ML Engineer — LLM Fine-tuning

Responsibilities: — Build training datasets from real conversations and operational data — Run fine-tuning jobs and compare tuned vs base models — Build evals that decide which model goes to production — Turn agent failures into better training data Requirements: — 3+ years in ML / NLP — Strong Python skills — Hands-on experience with LLM fine-tuning using Vertex AI, OpenAI, or LoRA/SFT on open models — Prompt engineering expertise — Experience with evals and dataset preparation — Good English proficiency Nice to have: — Experience with PyTorch, Hugging Face, Google Cloud — Experience with speech data — Knowledge of Uzbek or Russian languages Benefits: — Salary from $2,000 — Office location in Tashkent Applications without a CV will not be considered. To apply, send your CV to hr@gl-solutions.com with the email subject "ML Engineer — LLM Fine-tuning".