Job Title: Machine Learning Infrastructure Specialist
We are seeking an experienced professional to drive the development and maintenance of robust machine learning infrastructure. This role will focus on bridging the gap between data engineering and AI solutions.
Responsibilities
* Designing and maintaining CI/CD pipelines and cloud infrastructure using Terraform, with a strong emphasis on reliability, security, and scalability.
* Managing containerized ML applications with Docker; experience with Kubernetes is a significant advantage.
* Supporting the full ML lifecycle by monitoring model performance, optimizing infrastructure, and sharing best practices across the team to foster continuous improvement.
Requirements
* Minimum 3-5 years of experience as a data engineer, DevOps engineer or in a similar role.
* Strong programming skills in Python within a machine learning or data context.
* Deep knowledge of Docker and cloud infrastructure; experience with Azure is a plus. Familiarity with Terraform; experience with Kubernetes (K8s) is a significant plus.
* Experience in a data engineering context is beneficial, though heavy ETL is not the primary focus. Familiarity with cloud environments (Azure and GCP) and open-source tools like Airflow is advantageous.
* Fluency in English is essential; knowledge of Dutch is a plus.
Preferred Qualifications
* 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.