ML Engineer
Posted on:
October 13, 2026
Arbitr
- 6+ years of experience in machine learning, including hands-on work from before the current LLM wave (NLP, deep learning, or predictive modeling)
- Strong proficiency in Python, with deep experience in PyTorch and the Hugging Face ecosystem
- Proven experience fine-tuning open-source language models (Llama, Qwen, Phi, Gemma, Mistral) and taking at least one to production
- Hands-on experience with SFT, LoRA/QLoRA, DPO, or distillation techniques
- Solid understanding of model evaluation, including building benchmarks, choosing metrics, and reading results critically
- Experience with model optimization and serving (quantization, vLLM, TGI, or llama.cpp)
- Experience building classic ML models for scoring, classification, or risk decisions
- Experience with cloud GPU infrastructure on AWS or GCP
- Self-managed and comfortable working in remote, async environments
- Nice to have: Master’s or PhD in ML, Computer Science, Math, or a related field; experience with pretraining or large distributed training jobs
- Nice to have: background in fintech, lending, insurance, or other decision-driven domains; experience deploying models on-prem or on edge devices
- English proficiency (B2 or higher)
CV Submitted!
Thank you for taking the time to apply, your journey with us starts here. Our team will carefully review your experience and reach out shortly to discuss the next steps. 🚀
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