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OMOMMAX

(Senior) MLOps Engineer(m/w/x)

München
Full-timeWith Home OfficeExperienced
AI/ML
Apply now

Deploying production-grade ML systems and infrastructure on cloud platforms. 3-6 years MLOps experience with Python and ML frameworks required. Participation in sales success, exclusive investment opportunities.

Requirements

  • Degree in Computer Science, Software Engineering, Data Science, or related field
  • 3–6 years of experience in MLOps, DevOps, or machine learning engineering
  • Hands-on experience operationalising machine learning models using TensorFlow, PyTorch, or Scikit-learn
  • Strong programming skills in Python and solid understanding of software engineering best practices
  • Experience with cloud platforms and infrastructure (AWS, Azure, GCP)
  • Familiarity with containerisation and orchestration tools (Docker, Kubernetes)
  • Fluent in English; additional local language skills are a plus

Tasks

  • Build and deploy production-grade ML systems
  • Build and deploy ML tools
  • Build and deploy ML infrastructure
  • Design scalable pipelines for model deployment
  • Implement scalable pipelines for model deployment
  • Design scalable pipelines for model monitoring
  • Implement scalable pipelines for model monitoring
  • Design scalable pipelines for model lifecycle management
  • Implement scalable pipelines for model lifecycle management
  • Collaborate with data scientists
  • Collaborate with AI engineers
  • Collaborate with software engineers
  • Ensure reliability of ML systems
  • Ensure scalability of ML systems
  • Ensure performance of ML systems
  • Contribute reusable solutions
  • Contribute reusable standards
  • Act as a technical advisor
  • Support stakeholders in translating ML concepts
  • Support stakeholders in creating practical solutions

Work Experience

  • 3 - 6 years

Education

  • Bachelor's degree

Languages

  • English – Fluent
  • local – Basic

Tools & Technologies

  • MLOps
  • DevOps
  • machine learning
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Python
  • AWS
  • Azure
  • GCP
  • Docker
  • Kubernetes

Benefits

Bonuses & Incentives

  • Participation in sales success

Corporate Discounts

  • Exclusive investment opportunities

Learning & Development

  • 'Digital Leaders of Tomorrow' program
  • Development opportunities

Flexible Working

  • Flexible and hybrid working model

Team Events

  • Team events

Healthcare & Fitness

  • Joint sports sessions
  • Fitness and wellness partnerships

Retirement Plans

  • Company pension scheme

Additional Allowances

  • Mobility allowances
  • Meal allowances
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of OMMAX and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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