【Elite100】研發替代役 AI RD
Linkou, Taiwan
Advantech
Advantech is a leading brand in IoT intelligent systems, Industry 4.0, machine automation, embedding computing, embedded systems, transportation, environment monitoring, power automation, retail, logistics, fleet management, healthcare IT,...職務概要
團隊致力於開發與推動公司邊緣 AI 計算的創新解決方案! 整合最前沿的 AI 技術與框架,全面提升邊緣 AI 裝置的效能與應用價值,為多元產業需求提供突破性、實用且高效的邊緣 AI 解決方案。
開發整合多家領先的 Edge AI 加速晶片與平台,涵蓋從模型訓練、微調到優化與整合、部署與應用全流程工作。將邊緣 AI 裝置廣泛應用於實際場景(如:機器人視覺辨識、智能聊天機器人、生成式 AI 解決方案等),推動 Edge AI 的發展與落地
主要工作內容
訓練、開發 Vision AI, Gen AI 模型部署與應用
優化、部署 適合邊緣 AI 裝置運行的 AI 模型與框架
使用 PyTorch 、ONNX、OpenVINO 等 AI框架進行開發
必要條件
工作經歷 研發替代役
學歷要求 碩士
科系要求 資訊工程相關、其他數學及電算機科學相關
語文條件 中文 -- 聽 /精通、說 /精通、讀 /精通、寫 /精通
英文 -- 聽 /中等、說 /中等、讀 /精通、寫 /精通
擅長工具 Windows、Linux、Git、Docker, VSCode、AI Coding Assistant
出差外派 無需出差外派
工作技能
[Must]
Machine Learning、Deep Learning、AI
AI 框架 ( 如 PyTorch、ONNX、OpenVINO、TensorFlow …)
AI 模型訓練、數據標註及模型優化
Python、C/C++
Linux 和 Windows 程式開發
加分條件
具備生成式 AI(如 LLM fine-tuning、LLM Chatbot、RAG)經驗。
Docker容器化技術搭建 AI 應用服務
Job Summary
Our team is committed to developing and advancing innovative solutions for edge AI computing. By integrating cutting-edge AI technologies and frameworks, we aim to comprehensively enhance the performance and application value of edge AI devices, providing breakthrough, practical, and efficient edge AI solutions for a variety of industry needs.
We collaborate with leading-edge AI accelerator chips and platforms, covering the entire workflow from model training, fine-tuning, optimization, and integration to deployment and application. Edge AI devices are applied in real-world scenarios, such as robotic vision recognition, intelligent chatbots, and generative AI solutions, driving the development and implementation of edge AI technology.
Main Job Responsibilities
Train and develop Vision AI and Generative AI (Gen AI) models for deployment and application.
Optimize and deploy AI models and frameworks suitable for running on edge AI devices.
Develop using AI frameworks such as PyTorch, ONNX, and OpenVINO.
Requirements
Work Experience: R&D Substitute Services
Educational Requirements: Master’s degree or higher
Relevant Fields of Study: Computer Science or related fields, Mathematics, or other Computational Sciences
Language Proficiency:
Chinese: Listening / Fluent, Speaking / Fluent, Reading / Fluent, Writing / Fluent
English: Listening / Intermediate, Speaking / Intermediate, Reading / Advanced, Writing / Advanced
Proficient Tools: Windows, Linux, Git, Docker, VSCode, AI Coding Assistant
Travel Requirements: No travel or relocation required
Skills:
Machine Learning, Deep Learning, AI
AI frameworks (e.g., PyTorch, ONNX, OpenVINO, TensorFlow, etc.)
AI model training, data labeling, and model optimization
Proficiency in Python and C/C++ programming
Application development in Linux and Windows environments
Additional Qualifications
Experience with generative AI (e.g., LLM fine-tuning, LLM Chatbots, RAG).
Building AI application services using Docker containerization technology.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Chatbots Computer Science Deep Learning Docker Generative AI Git Linux LLMs Machine Learning Mathematics Model training ONNX Python PyTorch R RAG R&D TensorFlow
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