Senior / Staff Machine Learning Ops Engineer

Waabi

Remote
Remote
Mlops pipelines
Automate training and deployment
Monitor and maintain pipelines
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
  • automate training and deployment
  • monitor and maintain pipelines
  • optimize for scalability
  • Python, TensorFlow or PyTorch
  • cloud platforms (AWS, Azure, GCP)
  • Kubernetes and Docker
  • CI/CD and Git

Nice-to-have

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

Key Requirements

  • 3-5 years of experience in MLOps, DevOps
  • Bachelor’s degree in Computer Science, Data Science
  • Strong understanding of machine learning principles
  • Experience with monitoring tools

Work Rights

Not specified

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