Senior Ml Engineer (all Genders)

Adesso Group

Nach Standort Suchen
On-site
Mlops principles
Model versioning
Feature stores
You will design and implement scalable ML architectures for highly available enterprise applications

Job Summary

  • You will design and implement scalable ML architectures for highly available enterprise applications.
  • You will build robust data, training, and deployment pipelines with clear CI/CD integration.
  • You will take on technical responsibility, steering decisions in ML projects and collaborating closely with platform and DevOps teams.

Matching Summary

You will design and implement scalable ML architectures for highly available enterprise applications.

Skills & Requirements

Must-have

  • MLOps principles
  • model versioning
  • feature stores
  • Python
  • Docker
  • Kubernetes
  • MLflow

Nice-to-have

  • engineering-oriented
  • test-driven approach
  • scalability and stability focus

Key Requirements

  • 5+ years experience in ML systems
  • Degree in Computer Science or related
  • Experience with AWS, Azure, or GCP
  • Proficient in German and English

Work Rights

Not specified

Tailored Resume

Cover Letter