Originally posted on Rekrute · Yesterday
Sr Machine Learning Engineer
AXA GBS Morocco · Rabat
Job description
Model Design and Development:
Design, train, and optimize Machine Learning and Deep Learning models using frameworks such as TensorFlow, PyTorch, and Scikit-learn. Collaborate with Data Scientists to turn prototypes into production-ready solutions.
Industrialization and Deployment:
Implement CI/CD pipelines for training, evaluation, and deployment of models on Azure. Automate these processes to ensure continuous, reliable delivery.
Performance Optimization in Production:
Improve model inference performance, reduce latency, and optimize costs. Make adjustments to ensure scalability and robustness.
MLOps and Cloud Architecture:
Contribute to building a comprehensive MLOps architecture, including versioning data and models, model registry, monitoring, and incident management.
Documentation and Best Practices:
Document models, pipelines, and processes to ensure maintainability, reusability, and compliance with company standards.
Collaboration and Communication:
Work closely with Data Science, Data Engineering, and DevOps teams in an agile, multicultural environment to deliver high-value solutions.
Minimum of 5 years in Machine Learning, Data Engineering, or related fields
Proven experience in end-to-end model deployment, monitoring, and maintenance in production
Cloud experience, ideally with Azure, for implementing MLOps solutions
Technical Skills Required:
Programming Languages: Python, SQL, PySpark