Description de l'entreprise
ALTEN Morocco, a subsidiary of the world leader in engineering and technology consulting, was established in 2008 and is now present in Fès, Rabat, Tétouan, and Casablanca. Today, the company has more than 2,200 employees and aims to become a center of excellence with 3,300 ALTENians by the end of 2027. It has positioned itself as a strategic player in supporting the professional development of engineers.
Our mission: To meet the technological ambitions of our clients — major international companies — in the automotive, railway, R&D and IT, telecommunications, and media sectors.
Joining ALTEN Morocco means becoming part of an ecosystem of excellence and benefiting from:
- A personalized and evolving career path
- An ambitious skills development policy
- A stimulating, collaborative, and meaningful work environment
Description du poste
- Collect, structure and process large volumes of data coming from automotive embedded systems (CSV, MF4, telemetry, sensors, CAN).
- Design and implement data ingestion and transformation pipelines.
- Clean, validate and prepare data (missing values, anomalies, normalization, feature engineering).
- Design, train and evaluate Machine Learning and Deep Learning models for thermal and vehicle performance use cases.
- Optimize and deploy predictive models into operational environments.
- Analyze vehicle and component performance in close collaboration with engineering teams.
- Work with data, IT and business teams and clearly present technical results and recommendations
Qualifications
- Master’s degree or Engineering degree in Data Science, Computer Science, Applied Mathematics or equivalent.
- Experience in automotive data or embedded systems projects is a strong asset.
Hard Skills
- Strong Python skills (pandas, NumPy, scikit-learn).
- Deep Learning frameworks: TensorFlow and/or PyTorch.
- Large-scale data processing and big data environments.
- Data preprocessing: cleaning, normalization, standardization and feature engineering.
- Machine Learning and Deep Learning model development, validation and optimization.
- Good understanding of automotive embedded data and systems: CAN, sensors, ECUs, ADAS, telemetry.
- Experience with Databricks (distributed processing, collaborative notebooks).
- Development environments: Visual Studio / VS Code.
- Knowledge of engineering and industrial data tools (GI tools, depending on project context)
Soft Skills
- Strong analytical mindset and attention to detail.
- Autonomy and ability to work in complex technical environments.
- Strong collaboration skills with multidisciplinary teams.
- Clear and effective written and verbal communication.
Informations supplémentaires
You are rigorous, creative, and curious, and you enjoy working as part of a team while developing your skills in a dynamic environment. You are passionate about service-oriented professions and wish to grow within a friendly and supportive work environment — join us!