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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Intermediate Backend Engineer, AI Powered: ModelOps

AI Summary ✨

Requirements

  • Professional experience with Ruby on Rails
  • Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, or similar)
  • Solid understanding of machine learning concepts and workflows
  • Familiarity with containerization (Docker) and orchestration (Kubernetes) technologies
  • Proficiency in the English language, both written and verbal

Nice to Haves

  • Experience with Python ML libraries (scikit-learn, TensorFlow, PyTorch) as a plus
  • Professional Python or Golang experience

What You'll Be Doing

  • Develop and maintain CI/CD pipelines for ML model deployment in Ruby environments
  • Implement and optimize data processing pipelines using Ruby and relevant frameworks
  • Collaborate with data scientists to productionize ML models efficiently
  • Design and implement monitoring and alerting systems for ML model performance
  • Ensure scalability, reliability, and efficiency of ML systems in production
  • Contribute to the development of internal MLOps tools and libraries in Ruby
  • Develop features and improvements to the GitLab product
  • Collaborate with Product Management and other stakeholders within Engineering

Perks and Benefits

  • Benefits to support your health, finances, and well-being
  • All remote, asynchronous work environment
  • Flexible Paid Time Off
  • Equity Compensation & Employee Stock Purchase Plan
  • Growth and development budget
  • Parental leave
  • Home office support
Apply here
GitLab logo

GitLab

Remote EMEA

Experience: Mid-level
Posted: October 4, 2024
Docker
Git
Golang
Kubernetes
Python
Swift
machinelearning

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