Python兼职招聘

项目编号：【192918】 We're looking for an experienced embedded systems engineer based in Shenzhen or nearby city to help complete the development of our technology product. The mechanical designs are already completed in SolidWorks, and the PCB has been designed as well We need someone with strong experience in electronics, PCB manufacturing, embedded firmware (C/C++, STM32/ESP32), sensors, cameras, motor control, wireless communications and hardware/software integration. The role also involves sourcing parts and then assembling the components, testing, debugging and resolving any issues until we have a fully functional product ready for production. Must have hands-on experience taking electronic products from design through assembly, testing and manufacturing, and be comfortable dealing with Chinese suppliers. Good English communication is essential. We're looking for someone experienced who can independently manage the remaining development, not someone learning on the job.

项目编号：【192901】 - **明确范围**：只做 “记账＋分成计算＋展示＋提现流转”，并专表列出不做的五项（游戏分发、联运 SDK、支付打款等），防止报价虚高 - **功能清单**：渠道端 APP 7 条、管理后台 9 条，逐条标了 P0/P1/P2 优先级 - **业务规则**：分成公式、有效充值口径、余额与提现参数、精度（按 “分” 运算防误差） - **可验的部分**：数据表、14 个接口、交付物清单、22 个工作日里程碑、6 项验收标准（含 20 组数据零误差核对） 详谈

项目编号：【192782】 背景 医疗、金融、先进制造、政务等行业沉淀海量多模态异构存量数据，大量数据资产缺少统一认知能力，难以支撑复杂跨文档推理、决策追溯；同时行业普遍存在标注稀缺的低资源场景，知识体系更新迭代快，传统固定知识库难以适配动态业务标准。请构建领域资产认知智能体，实现行业数据价值激活与智能化业务编排。 任务要求 •面向医疗、金融、制造、政务任一或多个行业场景，搭建多模态异构数据资产认知智能体，实现对文本、表格、图文等多元行业数据的统一识别、理解与资产标识。 •设计低资源场景下领域知识图谱本体半自动化构建方案，实现本体持续动态更新，并支持与对应行业规范、标准体系对齐。 •深度集成Nexent的MCP协议与Skills编排能力，打造“检索-推理”双驱动协同智能体执行流。 •挖掘行业沉睡存量数据资产，实现跨文档多跳知识推理、决策链路可溯源；同时提炼通用业务逻辑，沉淀可复用、可快速部署的 Skill 工作流模板。 •智能体基于Nexent平台可运行。