AI Pipeline Engineer: LoRA Fine-Tuning in Production
Listed on 2026-10-17
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Optime is building next-generation AI infrastructure and seeks an AI/ML Engineer (Python) to productize fine-tuning techniques (LoRA/QLoRA) for vendors.
You will design training pipelines using PyTorch and the Hugging Face ecosystem, automate data preprocessing, and integrate with Node.js backends and job queues.
This role emphasizes reproducible training environments, testing adapter outputs, and occasional in-office collaboration.
Are you ready to take on the AI Pipeline Engineer:
LoRA Fine-Tuning in Production role at Optime?
If your experience matches this role, we encourage you to apply.
All applications are reviewed carefully by our team.
The position is based in Austin, TX, United States.
This opportunity is part of our work in IT & Technology.
The advertised compensation is 140..
We aim to respond to suitable candidates as soon as possible.
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