remote
Principal Machine Learning Scientist - Bayer
ML Engineer
Lead advanced AI research and production of cutting‑edge machine learning models, driving innovation in health and sustainability using Python, deep learning frameworks, and cloud platforms.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning solutions for complex biomedical and agricultural challenges.
- Lead cross‑functional research teams, translating scientific insights into production‑ready models.
- Architect end‑to‑end ML pipelines, ensuring reproducibility, performance, and compliance with data governance.
- Mentor junior scientists and engineers, fostering a culture of continuous learning and technical excellence.
- Collaborate with stakeholders to define product roadmaps and translate business needs into technical specifications.
Requirements
- PhD or equivalent experience in Machine Learning, Computer Science, Bioinformatics, or related field.
- Extensive experience with Python, TensorFlow/PyTorch, and large‑scale data processing.
- Proven track record of deploying ML models in cloud environments (AWS, GCP, or Azure).
- Strong analytical skills, with the ability to communicate complex concepts to non‑technical audiences.
- Excellent teamwork, leadership, and project management abilities.
Skills
machine learningpythondeep learningtensorflowpytorch