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Baasi is a stealth-mode startup building next-generation infrastructure for the AI industry. They are seeking an ML Engineer to help design and implement AI pipelines, focusing on productizing and automating fine-tuning techniques for vendors.

Responsibilities:

Implement and maintain LoRA/QLoRA fine-tuning pipelines using PyTorch + Hugging Face Transformers + PEFT
Develop logic for incremental training and adapter stacking, producing clean, versioned “delta packs.”
Automate data preprocessing (tokenization, formatting, filtering) for user-supplied datasets
Build training scripts/workflows that integrate with orchestration backends (Node.js, REST/gRPC, or job queues)
Implement monitoring hooks (loss curves, checkpoints, eval metrics) to feed into dashboards
Collaborate with DevOps to ensure reproducible, portable training environments
Write tests to guarantee reproducibility and correctness of adapter outputs
Willingness to occasionally be present in the office for discussions and team collaboration

Baasi

Open Positions (1)

Engineering

ML Engineer - Austin, TX