NLP全栈Python/React开发工程师
NLP Fullstack Python/React Developer
职位：具有NLP知识的高级全栈工程师，专注于定制GPT
客户：一家制药公司
项目描述：客户旨在利用AI自动化与组织、比较和填写供应商审计报告相关的重复性、研究密集型任务。这将减少目前所需的手动工作量。
技术栈：
Python和FastAPI用于后端开发，以及设计和实现后端架构的经验。对于前端，需要对Next.js和React有基本的了解。其他关键技术包括
Socket.IO用于实时应用，Azure用于云基础设施，并偏好使用Pulumi进行基础设施即代码（IaC）。此外，熟悉大语言模型（LLMs）、ETL流水线和NoSQL数据库是有优势的。
团队结构：该职位涉及与跨职能团队合作，包括后端、前端和产品团队。
英语：需达到B2/C1级别。
附加信息：该职位需要100%的全职投入。理想的候选人应具备DevOps原则的经验，MLOps经验是加分项。还需要良好的沟通能力，能够向业务和技术受众展示技术概念。
最初发布于Himalayas
查看英文原文
Role:Senior Full-Stack Engineer with NLP Know-How for custom GPT
Client: A pharma client
Project description: The client aims to use AI to automate repetitive, research-intensive tasks related to organizing, comparing, and filling out audit reports for their vendors. This will help reduce the manual effort currently required.
Stack:
Python and FastAPI for backend development, along with experience in designing and implementing backend architectures. For the frontend, a basic understanding of
Next.js and React is needed. Other key technologies include
Socket.IO for real-time applications, Azure for cloud infrastructure, and a preference for Pulumi for Infrastructure as Code (IaC). Additionally, familiarity with LLMs, ETL pipelines, and NoSQL databases is advantageous.
Team structure: The role involves collaborating with cross-functional teams, including backend, frontend, and product teams.
English: Proficiency at B2/C1 level.
Add. Info: The role requires a full-time commitment of 100%. The ideal candidate should have experience with DevOps principles, and MLOps experience is a plus. Strong communication skills are also required, with the ability to present technical concepts to both business and technical audiences.
Originally posted on Himalayas