ML / LLM Engineer (NLP / AI)

Навыки

• AWS
• CUDA / ONNX / TensorRT
• Docker
• FastAPI
• Дообучение моделей
• Git
• Grafana

Задачи

• Fine-tune and optimize large language models
• Build and maintain end-to-end ML pipelines (data → training → deployment)
• Optimize inference and model serving
• Monitor model metrics and performance in production
• Collaborate with PMs and engineering teams
• Web Design Sun (Spain)
• Project: Text AI Humanizer for the North American market — an AI product focused on advanced text transformation and human-like language generation
• Job Description
• The company is looking for an ML/LLM Engineer to take ownership of LLM fine-tuning and deployment
• You’ll work across the full ML lifecycle — from datasets and training to production inference and monitoring — in close collaboration with the product and engineering teams

Требования

• 3+ years of experience in ML / LLM / NLP
• Experience building full training pipelines end-to-end
• Strong skills in model optimization and quantization
• Python, PyTorch
• Experience with Grafana, Prometheus
• Git, AWS (SageMaker & core services), RunPod
• English C1+, Ukrainian/Russian C1 or native
• Residence outside Russia, Belarus, and Ukraine

Будет плюсом

• Hugging Face ecosystem, LoRA / QLoRA
• CUDA 12.x, vLLM / Triton
• FastAPI, Docker, Kubernetes
• Vector databases and RAG pipelines
• Location: Remote (Full-time)
• Contact: @idigorice
• Please forward the job posting when applying

Условия

• Salary: $3,500–$4,500

Паспорт вакансии

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