machine learning engineer
генерация резюме под вакансию
сопроводительное письмо
описание
The company hires for a client developing AI-driven product solutions that enhance user experience and operational efficiency.
задачи
- Design, train, and optimize machine learning models using Python, TensorFlow, and PyTorch;
- Develop and maintain data pipelines for high-quality model training and evaluation inputs;
- Implement MLOps practices for model deployment, monitoring, and version control;
- Collaborate with data scientists and software engineers to integrate AI capabilities into production systems;
- Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.
требования
- Proficiency in Python, TensorFlow, and PyTorch for model development and training;
- Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker for deployment and monitoring;
- Strong background in data preprocessing, feature engineering, and model evaluation metrics;
- Familiarity with cloud platforms such as AWS, GCP, or Azure for scalable AI infrastructure;
- Knowledge of software engineering best practices, including Git and CI/CD pipelines.
условия
- No conditions specified
навыки
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