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Machine Learning Engineer

Data Remote (Worldwide) Contract

We are seeking a Machine Learning Engineer to build, evaluate, and deploy classification and prediction models. You will clean datasets, deploy API inference containers, train model configurations, and set up evaluation metrics.

What you'll do

  • Train and fine-tune models on structured text, numerical, or image data.
  • Deploy ML inference engines inside cloud-native API containers.
  • Build dataset preprocessing libraries and data validation tests.
  • Monitor model drift and retrain pipelines as new data is logged.

What we're looking for

  • 3+ years professional machine learning engineering experience.
  • Strong expertise in Python, PyTorch, Scikit-Learn, and Docker tools.
  • Familiarity with training architectures, optimization, and metrics.

Benefits & Perks

  • Remote setup with flexible scheduling.
  • Compute resource allowance.
  • Research allowance.
  • Workspace and tooling budget.

Ready to apply?

Takes about 5 minutes. We review every application personally.

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