Hybrid (3 days in-office, flexible for remote work)
Aws or similar cloud ecosystem
Kubernetes and/or container deployments
Python programming language
Zse68 is seeking an Associate AI Platform Engineer to join their Enterprise AI Platforms and Operations Team, which focuses on leveraging AI across AstraZeneca’s operations. The ideal candidate should have experience in deploying machine learning or data science at scale, particularly within AWS or similar cloud environments, and possess strong programming skills, particularly in Python
Job Summary
The Enterprise AI Platforms and Operations Team builds and runs platforms, tooling, and infrastructure for AI across AstraZeneca's value chain.
You will collaborate with Data Scientists and Machine Learning Engineers to build platforms underpinning their research and accelerate AI initiatives.
This role offers the chance to create tools that advance healthcare and improve patient lives by driving disruptive transformation in a digital and data-led enterprise.
Matching Summary
Match Score: 85
Zse68 is seeking an Associate AI Platform Engineer to join their Enterprise AI Platforms and Operations Team, which focuses on leveraging AI across AstraZeneca’s operations. The ideal candidate should have experience in deploying machine learning or data science at scale, particularly within AWS or similar cloud environments, and possess strong programming skills, particularly in Python.
Skills & Requirements
Must-have
AWS or similar cloud ecosystem
Kubernetes and/or container deployments
Python programming language
Infrastructure as Code for ML/DS
DevOps automation strategies
Agile team experience
Nice-to-have
Creative, collaborative, and resilient
Production first attitude
GxP compliant life science systems
Key Requirements
Bsc/MSc/Ph.D degree in Computer Science or related field
Experience with AWS or similar cloud environment
Experience with Kubernetes and/or container-based deployments
Experience administering production clusters
Experience building and delivering software using Python
Experience deploying ML/DS infrastructure using Infrastructure as Code
Experience using DevOps for automation
Experience with MLOps practices
Experience working in an Agile team
Experience with internal security standards and frameworks
Experience working with GxP compliant life science systems