Senior MLOps Engineer for AI Drug Discovery

Empower AI-driven drug discovery as a Senior MLOps Engineer. Optimize the infrastructure for machine learning pipelines with hands-on cloud and CI/CD experience while collaborating with cross-disciplinary teams. You will own and enhance production infrastructure focused on AI and drug development. Collaborating with ML scientists, you will ensure the reliability and scalability of the platform while managing cloud environments and automated workflows. Your expertise will make complex systems user-friendly for researchers and engineers alike. Key Responsibilities: • Maintain cloud infrastructure using Terraform and GCP • Manage permission policies across cloud environments • Evolve CI/CD pipelines with best practices • Support workflow orchestration platforms and tools • Configure ML experiment tracking and registry solutions Requirements: • 4+ years in production infrastructure or MLOps • Proficiency in GCP and Terraform • Strong skills in Kubernetes and Docker • Hands-on CI/CD experience with CircleCI or GitHub Actions • Expertise in Python programming language Elevate infrastructure reliability and performance to support transformative AI research in drug discovery.