Contribute to the transformation of companies and public actors by combining technological innovation and business expertise to advance our clients and society sustainably.
Requirements
- Experience in automating deployments (CI/CD, pipelines, versioning) and monitoring AI models.
- Solid knowledge of machine learning, deep learning, and LLM concepts.
- Mastering one or more cloud environments (AWS, GCP, Azure) and one or more MLOps frameworks (e.g. MLflow, Kubeflow, TFX, DVC).
- Understanding of the challenges related to scalability, reliability, and security of AI / Cloud solutions in production.
- Ability to work collaboratively with multidisciplinary teams (data scientists, cloud engineers, DevOps).
- Innovation spirit and vigilance around AI.
Benefits
- Personalized career path
- Two complementary axes of evolution for talents
- Access to over 200 courses in the OnePoint school
- Flexible work environment
- Telework charter
- Leisure and sports activities
- Medical cabinet in free access
- Working groups dedicated to equality and diversity