Data Scientist / AI Engineer | Casablanca (Morocco)

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 leverage the company's data assets 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 aimed at strengthening their digitalization and efficiency.

To this end, you will develop predictive models dedicated to predictive maintenance, stock 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 Open IA GPTs, OLLAMA, Claude, Gemini.
Familiarity with MLOps (CI/CD, monitoring, containerization).
Good SQL basics and understanding of Data architecture.
Good understanding of DWH/Datalake (architecture, modeling, business sources).
Experience with 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.
Business value and user experience orientation.
Strong analytical skills, Rigor, autonomy.