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MISSION: The Senior Data Scientist can code, build, and deploy production-ready AI solutions. The ideal candidate is hands-on with Python, LLM frameworks (LangChain, LlamaIndex), and has experience in creating reusable agentic components. You’ll work on integrating both OpenAI and open-source LLMs into scalable, cloud-based solutions that deliver real business value.
KEY EXPECTED ACHIEVEMENTS
Business understanding & Solution implementation
• The business need is understood and formalized in a descriptive datasheet or specifications
• The methods are identified through external researches and selected by their theoretical bases, advantages and drawbacks.
• The results of the analysis or the models are presented to the customers with data visualisation tools indicating the performances and the limits. The source code is delivered and explained if necessary.
Technical Capabilities
- Design, build, and deploy LLM-powered applications and agents for automation and workflow optimization.
- Develop reusable agentic components
- Work hands-on with Python, LangChain, and LlamaIndex.
- Leverage OpenAI APIs and open-source LLMs (e.g., GPT, LLaMA, Gemini, etc.).
- Prepare and process structured/unstructured datasets for fine-tuning or training models.
- Deploy scalable solutions on cloud platforms (Azure preferred) and manage the lifecycle with MLOps best practices.
- Stay up to date with the latest GenAI/LLM advancements and apply them to real-world problems.
- Ability to design reusable, production-grade AI components.
- Practical experience with both proprietary (OpenAI) and open-source LLMs.
- Experience deploying solutions on Azure (preferred) or other major cloud platforms.
- Strong problem-solving skills with a focus on building, not theory....
Health of the metier
• The metier is well supported by the data scientist network with proposals for improvements to develop people, technos, processes.
Skills Required
- Experience with Python, LangChain, and LlamaIndex
- Hands-on experience with OpenAI APIs and open-source LLMs
- Experience deploying solutions on Azure
Michelin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Michelin and has not been reviewed or approved by Michelin.
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Healthcare Strength — Healthcare access is described as broad, including medical, prescription, dental, mental/behavioral health support, and disability and life insurance coverage. Global baseline protections also emphasize healthcare coverage for employees and families.
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Retirement Support — Retirement support is characterized as strong, with a 401(k) plus additional retirement components referenced alongside profit sharing in the overall package. Financial benefits are framed as a meaningful part of total rewards beyond base salary.
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Parental & Family Support — Parental and family support is positioned as a notable strength through global minimum paid maternity/adoption and paternity/adoption leave, plus survivor benefits tied to salary and education support for children. Additional family-oriented benefits such as adoption assistance are also included in the package.
Michelin Insights
What We Do
Michelin, the leading tire company, is dedicated to sustainably improving the mobility of goods and people by manufacturing and marketing tires and services for every type of vehicle, including airplanes, automobiles, bicycles/motorcycles, earthmovers, farm equipment and trucks. It also offers digital mobility support services and publishes travel guides, hotel and restaurant guides, maps and road atlases. Headquartered in Clermont-Ferrand, France, Michelin is present in more than 170 countries, has 111,200 employees and operates 67 production plants in 17 different countries. Michelin has a Technology Center in charge of research and development, with operations in Europe, North America and Asia. In short, whether you look at our mission, our products or our people, Michelin is a company that truly helps you to move forward....
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