Machine Learning Engineer (m/f/d)

PAYBACK

Munich, Germany
Not specified; not specified; benefits: tasty brea...
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Python development experience
Google cloud platform (gcp) expertise
Mlops implementation skills
** PAYBACK is seeking a Machine Learning Engineer to join their Munich team, where the candidate will work on developing and operationalizing data-driven products using machine learning methodologies. The role requires strong experience in software engineering, particularly with Python and Google Cloud Platform, along with a good understanding of MLOps practices. **

Job Summary

  • You will actively design, develop, and deploy innovative data-driven products using Machine Learning methods in an agile interdisciplinary team.
  • The role involves owning the implementation and operationalization of ML models on Google Cloud Platform while ensuring robust production operations.
  • Benefits include free vegetarian or vegan meals, a 24/7 gym with covered costs, flexible working hours, and up to two days of home office per week.

Matching Summary

Match Score: 75

** PAYBACK is seeking a Machine Learning Engineer to join their Munich team, where the candidate will work on developing and operationalizing data-driven products using machine learning methodologies. The role requires strong experience in software engineering, particularly with Python and Google Cloud Platform, along with a good understanding of MLOps practices. **

Salary

Not specified; Not specified; Benefits: Tasty Breaks, Gym access, Deutschland-Ticket, Flexible hours, Home office

Skills & Requirements

Must-have

  • Python development experience
  • Google Cloud Platform (GCP) expertise
  • MLOps implementation skills
  • CI/CD pipeline for ML workloads
  • Java and SQL knowledge
  • Terraform infrastructure as code
  • BigQuery and Vertex AI usage

Nice-to-have

  • Proactive problem-solving approach
  • Fluent German language skills
  • Strong communication abilities
  • Experience with Data Engineering
  • Agile team collaboration

Key Requirements

  • Several years of professional experience in data product development
  • Software engineering background required
  • Deep understanding of ML model lifecycle management
  • Excellent English communication skills

Work Rights

Not specified

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