Key skills
CloudDockerGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflowAIMachine LearningMLGenerative AITensorFlowscikit-learnMLOpsGCPGoogle CloudCI/CDRemote Work
About this role
Role Overview
- Deploy and operate Machine Learning applications in production within Google Cloud Platform (GCP) environments
- Design, collect and orchestrate reliable, high-performance data pipelines
- Implement and maintain CI/CD tooling to automate deployments
- Develop and enhance application and model monitoring solutions
- Contribute to integrating ML and AI solutions into high-impact digital products
- Participate in the continuous improvement of MLOps, generative AI and LLMOps practices
Requirements
- University degree or engineering school diploma
- Minimum 4 years of proven experience in a similar role
- Strong experience in Machine Learning and applied statistics
- Proficiency in Python and major ML/DL libraries (scikit-learn, TensorFlow, PyTorch…)
- Good knowledge of data pipelines: data preparation, feature engineering, training, evaluation
- Awareness of model industrialization challenges (MLOps, deployment, monitoring)
- Comfortable with cloud and containerized environments (Docker, CI/CD, etc.)
- Operational level of English, both written and spoken
Tech Stack
- Cloud
- Docker
- Google Cloud Platform
- Python
- PyTorch
- Scikit-Learn
- Tensorflow
Benefits
- Up to 3 days of remote work per week
- Meal vouchers (face value €10, employer contribution 60%)
- Onboarding events and regular social gatherings (depending on team/site)
- All your vacation days available from day one
- Employee referral program up to €2,750
- Access to social and cultural activities
- Support for sustainable mobility (bike, carpooling)