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, learning tools like Terraform and CI/CD.
Collaborate with data scientists and ML engineers to deliver platform improvements, contribute to documentation, and grow skills in a dynamic environment.
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
AWS fundamentals
Kubernetes (EKS) concepts
Data Science platforms
Domino Data Science Platform
Amazon SageMaker
Databricks Platform
Jupyter Notebook
Kubeflow
Nice-to-have
CI/CD practices
GitOps principles
observability tools
security best practices
cost optimization efforts
FinOps guidance
Key Requirements
3+ years of experience with AWS fundamentals
Exposure to Kubernetes (EKS) concepts
Bachelor’s degree in Computer Science or equivalent practical experience