Mid/Senior AI LLM Engineer
戴维·肯尼迪招聘与一个开发人工智能驱动的对话产品公司合作，该公司正在寻求登录中/高级 AI LLM 工程师，并远程加入他们的团队。这项角色侧重于调整和改进自主托管的大语言模型，以推动个性化 AI 谈话。你将亲手使用开放权力模型，培训数据集，评估框架和基于 GPU 的培训，从实验到生产部署进行模型改进。职位：中/高级 AI LLM 工程師位置：欧洲，远程就业类型：B2B 参与 DUTIES AND RESPONSIBILITIES: ·培训和细节调整现有 AI 语言模型，以提高他们的对话能力 ·准备和改进培训数据集，帮助模型产生更精确，自然和一致的响应 ·开发测试方法来衡量模型质量并确定改善领域 ·提高交谈记忆力，个性一致性和长期对话 ·开发多语种交谈能力和涉及多个字符的互动 ·调查模型故障并优化培训数据，提示和响应筛选器 ·运行采用 GPU 的模型培训实验并解决技术问题 · 投入生产，监测其性能并继续完善它们 · 与人工智能工程，产品，网络开发和 DevOps 团队合作要求：·经验证实的实践经验在精细调整开放权重人工智能语言模型和部署到生产中 ·强大的 Python 编程技能 ·使用 Pytorch 和 Hugging Face 或可比较机器学习工具的实际经验 ·对监督精细调，LoRA 和 QLoRA 等模型培训技术的经验 ·熟悉基于偏好的培训技术如 DPO 或 GRPO 等 ·建立培训数据集和模型评估框架的经验 ·基于 GPU 的培训和调试实践经验 ·分析模型行为，解决问题并展示可测量的改进能力 ·与面向消费者的人工智能产品的工作经验 ·使用无审查的人工智力模型工作舒适性，明确成人/NSFW 内容和敏感度过量材料 益处：·在欧洲完全远程工作 ·长期合作，B2B 合同优先 ·20个工作日有薪假 ·100美元月薪医疗保险补贴 ·设备预算 ·访问人工智能开发工具 ·学习
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David Kennedy Recruitmentis working with a company developing AI-powered conversational products, that is seeking to onboard a Mid/Senior AI LLM Engineerto join their team remotely.
The role focuses on fine-tuning and improving self-hosted large language models that power personalised AI conversations. You will work hands-on with open-weight models, training datasets, evaluation frameworks and GPU-based training, taking model improvements from experimentation through to production deployment.
Position: Mid/Senior AI LLM Engineer
Location: Europe, Remote
Employment type: B2B engagement
DUTIES AND RESPONSIBILITIES:
- Train and fine-tune existing AI language models to improve their conversational abilities
- Prepare and improve training datasets to help models produce more accurate, natural and consistent responses
- Develop testing methods to measure model quality and identify areas for improvement
- Improve conversational memory, personality consistency and long-running dialogue
- Develop multilingual conversational capabilities and interactions involving multiple characters
- Investigate model failures and optimise training data, prompts and response filters
- Run model training experiments using GPUs and troubleshoot technical issues
- Deploy improved models into production, monitor their performance and continue refining them
- Collaborate with AI engineering, product, web development and DevOps teams
REQUIREMENTS:
- Proven hands-on experience fine-tuning open-weight AI language models and deploying them into production
- Strong Python programming skills
- Practical experience with PyTorch and Hugging Face or comparable machine-learning tools
- Experience with model training techniques such as supervised fine-tuning, LoRA and QLoRA
- Familiarity with preference-based training techniques such as DPO or GRPO
- Experience building training datasets and model evaluation frameworks
- Practical experience with GPU-based training and debugging
- Ability to analyse model behaviour, troubleshoot issues and demonstrate measurable improvements
- Experience working with consumer-facing AI products
- Comfort working with uncensored AI models, explicit adult/NSFW content and sensitive moderation material
BENEFITS:
- Fully remote working within Europe
- Long-term collaboration, with B2B contracting preferred
- 20 working days of paid leave
- $100 monthly health insurance allowance
- Equipment budget
- Access to AI development tools
- Learning and development support
- Annual team gathering
- Opportunity to work on self-hosted LLMs powering consumer-facing AI products
- And many more!!!
Originally posted on Himalayas