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Large Language Model Architect
3 weeks ago
Large Language Model Engineer
About the RoleThis is a challenging opportunity for an experienced engineer to join our team in building and deploying large language models. The successful candidate will be responsible for designing, implementing and optimizing model architectures, as well as ensuring seamless integration into production environments.
Key Responsibilities- Design and implement scalable architectures for pre-training, post-training and fine-tuning LLMs on distributed GPU clusters.
- Perform pre-training and post-training of LLMs.
- Develop and optimize custom evaluation metrics and pipelines to assess LLM performance across various tasks.
- Utilize SLURM for efficient job scheduling and resource management in high-performance computing environments.
- Leverage AI frameworks such as PyTorch and DeepSpeed to build and train state-of-the-art LLMs.
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics or a related field.
- Proficiency in Python and deep learning frameworks, particularly PyTorch.
- Experience with distributed training using SLURM and multi-GPU setups.
- Experience in fine-tuning and evaluating large-scale language models.
- Understanding of machine learning principles and best practices.
- Excellent problem-solving skills and ability to work in a collaborative environment.
- Familiarity with cloud-based machine learning platforms and infrastructure.
We offer a dynamic and innovative work environment, opportunities for professional growth and development, as well as a competitive salary and benefits package.
All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance.
Please note that as part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.