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ML Engineer (Remote)

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Abu Dhabi, UAE
Part Time
Mid
Remote
Today
Machine LearningPythonPyTorchTensorFlowModel TrainingModel Evaluation
Free

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Machine LearningPythonPyTorch
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Role Overview

  • We are hiring for one of our clients, seeking a MLE Bench – ML Engineers to work on a part time basis.
  • This role involves hands on work with production grade ML codebases, model training and evaluation pipelines, and deployment oriented workflows to help assess and improve the capabilities of advanced AI systems.

Key Responsibilities

  • Work with real world ML codebases to support MLE Bench–style evaluation tasks.
  • Build, run, and modify model training, evaluation, and inference pipelines.
  • Prepare datasets, features, and metrics for ML benchmarking and validation.
  • Debug, refactor, and improve production like ML systems for correctness and performance.
  • Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks.

Required Skills & Qualifications

  • Minimum 3+ years of overall experience as a machine learning engineer or software engineer (ML focused).
  • Strong proficiency in Python for machine learning and data workflows.
  • Hands on experience with model training, evaluation, and inference pipelines.
  • Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization).
  • Experience working with ML frameworks (e.g., PyTorch, TensorFlow).

More About the Opportunity

  • This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development and evaluation of frontier AI systems.
  • Candidates will collaborate with top AI researchers and engineers to design and solve challenging real world ML engineering tasks.

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