AI Engineer – LLM Fine-Tuning, Azure (DRWN)
Job title – AI Engineer – LLM Fine-Tuning (Azure)
Client Location – Spain
Remote work offering – 100%
Contract Length – 12 months
Contract type – Freelance

Project focus
Own the end-to-end cloud fine-tuning of open-source LLMs on Azure – covering both Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT), from data preparation through training, evaluation, and deployment. The role involves working with sensitive data under strict internal access controls.

Key skills and Experience required
* 5+ years of engineering experience, including 2+ years hands-on LLM fine-tuning
* Strong Python and PyTorch
* Production experience with Azure Machine Learning and Azure AI Foundry (managed compute, serverless fine-tuning, online endpoints, GPU quotas)
* Hugging Face stack (transformers, peft, trl, datasets, accelerate); LoRA/QLoRA and bitsandbytes 4-bit quantization
* SFT delivery plus working knowledge of RL/preference methods (RFT, GRPO/PPO, DPO) and reward/grader design
* Training-data engineering: JSONL/chat formats, curation, deduplication, split hygiene, leakage prevention
* Evaluation rigor: task metrics, LLM-as-judge, and reading training/validation curves
* Linux, Git, containers, and cloud GPU workflows
* Preferred: DeepSpeed/multi-node training, quantization & serving (GGUF/llama.cpp, vLLM, Ollama), Azure OpenAI fine-tuning API, RAG/GraphRAG, infrastructure-as-code (Bicep/Terraform), and Responsible-AI practices

If this role is of interest, please apply with an updated CV.

Darwin Recruitment is acting as an Employment Business in relation to this vacancy.

Taylor Lewis