Wizard AI

Senior MLOps Engineer

Wizard AI

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $185,000 - $210,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

  • Design, build and maintain infrastructure for deploying, monitoring and updating machine learning models at scale
  • Automate end to end model pipelines from ingestion and preprocessing to training, validation and deployment
  • Implement monitoring for model performance, accuracy, drift and latency
  • Ensure ML systems are secure, cost efficient and scalable in production
  • Document and continuously improve ML infrastructure, workflows and tooling
  • Partner with ML engineers, scientists and product to move models seamlessly from research to production
  • Apply software engineering best practices (testing, CI/CD, version control) to ML systems

Requirements

  • 5+ years of experience in ML Ops including ownership of production ML systems
  • Bachelor’s or Master’s in Computer Science or a related field
  • Strong expertise in Python and ML/DS libraries (e.g. TensorFlow, PyTorch)
  • Experience with machine learning lifecycle management tools
  • Hands on experience deploying and monitoring deep learning models
  • Strong knowledge of cloud platforms such as AWS, Azure, or GCP
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