Senior Ai Platform Engineer

medizinstellenmarkt.de

Hybrid (minimum of three days per week in the office)
Aws cloud ecosystem
Kubernetes and/or container-based deployments
Python programming language
AstraZeneca is seeking a Senior AI Platform Engineer to join their Enterprise AI Platforms and Operations Team, which focuses on leveraging AI to enhance healthcare solutions. The ideal candidate will have experience in AWS or similar cloud environments, strong programming skills, and a collaborative mindset

Job Summary

  • The Enterprise AI Platforms and Operations Team is responsible for building and running the platforms, tooling, and infrastructure that powers AstraZeneca’s ambition to use AI in every step of the value chain.
  • We deliver these tools through easy-to-access environments that allow AstraZeneca’s Data Scientists and Machine Learning Engineers to focus on building groundbreaking solutions for patients at scale.
  • You will help build, deploy, and develop our next generation of platforms and tools at scale.

Matching Summary

Match Score: 85

AstraZeneca is seeking a Senior AI Platform Engineer to join their Enterprise AI Platforms and Operations Team, which focuses on leveraging AI to enhance healthcare solutions. The ideal candidate will have experience in AWS or similar cloud environments, strong programming skills, and a collaborative mindset.

Skills & Requirements

Must-have

  • AWS cloud ecosystem
  • Kubernetes and/or container-based 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
  • MLOps practices and building pipelines
  • GxP compliant life science systems

Key Requirements

  • Bsc/MSc/Ph.D degree in Computer Science or related field
  • Experience as a founder, entrepreneur or experienced consultant
  • Demonstrable experience working with AWS or similar cloud
  • Administering a production cluster
  • Experience deploying infrastructure and tooling for ML/DS at Scale
  • Experience using DevOps for automation
  • Experience working with internal security standards
  • Experience working in a medical, clinical or pharmaceutical context

Work Rights

Not specified

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