StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
5+ YOEBachelor’s degree, 5 years designing production software systems, 2 years developing or using ML, AI, or data-driven solutions, and experience with scalable architectures, cloud infrastructure, data systems, and AI/ML design.
StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
8+ YOEBachelor’s degree and 8+ years building production software, AI/ML systems, or data platforms; 5+ years architecting production AI/ML solutions in Python with cloud, LLM, RAG, and vector databases.
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
8+ YOEBachelor's degree in a technical field; 8+ years building production software, AI/ML systems, or data platforms; 5+ years architecting production AI/ML solutions in Python; agentic AI and cloud experience required.
AlixPartners: Global business advisory specializing in turnaround and performance improvement.
5+ YOE5+ years in software, data engineering, data science, or ML roles; 5+ years deploying ML/AI in production; Python and ML framework experience; cloud deployment (Azure/AWS/GCP) and CI/CD/MLOps experience; strong communication and leadership skills.
FaureciaEuronext Paris: FRVIA: Designs and produces automotive seats and interior modules.
Bachelor's in a related field, experience implementing AI/ML and computer vision in manufacturing, evaluating vendors/platforms, delivering projects to production, strong stakeholder and communication skills.
FORVIAEuronext Paris: FRVIA: Designs and manufactures automotive systems and technologies.
Bachelor's degree in a technical field, experience implementing AI/ML or computer vision solutions in manufacturing, strong understanding of AI technologies, vendor/platform evaluation, and delivery of projects to production.
MascoNew York Stock Exchange: MAS: Manufactures and distributes home improvement and building products.
Substantial enterprise data architecture experience, including governed data models, master data, attribution, and harmonization across business units; knowledge of cloud platforms, SQL, Python, ETL/ELT, and BI models.