Senior ML Engineer, Biologics Discovery - BE
Core
Build and operate integration, deployment, lifecycle management, and governance capabilities for ML models and AI solutions in Biologics Discovery environments.
Role type
Senior ML Engineer (MLOps & AI Operations)
Builds
Production-grade AI/ML workflows, model serving pipelines, and operational infrastructure for scientific discovery
Domain
Biologics Discovery / Pharmaceutical R&D
Deliverable
production ML models
Required skills
Python, Cloud infrastructure, Model registries, Experiment tracking, ML lifecycle management, CI/CD, Observability, Data governance
Preferred skills
Generative AI, Agentic workflows, Scalable compute, Reproducibility practices
Technologies
MLflow, Weights & Biases, Cloud platforms
Responsibilities
Build scalable pipelines delivering model-ready data to AI workflows; Establish monitoring and alerting for ML workflows and deployed models; Implement model versioning, rollback, and traceability; Partner with data scientists to establish integration patterns between scientific data and AI workflows
Seniority
Senior, hands-on IC
