MLOps Engineer

Job Knowledge & Skills

Comprehensive understanding of the end-to-end machine learning lifecycle, including model training, validation, and deployment.

Knowledge of different model deployment strategies and tools (e.g., REST APIs, model servers)

Understanding of techniques for scaling machine learning models and optimizing performance.

Familiarity with data engineering concepts and tools for handling large datasets and building data pipelines

Knowledge of DevOps practices and how they apply to machine learning workflows.

Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent).

ERP knowledge preferably SAP functional skills is a requirement to be successful in this role