Lead AI Engineer – Machine Learning

About the role

We are looking for a Lead AI Engineer to drive the design and deployment of cutting‑edge neural network solutions on specialized AI hardware. You will join a multidisciplinary team that combines expertise in computer architecture, ASIC design, compilers, and neural network compilers to build the next generation of AI‑focused computers.

Key responsibilities

• Design, implement, and iterate on neural network architectures using PyTorch to meet performance targets.
• Train, validate, and fine‑tune machine‑learning models on diverse datasets, ensuring high accuracy and robustness.
• Investigate and resolve model performance issues, continuously improving results.
• Analyze model mapping onto Tenstorrent devices through compilation steps and kernel optimization.
• Identify functional and performance gaps, proposing innovative solutions.
• Collaborate with cross‑functional teams working on compilers, LLMs, and CNNs.
• Deploy neural networks for various applications, guaranteeing scalability and reliability.

Required profile

• 5+ years of experience in machine learning and AI engineering.
• At least 1 year of leadership or lead‑developer experience.
• Strong English communication skills (B2 level or higher).

Required skills

• Proficiency in Python programming.
• Hands‑on experience with PyTorch for deep‑learning model development.
• Experience with C++ and kernel programming (nice to have).
• Knowledge of GPU/AI‑accelerator architectures.

What we offer

• Fully remote work from anywhere in Georgia (home, office in Tbilisi or Batumi, or coworking in Kutaisi).
• Opportunities to work abroad up to two months per year.
• Leadership development, career advising, soft‑skill and well‑being programs.
• Access to certifications (GCP, Azure, AWS) and EPAM’s internal learning platform.
• Employee Stock Purchase Plan, referral bonuses, comprehensive medical & family care.
• Free English classes, sports activities, and other employee benefits.