Job Description
The role involves building and optimizing scalable machine learning infrastructure to support training, inference, and evaluation on large-scale datasets, with a focus on accelerating the clean energy transition through data-driven solutions.
Key Responsibilities
- Build and optimize the infrastructure of the ML platform for training, inference, and evaluation.
- Design scalable, high-performance systems for processing large-scale time-series and weather datasets.
- Enhance throughput and efficiency of machine learning workflows on distributed and GPU-based systems.
Requirements
- The candidate must have solid expertise in machine learning.
- The candidate must have strong expertise in distributed systems.
- The candidate must have GPU-based training experience.
- The candidate must have the ability to design scalable, high-performance infrastructure for training, inference, and evaluation.
- The candidate must have strong deep learning fundamentals.
- The candidate must have strong software engineering skills.
Benefits & Perks
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