Senior ML Platform & MLOps Engineer

Waabi

United States

Hybrid

USD 157,000 - 234,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation and equity awards
Health and wellness benefits
Unlimited vacation
Flexible hours and work-from-home support
Daily drinks, snacks, and catered meals
Team building activities and social events

Job summary

Waabi, a leader in Physical AI, seeks a Machine Learning Operations Engineer to design and implement their machine learning platform. The position demands collaboration with data scientists and engineers to ensure continuous integration and optimization of model pipelines.

The ideal candidate will possess strong programming skills, especially in Python, and a grasp of machine learning frameworks like TensorFlow. This role offers a competitive salary and an inclusive work environment.

Qualifications

  • 3-5 years of experience supporting machine learning training platforms.
  • Strong understanding of model lifecycle management.
  • Experience managing technology infrastructure.

Responsibilities

  • Design and implement machine learning platform for continuous deployment.
  • Collaborate with data scientists to optimize pipeline processes.
  • Monitor and maintain model pipelines for optimal performance.

Skills

Machine learning principles
Python programming
Cloud platforms (AWS, Azure, Google Cloud)
Containerization (Kubernetes, Docker)
Monitoring tools

Education

Bachelor’s degree in Computer Science, Data Science, or related field

Tools

TensorFlow
PyTorch
JupyterHub
Kubeflow

Job description

Waabi, a leader in Physical AI, seeks a Machine Learning Operations Engineer to design and implement their machine learning platform. The position demands collaboration with data scientists and engineers to ensure continuous integration and optimization of model pipelines.

The ideal candidate will possess strong programming skills, especially in Python, and a grasp of machine learning frameworks like TensorFlow. This role offers a competitive salary and an inclusive work environment.

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