Senior MLOps Engineer to lead projects where machine learning models are seamlessly translated into robust production environments. Design and build ML architectures, pipelines, and CI/CD processes for scalable and reliable AI solutions.
Requirements
- A completed master's degree in Data Science, Computer Science, or a comparable field
- At least 5 years of experience with MLOps, Data Engineering, or ML production environments
- In-depth knowledge of ML architectures, pipelines, and model deployment
- Experience with containerization (Docker) and orchestration via Kubernetes, with attention to scalability and resource management
- Experience with CI/CD tooling (GitHub Actions, GitLab CI/CD, Azure DevOps, or Jenkins) specifically applied to ML
- Experience with monitoring & observability: model drift detection, data quality monitoring
- Familiar with orchestration & workflow tools such as MLflow, Kubeflow Pipelines, Apache Airflow, or Prefect
- Knowledge of performance optimization: distributed training, GPU/TPU scaling, model compression (pruning, quantization)
- Experience with cloud platforms (Azure, AWS) including ML services (Azure ML, AWS SageMaker) and data platforms (Databricks, Snowflake, Dataiku)
- Experience with Infrastructure as Code (Terraform or ARM/Bicep)
- Good knowledge of Python and experience with ML frameworks such as PyTorch or TensorFlow
- Basic knowledge of data engineering: ETL/ELT, streaming (Kafka), big data (Spark)
- Understanding of security & compliance in AI applications (privacy, access control, GDPR)
- Strong communication skills towards business and stakeholders – you can translate complex concepts clearly
- Entrepreneurial attitude with which you strengthen customer relationships and shape new services
Benefits
- Fixed contract for 32–40 hours per week
- 27 vacation days and 4 study days per year
- Annual personal development budget of €3600, freely disposable
- Mobility allowance: lease car or OV subscription with a generous reimbursement
- Home office facilities and flexible working hours
- Good pension scheme and additional employee insurances
- Open culture that promotes knowledge sharing and initiative
- Career opportunities within the Netherlands and internationally (>11,000 colleagues in Europe)
