AI Engineer
  • Machine Learning
  • Artificial Intelligence
  • Data Analysis
  • Python
  • Computer Vision
  • Time Series Forecasting
  • Anomaly Detection
  • NLP
  • LLM
  • Computer Science
  • Big Data
  • Industry 4.0
  • POC
  • AMP 2.0
  • GE Vernova

How to get hired

  • 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.

Technical preparation

Master foundational AI/ML concepts.,Practice Python for data analysis and ML.,Build POCs for common operational challenges.,Understand model evaluation and deployment.

Behavioral questions

Describe a complex technical problem you solved.,How do you collaborate with non-technical teams?,How do you prioritize AI opportunities?,Tell me about a project you led from concept to completion.

Frequently asked questions

What is the primary focus of the Ingénieur Intelligence Artificielle role at GE Vernova?
The Ingénieur Intelligence Artificielle role at GE Vernova focuses on identifying, developing, and scaling AI/ML applications to drive business impact at the site level, acting as a key AI partner to various teams.
What kind of AI/ML experience is most relevant for this position at GE Vernova?
GE Vernova is looking for hands-on experience applying AI/ML to operations, including data analysis, time-series forecasting, anomaly detection, computer vision, optimization, and basic NLP/LLM use cases, with strong Python and data analysis skills.
What is AMP 2.0 and what is my role as an Ambassador?
AMP 2.0 appears to be a platform or framework at GE Vernova. As an Ambassador, you will be responsible for leveraging its possibilities, training teams on its functionalities, and guiding them in developing their own use-cases within AMP 2.0.
Does GE Vernova offer relocation assistance for this Ingénieur Intelligence Artificielle position?
According to the job description, GE Vernova does not provide relocation assistance for this specific role.
What are the required qualifications for the Ingénieur Intelligence Artificielle role at GE Vernova?
The required qualifications include a Master’s degree in Computer Science, Digital Innovation, Big Data, AI, or Industry 4.0, practical AI/ML experience with Python and data analysis, and fluency in both French and English.
How does GE Vernova approach scaling AI solutions from POC to production?
GE Vernova partners with the PT central AI team and other stakeholders to scale AI Proofs of Concept (POCs) to production-level deployments, ensuring the AI solution delivers business impact at the site level.
What kind of problem-solving skills are expected from an AI Engineer at GE Vernova?
The role requires strong analytical and problem-solving skills, with a proactive approach to identifying and resolving technical challenges, as well as the ability to translate business challenges into clear problem statements.