Sécurité Sociale is seeking a skilled Data Engineer specializing in AI and MLOps to develop robust data infrastructures and streamline machine learning operations in support of vital social security services.

Sécurité Sociale, a cornerstone of France's social welfare system, is looking for a dynamic Data Engineer IA / MLOps to join our innovative technology team. In this role, you will play a pivotal part in transforming raw data into actionable insights that enhance our services for millions of citizens. Your responsibilities will include designing and implementing scalable data pipelines to handle large volumes of sensitive information, automating MLOps workflows to accelerate AI model deployment, and ensuring high availability and security of our data systems.

You will collaborate with data scientists, analysts, and IT professionals to integrate machine learning models into production environments, leveraging cutting-edge tools to optimize performance and reliability. This position offers the chance to contribute to public good projects, such as fraud detection, predictive analytics for healthcare claims, and personalized service recommendations. If you are passionate about AI engineering and thrive in a structured yet innovative setting, this role at Sécurité Sociale will allow you to make a meaningful impact on societal well-being.

Key daily tasks include:

• Building and maintaining data ingestion frameworks for diverse sources
• Developing CI/CD pipelines for ML models with version control and testing
• Monitoring system performance and troubleshooting issues in real-time
• Collaborating on cross-functional projects to align data strategies with business goals
• Ensuring compliance with data privacy regulations like GDPR

Join us in Toulouse and be part of a team dedicated to leveraging technology for social equity.

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
• Proven experience with data pipelines, ETL processes, and tools like Apache Airflow, Kafka, or Spark
• Strong knowledge of MLOps practices, including model deployment, monitoring, and versioning with tools such as MLflow, Kubeflow, or Docker
• Proficiency in programming languages like Python, SQL, and Scala
• Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Snowflake)
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and DevOps tools (CI/CD, Git)
• Excellent problem-solving skills and ability to work in a collaborative, agile environment
• French language proficiency preferred; English is a plus

• Competitive monthly salary with performance-based incentives
• Comprehensive health and social security benefits aligned with French standards
• Flexible remote work options and professional development opportunities
• Generous paid time off, including parental leave and wellness programs
• Access to modern tools and technologies in a stable public sector environment
• Opportunities for career advancement within a mission-driven organization
• Collaborative team culture with regular training and certifications