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описание
The company recruits ML Engineers for client projects focused on assessing and improving advanced AI systems through production-grade machine learning workflows.
задачи
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.
требования
Have 3+ years of overall experience as a machine learning engineer or software engineer with an ML focus;
Demonstrate strong proficiency in Python for machine learning and data workflows;
Have hands-on experience with model training, evaluation, and inference pipelines;
Understand machine learning fundamentals, including supervised and unsupervised learning, evaluation metrics, and optimization;
Have experience working with ML frameworks such as PyTorch or TensorFlow.