ml engineer for AI systems
генерация резюме под вакансию
сопроводительное письмо
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.
условия
- Part-time employment;
- Competitive payout based on experience.
навыки
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