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Senior AI Model Architect
2 weeks ago
Highlights:
- High remuneration package
- Hybrid Role
- Flexible working hours
- Supportive environment for Collaboration and Career Growth
- Willingness to provide visa sponsorship for the right candidate
Job Responsibilities:
- Lead the development and optimization of distributed training techniques across multi-GPU and multi-node environments, implementing advanced optimization algorithms (e.g., SGD, Adam, Adagrad) to accelerate learning while maintaining model accuracy.
- Drive model compression, pruning, quantization, and knowledge distillation efforts to reduce model size, improve computational efficiency, and 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, implement mixed-precision training, and leverage hardware-specific optimizations (e.g., CUDA, Tensor Cores) to minimize resource usage and maximize hardware acceleration.
- Oversee hyperparameter tuning using automated tools and algorithms to achieve optimal model configurations, and collaborate with cross-functional teams to apply large model technology in practical business scenarios, integrating cutting-edge research into production-ready systems.
- Design and optimize large language models, devise fine-tuning strategies, streamline the training process, explore and implement deep learning architectures (e.g., Seq2Seq, Transformer), advanced techniques (e.g., Fine-tuning, Prompt Engineering, Soft Prompting), develop efficient model training and deployment systems, and establish performance evaluation systems to monitor training metrics and ensure model quality and efficiency.
Job Requirements:
- Possession of a Bachelor's degree or higher academic qualification in the fields of Computer Science, Artificial Intelligence, Mathematics, or a related field, with over 5 years of experience in AI, including 3 years in large-scale language model development and optimization.
- Proficient in deep learning, skilled with PyTorch and TensorFlow, and experienced in algorithm design, large-scale data processing, and high-performance computing.
- Demonstrate strong leadership, teamwork, communication, and project management skills, with the ability to monitor international research trends and drive innovation.
Interested applicants, please Click on the Apply NOW or send your latest CV to
EA Reg No: R1878033
EA License No: 21C0434
We regret to inform you that only shortlisted applicants will be contacted.
Tell employers what skills you haveTensorFlow
Microsoft Excel
Hardware
BIM
Architect
Mathematics
Artificial Intelligence
Tuning
PyTorch
Project Management
CUDA
Algorithm Design
Statistics
Systems Design
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