Unlock Career Potential in Data Engineering
Job Overview:
We're seeking a skilled data engineer to bridge infrastructure and machine learning. The successful candidate will work closely with data scientists and ML engineers to bring GenAI models into production.
* Design and maintain CI/CD pipelines and cloud infrastructure using Terraform, emphasizing reliability, security, and scalability.
* Manage containerized ML applications with Docker; experience with Kubernetes is a plus.
* Support the full ML lifecycle by monitoring model performance, optimizing infrastructure, and sharing best practices across the team for continuous improvement.
Requirements:
* 3-5 years of experience as a data engineer, DevOps engineer or in a similar role.
* Programming expertise in Python in a machine learning or data context.
* Strong knowledge of Docker and cloud infrastructure; experience with Azure is a plus. And experience with Terraform; experience with Kubernetes (K8s) is a plus.
* Experience in a data engineering context is a plus, though heavy ETL is not the focus. Familiarity with cloud environments (Azure and GCP) and open-source tools like Airflow.
* English fluency is essential; knowledge of Dutch is a plus.
Bonus Points:
* Experience with MLOps tools (such as MLflow, Weights & Biases, or Azure ML).
* Knowledge of security best practices in cloud-based ML environments.
* Interest in or experience with GenAI, LLMs, or prompt engineering.
About the Team:
You'll join a multidisciplinary team consisting of data engineers, data scientists, and developers working on GenAI projects.