remote
Senior AI Engineer - Bayer
AI Engineer
Lead the design and deployment of advanced AI models for pharmaceutical research, leveraging Python, TensorFlow/PyTorch, and cloud services to drive innovative drug discovery and development initiatives.
About the role
Key Responsibilities
- Architect, develop, and optimize machine‑learning pipelines for large‑scale biomedical data.
- Design and implement deep‑learning models (CNN, RNN, transformer) to predict molecular properties and biological activity.
- Collaborate with cross‑functional scientists to translate research questions into AI solutions.
- Deploy and monitor AI services on cloud platforms (AWS) ensuring scalability, reliability, and security.
- Mentor junior engineers and promote best practices in code quality, version control, and reproducibility.
Requirements
- 5+ years of professional experience in AI/ML engineering, preferably in life‑science or pharmaceutical domains.
- Strong proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience with cloud infrastructure (AWS) and containerization (Docker, Kubernetes).
- Demonstrated ability to work with large, heterogeneous datasets and apply statistical/machine‑learning techniques.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to interdisciplinary teams.
Skills
pythontensorflowpytorchmachine learningdeep learningaws