Found Description
Join Power Factors as a Senior AI / ML Engineer and contribute to renewable energy solutions. You'll be working on large language models using unique datasets to drive climate change initiatives.
In this pivotal role, you'll be part of the Innovation team, tackling advanced technical challenges. Your expertise in time-series modeling, distributed training, and architecture will be crucial as you develop foundational models from the ground up, enhancing business value alignment and model scaling.
Key Responsibilities:
• Own architecture decisions for time‑series models
• Design tokenisation strategies for multi‑modal training
• Optimize distributed training pipelines for GPU clusters
• Build reproducible training environments with full tracking
• Collaborate with backend engineers on data standards
Requirements:
• 5+ years of hands-on ML engineering experience
• Deep expertise in time-series data and modeling
• Proficient in Python and PyTorch or JAX
...
In this pivotal role, you'll be part of the Innovation team, tackling advanced technical challenges. Your expertise in time-series modeling, distributed training, and architecture will be crucial as you develop foundational models from the ground up, enhancing business value alignment and model scaling.
Key Responsibilities:
• Own architecture decisions for time‑series models
• Design tokenisation strategies for multi‑modal training
• Optimize distributed training pipelines for GPU clusters
• Build reproducible training environments with full tracking
• Collaborate with backend engineers on data standards
Requirements:
• 5+ years of hands-on ML engineering experience
• Deep expertise in time-series data and modeling
• Proficient in Python and PyTorch or JAX
...
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