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Machine Learning Engineer

Il y a 2 mois


Paris, Île-de-France AXA Group Temps plein

About AXA Group Operations

AXA Group Operations is a driving force behind AXA's transformation into a sustainable, tech-led insurance company. We empower the evolution of our insurance business model through technology and innovation, implementing it globally with speed and high quality.

We operate across 17 countries with dedicated teams of experts who leverage technology, data, procurement, sourcing, security, and investment allocation on a global scale. At AXA Group Operations, we strive to be recognized for our cutting-edge Data Technology, Procurement & Sourcing strategies, and our High-Performing Global Team that fosters strong partnerships with AXA entities.

About the Role

We are seeking a skilled Machine Learning Engineer specializing in MLOps to join our dynamic team. In this role, you will play a crucial part in developing and implementing robust machine learning pipelines, ensuring seamless integration of models into production environments.

Responsibilities

  • Design, develop, and maintain efficient MLOps pipelines for deploying and managing machine learning models.
  • Collaborate with data scientists and engineers to ensure smooth model integration into existing systems.
  • Automate the testing, monitoring, and deployment of machine learning models.
  • Implement best practices for version control, CI/CD, and infrastructure management in MLOps workflows.
  • Contribute to the development and improvement of our MLOps platform and tooling.

Qualifications

  • Proven experience in developing and implementing MLOps pipelines.
  • Strong understanding of machine learning algorithms and model deployment strategies.
  • Expertise in cloud computing platforms (e.g., AWS, Azure, GCP).
  • Proficiency in scripting languages such as Python or Bash.
  • Experience with containerization technologies (e.g., Docker, Kubernetes).

Benefits

AXA Group offers a competitive compensation package and a comprehensive benefits program. We are committed to fostering a diverse and inclusive work environment where all employees feel valued and empowered.