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Senior Model Architect
4 weeks ago
This role reports to the CTO
Working hours: 9am - 530pm
Job Scopes:
- Drive the implementation and refinement of distributed training strategies across multi-GPU and multi-node environments.
- Apply advanced optimization algorithms and their variants (e.g., SGD, Adam, Adagrad) to accelerate learning processes while maintaining model accuracy.
- Lead initiatives in model compression, pruning, and quantization techniques to reduce model footprint and enhance computational efficiency.
- Innovate in knowledge distillation methodologies to transfer learning from larger teacher models to more efficient student models.
- Optimize micro-tuning strategies, such as prompt-based tuning or parameter-efficient tuning methods, to minimize resource requirements.
- Explore and implement mixed precision training and hardware-specific optimizations (e.g., CUDA, Tensor Cores) to leverage hardware acceleration fully.
- Manage hyperparameter tuning processes using automated tools and algorithms to achieve optimal model configurations.
- Lead and collaborate with cross-functional teams to apply large model technology in practical business scenarios. Collaborate with researchers and engineers to integrate state-of-the-art research into production-ready systems.
- Design and optimize large language models, devise fine-tuning strategies, and streamline the training process.
- Explore deep learning architectures like Seq2Seq, Transformer, and advanced techniques including Fine-tuning, Prompt Engineering, and Soft Prompting (SFT).
- Develop systems for efficient model training and deployment, involving data preprocessing, parallel training, and resource management.
- Establish performance evaluation systems and monitor training metrics to ensure model quality and iteration efficiency.
Job Requirements:
- Bachelor degree or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields.
- At least 5 years of experience in AI, with 3 years focused on large-scale language model development and optimization, preferably with successful projects.
- Proficient in deep learning theories, experienced with PyTorch, TensorFlow, and skilled in model fine-tuning and SFT.Strong algorithm design and optimization skills, familiar with large-scale data processing and high-performance computing.
- Demonstrated leadership, teamwork, communication, and project management skills, with the ability to track international research trends and innovate.
Tell employers what skills you have
TensorFlow
Compression
Revit
Management Skills
Leadership
BIM
Mathematics
Artificial Intelligence
3D
Tuning
PyTorch
Project Management
CUDA
Algorithm Design
Resource Management
Systems Design
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