Intermediate Backend Engineer, AI Powered: ModelOps

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