Applied Machine Learning Engineer – Hybrid | Applied Machine Learning Engineer (x|w|m) – Hybrid

Job Summary

This Applied Machine Learning Engineer role focuses on developing and supporting cutting-edge, software-based products for the pharmaceutical and biotech industries. Day-to-day responsibilities include integrating, implementing, and designing machine learning models and analytical functions for both cloud-based and on-premise applications, ensuring seamless integration and rapid deployment across various products. The engineer will collaborate closely with data scientists and software engineers to integrate models into production systems (Cloud/Edge) and optimize them for efficiency and scalability. Key qualifications include a Bachelor's or Master's degree in Computer Science or a related field, proven programming expertise in languages like Python or C#, and fundamental experience deploying ML models into production. The position is full-time and offers a hybrid work model, allowing for remote work combined with on-site presence in Helsinki, Ann Arbor, or Göttingen.