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Senior Machine Learning Infrastructure Architect
2 months ago
We are seeking a highly skilled Senior Machine Learning Infrastructure Architect to join our European Tech Recruit team. As a key member of our AI Innovation Team, you will play a crucial role in developing a robust framework for rapid training and experimentation of large language models.
Key Responsibilities- Architect an internal platform to facilitate high-throughput inference of large language models.
- Develop the core inference engine to seamlessly deploy large machine learning models to customers at scale and across distributed systems.
- Contribute significantly to the automated pipeline, optimizing for high throughput training runs and rapid experimentation while achieving top hardware efficiency.
- Minimum of 2-3 years of professional experience in a similar capacity.
- Exceptional ML engineering skills, with 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 quantization and distributed computing, leveraging libraries such as deepspeed.
- Strong software engineering acumen with expertise in software design/architecture, particularly in Python.
- Understanding of the latest AI research and ability to efficiently implement these systems.
- Prior experience at a leading machine learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.).
- Experience as an early engineer at a fast-growing startup.
- Interest in and consideration of the impacts of AI technology.
- Visa sponsorship and relocation support.
- Opportunity to work with a leading AI Innovation Team.
