Ingénieur Machine Learning
On-siteRabat, Rabat-Salé-Kénitra, Morocco
Job Summary
Design and industrialize large-scale machine learning and deep learning models, establishing end-to-end training, evaluation, and deployment pipelines on Azure cloud infrastructure. Optimize model performance, latency, and inference costs while collaborating with data scientists to transform prototypes into production-ready solutions. Implement robust, scalable MLOps architectures including data versioning, model registries, and monitoring systems, ensuring documentation and best practices for maintainability. Leverage over five years of experience to guarantee reliability and scalability of AI solutions within the insurance sector, supporting agile delivery and ownership of technical outcomes.
Required Qualifications
- Bac+5
- Python
- SQL
- PySpark
- TensorFlow
- PyTorch
- Scikit-learn
- XGBoost
- Random Forest
- MLflow
- Kubeflow
- Azure ML
- ML Pipelines (CI/CD)
- Azure (AKS, Data Lake, Data Factory, Azure ML Studio)
- Docker
- GitHub Actions / Azure DevOps
- Terraform
- 5 ans d'expérience en Machine Learning ou Data Engineering
- Expérience concrète de bout en bout : entraînement → déploiement → monitoring
- Exposition à des environnements cloud (idéalement Azure)
- Esprit analytique et rigueur technique
- Bonne communication et sens de la collaboration
- Capacité à travailler dans des environnements agiles et multiculturels
- Orientation delivery et ownership
- Poste basé à : Rabat
- Mode d'intervention : Hybride
- Type de contrat : Freelance
Desired Qualifications
- Azure (souhaité)
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