Principal Full Stack Ml Engineer – Evinova

AstraZeneca

Advanced python programming with tensorflow or pytorch
Fastapi development for production-ready apis
Aws cloud services including cdk, eks, s3, iam
The role focuses on revolutionizing clinical trials by leveraging AI to increase success rates by 20% and accelerate timelines by 36 months

Job Summary

  • The role focuses on revolutionizing clinical trials by leveraging AI to increase success rates by 20% and accelerate timelines by 36 months.
  • Candidates will lead the end-to-end ML lifecycle, translating analytical prototypes into robust, scalable production systems while mentoring team members.
  • The position requires a minimum of three days per week in-office collaboration to foster bold thinking and drive digital transformation in healthcare.

Matching Summary

The role focuses on revolutionizing clinical trials by leveraging AI to increase success rates by 20% and accelerate timelines by 36 months.

Skills & Requirements

Must-have

  • Advanced Python programming with TensorFlow or PyTorch
  • FastAPI development for production-ready APIs
  • AWS cloud services including CDK, EKS, S3, IAM
  • End-to-end ML lifecycle management and deployment
  • Docker containerization and Kubernetes orchestration
  • CI/CD workflows using GitHub Actions
  • RESTful API design and error handling

Nice-to-have

  • Experience with Large Language Models and GenAI
  • TypeScript or strongly-typed programming language skills
  • Knowledge of healthcare AI regulatory requirements
  • Front-end development familiarity
  • Real-time data processing and streaming experience
  • Data visualization expertise
  • Previous pharmaceutical industry experience

Key Requirements

  • Degree in Computer Science, Mathematics, Physics or related quantitative field
  • Strong prior experience in data science roles focused on production-ready solutions
  • Minimum of three days per week office attendance required

Work Rights

Not specified

Tailored Resume

Cover Letter