Industry: Energy
Location: CDB
- Implement distributed training strategies across diverse hardware environments, utilizing advanced optimization algorithms to enhance learning speed while preserving model accuracy.
- Lead efforts in model efficiency by applying techniques such as compression, pruning, and quantization. Innovate methods to distill knowledge from complex models to more streamlined ones effectively.
- Optimize resource usage with micro-tuning strategies and leverage hardware-specific optimizations for efficient model training and performance improvement.
- Collaborate across teams to integrate cutting-edge technologies into practical applications, focusing on designing and refining models and streamlining training processes.
- Develop robust systems for model deployment and evaluation, including data preprocessing and parallel training setups, ensuring high-quality outcomes and efficient iteration.
Requirements
- Bachelor's degree or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields.
- Minimum 5 years of AI experience, including 3 or more years specializing in large-scale language model development and optimization, ideally with successful projects.
- Proficiency in deep learning theories, PyTorch, TensorFlow, etc., and expertise in model fine-tuning and SFT.
- Experience in leading and/or mentoring team is a must.
- Strong skills in algorithm design, optimization, large-scale data processing, and high-performance computing, coupled with leadership, teamwork, communication, and project management abilities.
Benefits
Health insurance + VISA Sponsorship
