Sr Machine Learning Engineer - Rabat

Company :

AXA Global Business Services – AXA GBS

At AXA Global Business Services, we believe in the power of partnerships, leveraging our expertise in business services and technology to support AXA entities in their core insurance operations, support functions, and digitization processes.

We are committed to developing fresh and innovative approaches that surpass expectations and address unique challenges. Our passionate team is dedicated to driving innovation and pushing boundaries further, leveraging unparalleled technical expertise to deliver top-notch solutions that add outstanding value to AXA entities.

With a strong focus on sustainability, corporate social responsibility, and DEI, we take pride in crafting solutions that not only drive business success but also contribute to a more sustainable and inclusive future. 

AXA GBS MOROCCO

Present in Morocco since 2009, AXA GBS MOROCCO ( Ex- AXA Group Operations Morocco) is an offshoring entity. With more than 300 employees and its various centers of expertise operating in the fields of IT, Project Management, Finance and Human Resources, AXA GBS MOROCCO supports AXA entities in carrying out its mission.

Company culture :

AXA GBS Morocco operates within a predominantly collaborative culture, where people, trust, and strong professional relationships are key priorities. The company promotes close and supportive management, encouraging accountability, development, and team cohesion. This human-centered approach is reinforced by a strong organizational framework, ensuring reliability, structure, and operational efficiency. It is complemented by a moderate focus on innovation and performance, supporting continuous improvement within a well-defined environment.

Job :

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.

Required profile :

• 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
• ML Frameworks and Tools: TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow
• Cloud Platforms: Azure (Azure ML, AKS, Data Lake, Data Factory, Databricks)
• DevOps & Automation: Docker, GitHub Actions, Azure DevOps, Terraform (preferred)
• Distributed Architecture: Strong understanding of distributed systems, data/model versioning, and scalable deployment practices

Soft Skills:

• Analytical mindset with strong technical rigor
• Excellent communication and collaboration skills
• Ability to work in agile, multicultural environments, taking ownership of projects
• Delivery-oriented with a focus on ownership and results

Head office address :

Desired personality traits :

Search for new things / novelty Need for reflection Need for autonomy Involvement at work Ambition