Job description

Company culture :

CAC (Centrale Automobile Chérifienne) is characterized by a strong collaborative culture, placing people, trust and teamwork at the core of its organization. A close management approach supports guidance, empowerment and long-term working relationships within committed teams. This dynamic is complemented by a competitive dimension, focused on performance, ambition and customer satisfaction. It is also supported by a structured organizational culture, ensuring rigor, efficiency and process reliability, while a more moderate innovative component fosters adaptability and continuous improvement.

• You will use the company's data to design predictive models and integrate Artificial Intelligence solutions into our business processes.
• You will also participate in the intelligent automation of our internal processes by integrating AI technologies to strengthen their digitalization and efficiency.
• In this role, you will develop predictive models for predictive maintenance, inventory optimization, and customer segmentation and scoring, thus contributing to enriching the 360° customer view.
• Finally, you will ensure active technological monitoring to identify and explore new uses of Artificial Intelligence applicable to our business sector.

Technical Skills:

• Proficiency in Python, ML/DL, API, Azure cloud (Data Factory/Fabric preferred),
• Knowledge of OpenAI GPTs, OLLAMA, Claude, Gemini.
• Basic understanding of MLOps (CI/CD, monitoring, containerization).
• Good foundation in SQL and understanding of Data architecture.
• Good understanding of DWH/Datalake (architecture, modeling, business sources).
• Experience in data environments such as Azure, Databricks, & popularization...
• Proficiency in programming languages (Python, R, SQL) and Machine Learning libraries

Profile sought:

• Master's degree (Bac+5) in AI, Data Science, Software Engineering, Computer Science.
• 2-5 years of experience in Data/AI
• Ability to solve complex problems with a pragmatic approach.
• Focus on business value and user experience.
• Strong analytical skills, Rigor, autonomy.