Senior / Staff Machine Learning Ops Engineer

waabi.ai

Remote
Remote
Mlops pipelines
Model lifecycle management
Python programming
Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models

Job Summary

  • Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.
  • Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.
  • Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.

Matching Summary

Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.

Skills & Requirements

Must-have

  • MLOps pipelines
  • model lifecycle management
  • Python programming
  • cloud platforms (AWS, Azure, GCP)
  • Kubernetes and Docker
  • CI/CD automation
  • Git version control
  • model performance monitoring

Nice-to-have

  • infrastructure-as-code
  • big data technologies
  • data engineering practices
  • A/B testing
  • model validation

Key Requirements

  • 3-5 years of experience in MLOps, DevOps
  • Bachelor’s degree in Computer Science, Data Science
  • Proficiency in TensorFlow or PyTorch
  • Experience with cloud ML services
  • Familiarity with containerization and orchestration
  • Knowledge of CI/CD and automation tools
  • Strong problem-solving skills
  • Ability to work collaboratively

Work Rights

Not specified

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