Lead AI Engineer with Machine Learning

EPAM Systems is seeking a Lead AI Engineer to join a cutting-edge team building computers designed specifically for AI. The role involves designing and implementing neural network architectures, training machine learning models, and collaborating with cross-functional teams to enhance AI solutions.

Responsibilities:

• 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, iterating on models and techniques to continuously improve results
• Analyze how models map onto Tenstorrent devices through compilation steps and kernels
• Identify gaps in functionality and performance, proposing innovative solutions to mitigate any issues
• Collaborate with cross-functional teams working on compilers, neural networks, LLMs, and CNNs
• Deploy neural networks for various applications, ensuring scalability and reliability

Requirements:

• 5+ years of experience in machine learning and AI engineering
• At least 1 year of relevant leadership experience
• Proficiency in Python programming with hands-on experience in PyTorch for developing and training deep learning models
• Expertise in designing, training, and deploying neural networks for various applications
• Understanding of machine learning fundamentals, including supervised and unsupervised learning techniques
• Background in investigating and troubleshooting model performance issues
• Capability to map models onto specialized AI hardware through compilation steps and kernels
• Strong English communication skills (B2 level or higher)
• Experience with C++ and kernel programming
• Knowledge of GPU/AI-accelerator architectures