Senior Machine Learning Engineer (Foz)
Role details
Job location
Tech stack
Job description
Mid/Senior LLM Engineer - Barcelona/Madrid/Zaragoza/San SebastianAsegúrese de presentar su candidatura con toda la información solicitada, tal como se expone en la descripción del puesto a continuación.Our client is Europe's largest software companys With over 200+ team members worldwide, they deliver hyper-efficient AI that powers industries from finance to energy to manufacturing.They're looking for a Mid/Senior LLM Engineer to join our growing AI team. You'll work alongside world-leading experts on groundbreaking projects.What You'll DoDesign and develop new methods for compressing and optimizing LLMsFine-tune and benchmark models for accuracy, robustness, and efficiencyWork with cross-functional teams to integrate LLMs into real-world productsGuide and mentor junior engineers in LLM developmentStay at the cutting edge of research in AI, LLMs, and quantum-inspired computingWhat We're Looking ForMSc/PhD in AI, Computer Science, Data Science, or related field2+ years (Mid) or 5+ years (Senior) hands-on experience training or fine-tuning Transformer/LLM modelsStrong expertise in PyTorch, xkdbapo HuggingFace, and GPU computingExperience with cloud (AWS/GCP/Azure) and containerization (Docker)Excellent problem-solving, documentation, and communication skillsFluent in EnglishBonus: Experience with model compression, RAG systems, HPC, TensorRT, vLLM, or DevOps/MLOps.#J-*****-Ljbffr
Requirements
MSc/PhD in AI, Computer Science, Data Science, or related field 2+ years (Mid) or 5+ years (Senior) hands-on experience training or fine-tuning Transformer/LLM models Strong expertise in PyTorch, xkdbapo HuggingFace, and GPU computing Experience with cloud (AWS/GCP/Azure) and containerization (Docker) Excellent problem-solving, documentation, and communication skills Fluent in English Bonus: Experience with model compression, RAG systems, HPC, TensorRT, vLLM, or DevOps/MLOps. #J-*****-Ljbffr