Senior Machine Learning Engineer (Copenhagen)

Job summary

The role involves designing, building, and maintaining scalable infrastructure that supports data and machine learning workloads, primarily in cloud environments. The position is part of a team focused on enhancing platform reliability and operational maturity while facilitating advanced AI applications.

Qualifications

• Minimum of 4 years of experience in infrastructure engineering, platform engineering, data engineering, or large-scale software engineering.
• Strong practical experience with Python and SQL.
• Experience in cloud environments such as GCP, AWS, or Azure.
• Familiarity with ML frameworks like PyTorch or TensorFlow.
• Knowledge of MLOps tools such as MLflow or Kubeflow.
• Experience with CI/CD, version control, API design, and testing best practices.

Responsibilities

• Design and maintain production-grade infrastructure for data and ML workloads.
• Collaborate with data scientists to convert research prototypes into production systems.
• Implement reliable and scalable data and ML platforms.
• Identify and resolve technical debt and inefficiencies in infrastructure.
• Contribute to best practices in CI/CD, version control, and automation.

Skills

• Strong interest in building automated and reliable platforms for AI and data workloads.
• Collaborative mindset with the ability to work across disciplines.

Education

• Relevant degree in computer science, engineering, or a related field is preferred.

Tools

• Familiarity with data processing tools like Spark, Flink, or Airflow is a plus.
• Experience with Docker and Kubernetes for deployment is advantageous.