Job Description
The role involves building and optimizing scalable machine learning infrastructure to support training, inference, and evaluation of models, primarily focusing on large-scale time-series and weather datasets, to accelerate the clean energy transition.
Key Responsibilities
- Build and optimize the infrastructure of the ML platform for training, inference, and evaluation
- Design scalable, high-performance systems for large-scale time-series and weather datasets
- Push the boundaries of throughput and efficiency in GPU-based training and machine learning workflows
Requirements
- Strong deep learning fundamentals
- Strong software engineering skills
- Solid expertise in machine learning
- Solid expertise in distributed systems
- Solid expertise in GPU-based training
- Experience designing scalable, high-performance infrastructure for training, inference, and evaluation
- Ability to push the boundaries of throughput and efficiency on large-scale time-series and weather datasets
Benefits & Perks
Ready to Apply?
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