Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches
Job Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches.
Support the build and operation of AWS and Kubernetes infrastructure for data science and ML workloads, automating environments and managing platforms.
Collaborate with data scientists and ML engineers to deliver platform improvements, document processes, and contribute to cost and reliability optimization.
Matching Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches.
Skills & Requirements
Must-have
Amazon SageMaker
Databricks Platform
Domino Data Science Platform
Kubeflow
Jupyter Notebook
AWS fundamentals
Kubernetes (EKS) concepts
Nice-to-have
CI/CD
GitHub
GitLab
Jenkins
Terraform
problem-solving skills
customer-focused mindset
Key Requirements
Bachelor’s degree or equivalent practical experience
3+ years of experience with AWS fundamentals
Exposure to Kubernetes concepts and/or hands-on practice