Description
Lead infrastructure development as a Senior MLOps Engineer in AI-driven drug discovery. Focus on managing cloud platforms and CI/CD pipelines to support groundbreaking research efforts.
You will be responsible for evolving the infrastructure that supports robust ML pipelines. By working closely with bioinformatics and ML teams, your goal is to create a scalable and efficient environment that promotes productivity and innovation, thereby advancing the field of drug discovery.
Key Responsibilities: • Maintain and improve cloud infrastructure with Terraform • Manage IAM and RBAC policies for security • Own CI/CD pipeline evolution and best practices • Support orchestration tools for ML workflows • Administer and track ML experiments efficiently
Requirements: • 4+ years of MLOps or infrastructure management experience • Proficient with GCP, Terraform, and Docker • Hands-on with CI/CD platforms like CircleCI • Experience managing GPU resources • Strong Python prog...
You will be responsible for evolving the infrastructure that supports robust ML pipelines. By working closely with bioinformatics and ML teams, your goal is to create a scalable and efficient environment that promotes productivity and innovation, thereby advancing the field of drug discovery.
Key Responsibilities: • Maintain and improve cloud infrastructure with Terraform • Manage IAM and RBAC policies for security • Own CI/CD pipeline evolution and best practices • Support orchestration tools for ML workflows • Administer and track ML experiments efficiently
Requirements: • 4+ years of MLOps or infrastructure management experience • Proficient with GCP, Terraform, and Docker • Hands-on with CI/CD platforms like CircleCI • Experience managing GPU resources • Strong Python prog...
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