Tech Stack
AWSAzureCloudPythonPyTorchScikit-LearnTensorflow
About the role
- Design and deploy scalable MLOps frameworks that streamline transition from data science to production
- Guide clients in operationalizing machine learning models for long-term impact and sustainable performance
- Lead MLOps implementations: design and build end-to-end MLOps pipelines, establish CI/CD practices for ML models, and automate deployment processes
- Ensure scalable and reliable Machine Learning systems in complex enterprise environments
- Drive innovation and thought leadership in MLOps, model governance, responsible AI, and GenAI
- Promote best practices and lead adoption of modern ML infrastructures across client organizations
- Mentor and guide teams: manage initiatives, coach junior engineers, and facilitate knowledge sharing
- Lead model governance discussions and develop innovative solutions to complex ML deployment challenges
- Support client development: shape ML infrastructure strategies and architect scalable platforms to enable AI transformations
Requirements
- A relevant and completed Master of Science degree
- Certifications in cloud platforms (Azure and/or AWS)
- 6–8 years of experience in DevOps, ML engineering, or software engineering with a focus on ML (preferably consulting)
- Extensive hands-on experience with MLOps tools and platforms
- Strong programming skills in Python
- Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost)
- Deep expertise in containerization and orchestration technologies for ML workloads
- Experience with cloud-native ML services and serverless computing for ML workloads
- Experience with Infrastructure as Code (IaC)
- Experience with stream processing and real-time ML inference architecture
- Experience with model monitoring, drift detection, and ML observability tools
- Understanding of ML security, testing strategies, model governance, and responsible AI practices
- Knowledge of feature stores, model registries, data- and model-versioning, and experiment tracking systems
- Good communication and presentation skills in both Dutch and English