ML Engineer

The ML & AI team at EPAM drives the design, training, and deployment of advanced deep learning models.

• Design, implement, and iterate on neural network architectures using PyTorch to achieve optimal performance on diverse tasks;
• Train, validate, and fine-tune machine learning models using relevant datasets to ensure high accuracy and robustness;
• Investigate and troubleshoot model performance issues, and iterate on models and techniques to continuously improve results;
• Analyze how models map onto the client's devices through compilation steps and kernels;
• Identify gaps in functionality and performance, and propose innovative solutions to mitigate any issues;
• Deploy neural networks for various applications across different environments;
• Apply machine learning fundamentals to ensure effective supervised and unsupervised learning outcomes.

• 3+ Years of experience in Python programming, with hands-on expertise in PyTorch for developing and training deep learning models;
• Proficiency in designing, training, and deploying neural networks for various applications;
• Understanding of machine learning fundamentals, including supervised and unsupervised learning techniques;
• Expertise in troubleshooting and optimizing model performance across diverse tasks and datasets;
• English proficiency at B2 level or higher;
• Nice to have: Familiarity with C++ and kernel programming, Knowledge of GPU/AI-accelerator architectures.

• No conditions specified