machine learning engineer
генерация резюме под вакансию
сопроводительное письмо
описание
The company provides software development services and data infrastructure solutions, focusing on the advancement of AI-driven product features and scalable technical systems.
задачи
- Design, train, and optimize machine learning models using Python, TensorFlow, and PyTorch;
- Develop and maintain data pipelines for model training and evaluation;
- Implement MLOps practices for model deployment, monitoring, and version control;
- Integrate AI capabilities into production systems in collaboration with data scientists and software engineers;
- Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.
требования
- Proficiency in Python, TensorFlow, and PyTorch;
- Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker;
- Strong background in data preprocessing, feature engineering, and model evaluation metrics;
- Familiarity with cloud platforms like AWS, GCP, or Azure;
- Knowledge of software engineering best practices including Git and CI/CD pipelines.
условия
- $200K - $500K per year.
навыки
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