Job Description
The role involves building and optimizing scalable machine learning infrastructure to enhance energy market solutions, focusing on high-performance training, inference, and evaluation of large-scale datasets related to energy and weather.
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
- The candidate must have solid expertise in machine learning.
- The candidate must have expertise in distributed systems.
- The candidate must have expertise in GPU-based training.
- The candidate must have strong deep learning fundamentals.
- The candidate must have strong software engineering skills.
Benefits & Perks
Ready to Apply?
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