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PRPrior Labs

MLOps / ML Systems Engineer(m/w/x)

Berlin, Freiburg im Breisgau
Full-timeOn-siteSenior
AI/ML
Data Science

Managing and optimizing cloud GPU clusters for structured data foundation models at AI research firm. Expert-level Python proficiency and complex scalable software design experience required. Meaningful equity, 30 days paid vacation.

Requirements

  • Exceptional software engineering fundamentals
  • Expert-level Python proficiency
  • 5+ years industry experience
  • Experience designing complex scalable software
  • Practical knowledge of ML ecosystem
  • Interest in systems thinking for AI
  • Understanding of machine learning lifecycle
  • Familiarity with MLOps principles

Tasks

  • Manage and optimize cloud GPU clusters
  • Ensure cluster reliability and cost performance
  • Design scalable multi-cloud compute infrastructure
  • Resolve performance bottlenecks in distributed training
  • Improve hardware utilization and memory efficiency
  • Perform systems-level debugging and profiling
  • Maintain GitHub repositories and CI pipelines
  • Manage experiment tracking and model registries
  • Oversee data processing pipeline operations
  • Develop and train novel tabular architectures

Work Experience

  • 5 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch
  • scikit-learn

Benefits

Competitive Pay

  • Competitive compensation package

Other Benefits

  • Meaningful equity
  • Public holidays

More Vacation Days

  • 30 days paid vacation

Healthcare & Fitness

  • Healthcare benefits
  • Fitness benefits

Parking & Commuter Benefits

  • Transportation benefits

Modern Equipment

  • State-of-the-art ML architecture
  • Substantial compute resources

Informal Culture

  • World-class team
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Prior Labs 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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