Lead AI Engineer with Machine Learning
Indexed description
Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.
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
- 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
- We connect like-minded people
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- We invest in your growth
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to EPAM's internal learning database
- Free English classes with certified teachers
- We cover it all
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Five trust days per year (sick leave without a medical certificate)
- Benefits package (sports activities, a variety of stores and services)
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