Senior Data Scientist / AI Engineer | Casablanca (Morocco)
تفاصيل الوظيفة
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.
Job :
- 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 enhancing their digitalization and efficiency.
- In this role, you will develop predictive models specifically for predictive maintenance, inventory optimization, and customer segmentation and scoring, thereby contributing to an enriched 360° customer view.
- Finally, you will maintain an active technological watch to identify and explore new applications of Artificial Intelligence relevant to our industry.
Required profile :
Technical Skills:
- Proficiency in Python, ML/DL, APIs, 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 with data environments such as Azure, Databricks, & simplification...
- Proficiency in programming languages (Python, R, SQL) and Machine Learning libraries
Candidate Profile:
- Master's degree (Bac+5) in AI, Data Science, Software Engineering, or 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, and autonomy.
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