Principal Full Stack Ml Engineer – Evinova

Evinova

Not specified; not specified; not specified
Hybrid (minimum three days in-office per week)
Advanced python programming with tensorflow or pytorch
Fastapi development for production-ready apis
Aws cloud services including cdk, eks, s3, iam
Evinova is seeking a Principal Full Stack Machine Learning Engineer to lead the development of advanced ML solutions aimed at transforming clinical trials. The ideal candidate will possess strong coding skills, experience in deploying production-ready ML models, and a passion for innovation in healthcare

Job Summary

  • The role involves revolutionizing clinical trials by leveraging cutting-edge AI to increase success rates and accelerate timelines.
  • Candidates will lead the end-to-end ML lifecycle, translating analytical prototypes into robust, scalable production systems.
  • The position offers an opportunity to mentor team members and drive digital transformation within a multidisciplinary healthcare environment.

Matching Summary

Match Score: 85

Evinova is seeking a Principal Full Stack Machine Learning Engineer to lead the development of advanced ML solutions aimed at transforming clinical trials. The ideal candidate will possess strong coding skills, experience in deploying production-ready ML models, and a passion for innovation in healthcare.

Salary

Not specified; Not specified; Not specified

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
  • Mentoring team members in software engineering

Nice-to-have

  • Experience with Large Language Models and GenAI applications
  • TypeScript or strongly-typed programming language skills
  • Knowledge of healthcare AI regulatory requirements
  • Data visualization expertise for complex datasets
  • Real-time data processing and streaming experience
  • Front-end development familiarity
  • 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 three days per week in-office attendance required

Work Rights

Not specified

Tailored Resume

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