Jr. Data Scientist Position

3 semanas atrás


Brazil beBeeMachineLearning Tempo inteiro

Job Description: We are looking for a talented individual to join our team as a Jr. ML Engineer. The successful candidate will be responsible for working with our partner to deliver great experiences to clients. The ideal candidate will have hands-on experience with deploying and debugging LLMs on GPUs for production, as well as experience in a developer-facing or technical support role. They will also have deep knowledge of how LLMs and related technologies/features work, and be proficient in Python and familiar with LLM ecosystems. Responsibilities: Guide new users through onboarding, setup, and best practices 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 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 Qualifications: 1+ years of 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 with our partner at the cutting edge of generative AI infrastructure and model serving Two weeks of paid vacation per year 10 paid days for local holidays Work Schedule: Rotating through Monday - Sunday, 6 AM - 6 PM PST Commitment: 180 hours per month ),



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