Machine Learning Engineer (m/w/d) – MLOps & Software Engineering

Job summary

Develop machine learning products for operational planning, ensuring stability and maintainability of backend services. Collaborate with data scientists to bring models and feature pipelines into production while managing CI/CD pipelines in Azure DevOps.

Qualifications

• Experience in professional software engineering
• Proficient in Python in production context
• Experience with automated tests
• Experience with cloud environments and CI/CD
• Understanding of basic ML concepts
• Ability to explain technical topics appropriately

Responsibilities

• Work on backend services for tour planning estimation and operational estimators
• Ensure code quality and structure in ML repositories
• Collaborate with data scientists to reliably bring models and feature pipelines into production
• Build and maintain CI/CD pipelines in Azure DevOps
• Ensure reliable operation of systems in cloud environments

Skills

Languages

Relocation