Machine Learning Infrastructure Engineer
2 months ago
Job Description
Machine Learning Infrastructure Engineer - DeepSpeed, HPC Clusters, Quantization, Parallelism
Based in London, UK
Our client are building LLMs to evaluate AI models. They have secured $5m seed funding, and are ready for rapid growth. They are building an exceptional engineering team, and you could be part of it
Role
- As their Machine Learning Infrastructure Engineer, you’ll develop the framework allowing for rapid training and experimentation of large language models.
Responsibilities
- Develop the core inference engine serve large machine learning models at scale and across distributed systems.
- Enable high throughput training runs achieving top hardware efficiency optimisation.
Qualifications
- Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.
- Proficiency in efficient serving of large machine learning models at scale, including quantisation, parallelism, distributed computing (E.g. deepspeed, megatron, ray)
Apply via LinkedIn, or share your CV to me: ab@eu-recruit.com
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