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Yiyuan Communication ps jobs (salary & requirements)

Yiyuan Communication ps salary range: 15K - 50K, where 66.6% of positions earn ¥15-30K
Yiyuan Communication ps salary range: 15K-50K, the most positions earn 15-20K, based on 3 related positions in the past year, as of 2026-10-20
¥15-30K
66.6% of positions earn

Note: the average salary is analyzed based on job postings published by the company. We recommend reviewing it together with position type, education, region and experience.

Yiyuan Communication ps salary changes over the years

Note: the data depends on salary samples of online job postings in the corresponding years and does not fully represent the actual situation within the company. For reference only.

Education requirements: 硕士 is the most common

What education does Yiyuan Communication require for ps positions? 硕士占比最多,占66.7%,本科占33.3%

Salary by education

Yiyuan Communication ps salaries by education: 本科 ¥17.5K, 硕士 ¥32.5K.

Experience requirements: 3-5年 is the most common

What experience does Yiyuan Communication require for ps positions? 3-5年占比最多,占100%

Salary by experience

Yiyuan Communication ps salaries by experience: 3-5年 ¥27.5K.

Yiyuan Communication ps hiring regions: mainly 合肥, 武汉

In which cities does Yiyuan Communication have offices for ps positions? The main distribution is as follows: 合肥 accounts for 33.3%. Click this module to view the proportions of other cities, based on job postings in the past year. For reference only.

Yiyuan Communication ps hiring trends over the years

Yiyuan Communication ps changes in hiring volume over the years

What does Yiyuan Communication ps do

Based on related job postings of Yiyuan Communication in the past year
  • 模型平台与 MLOps 工程师

    合肥-高新区 | 3-5年 | 硕士以上 | 2026-06-27
    1.8-3.5万
    岗位概述:
    你将负责搭建移远 AI 能力的“高速公路”,通过构建云边端协同的 MLOps 平台,实现数万个终端节点上模型资产的快速部署、监控与平滑演进。
    核心职责(包括但不限于):
    AI 生命周期管理平台: 负责 MLOps 平台的架构设计,实现模型版本控制、A/B 测试、灰度下发及基于云端的全量节点状态监控。
    云边端协同架构研发: 研究 K3s、KubeEdge 等轻量化容器技术在嵌入式模组上的应用,利用云端算力进行重任务管理,实现算力的弹性伸缩。
    端侧 OTA 与灰度体系: 建立安全、可靠的模型一键下发与灰度发布机制,确保大规模终端集群在不中断业务的前提下完成 AI 能力升级。
    ISP 与感知融合优化: 协同算法团队优化 ISP 图像处理链路与推理引擎的深度融合,通过流水线优化降低端到端(从像素采集到模型输出)的系统延迟。
    任职要求(包括但不限于):
    熟悉 Linux 系统编程及云原生技术栈,精通 Docker、Kubernetes (K8s/K3s) 、Kafka及容器编排。
    精通 Golang、Python 或 Java 其中至少一种后端开发语言,具备大型分布式系统设计能力。
    熟悉 MQTT、gRPC、WebSocket 等边缘设备常用的通信协议及云边通信机制。
    了解 AI 基础知识,有 Kubeflow、MLflow、TFX 或类似 MLOps 平台建设经验者优先。
    具备嵌入式系统开发经验或了解 OTA (Over-the-Air) 升级流程者优先。
    More
  • 模型平台与 MLOps 工程师 (MJ007258)

    武汉-洪山区 | 3-5年 | 硕士以上 | 2026-10-18
    18-35k 򀀩
  • DevOps工程师 (MJ008185)

    深圳-南山区 | 3-5年 | 本科以上 | 2026-10-18
    12-22k 򀀩

上海 ps salary

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How much does 上海 ps pay? 20-30K is the most common