At the forefront of innovation, we seek a seasoned Data Engineer to spearhead the development and maintenance of our GenAI solutions. This pivotal role bridges infrastructure and machine learning, fostering seamless collaboration between data scientists and ML engineers to bring cutting-edge models into production while ensuring robust, scalable, and efficient systems.
Your Key Responsibilities
* Design and maintain Continuous Integration/Continuous Deployment pipelines and cloud infrastructure using Terraform, prioritizing reliability, security, and scalability.
* Manage containerized Machine Learning applications with Docker, with Kubernetes expertise being a significant advantage.
* Support the full Machine Learning lifecycle by monitoring model performance, optimizing infrastructure, and sharing best practices to drive continuous improvement.
Requirements
* A minimum of 3-5 years of experience as a data engineer, DevOps engineer, or in a similar role.
* Proficiency in Python within a machine learning or data context is essential.
* Strong knowledge of Docker and cloud infrastructure, with Azure experience being a significant plus. Additionally, experience with Terraform and Kubernetes (K8s) is highly desirable.
* Experience in a data engineering context is beneficial, although heavy ETL is not the primary focus. Familiarity with cloud environments and open-source tools like Airflow is a significant advantage.
* English fluency is imperative; knowledge of Dutch is a valuable asset.