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Job Title: Machine Learning Specialist Job Description: We are seeking a talented Machine Learning Specialist to join our team. The ideal candidate will have hands-on experience with deploying and debugging Large Language Models (LLMs) on Graphics Processing Units (GPUs) for production. This role involves guiding new users through onboarding, setup, and best practices. Key Responsibilities: Document technical learnings, common patterns, and solutions derived from real customer interactions Transform lessons learned into clear, actionable knowledge for both internal teams and external users Create and maintain documentation, tutorials, and sample projects Provide technical support via Slack, email, and meetings, helping users troubleshoot and resolve issues quickly Collaborate with engineering to debug production issues and prioritize fixes Help users architect scalable and efficient deployments using FriendliAI Lead customer-facing technical sessions, demos, and Q&As Required Skills and Qualifications: 1+ years of hands-on experience with deploying & debugging LLMs on GPUs for production 1+ years in a developer-facing or technical support role (Customer Success, Solutions Engineering, etc.) Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent Deep knowledge of how LLMs and related technologies/features work Familiarity with Kubernetes and cloud infrastructure Excellent written and verbal communication skills Proficient in Python and familiar with LLM ecosystems (e.g., Hugging Face, LangChain) Experience working with APIs, CLI tools, and deployment workflows Ability to explain complex technical concepts clearly and concisely Benefits: A fully remote position with a structured schedule that supports work-life balance The opportunity to work at the cutting edge of generative AI infrastructure and model serving Two weeks of paid vacation per year 10 paid days for local holidays

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