高雄軟體園區-高效能GPU網路架構工程師

Job Summary:  

• The engineers should have comprehensive knowledge of AI Large language models, such as GPT-4, and their underlying mechanisms, including an understanding of natural language processing, machine learning, and neural networks. 

Key Responsibilities: 

• Construct, train, and fine-tune large language models to meet specific organizational requirements and goals. Implement strategies for AIGC to create high-quality content. 

• Integrate AI technologies into existing products and services, ensuring they align with business objectives and enhance user experience. 

• Work collaboratively with cross-functional teams and provide technical guidance to non-technical members. Stay updated with AI advancements and educate team members on new developments. 

• Continuously monitor the performance of AI models, making adjustments and improvements based on data analysis and business needs. 

• Maintain effective communication with other teams to ensure collaborative project success. 

• Engage in ongoing learning and research to identify and implement new and appropriate Large Language Model technologies to enhance overall efficiency.

1. 研究雲儲存元件和新功能、新版本開發演進，及系統優化，進行功能導入設計 

2. 雲儲存應用服務整合設計與開發 

3. 協助存儲平台問題釐清解決與設計優化 

4. 開發自動化佈署套件 

5. 協助客戶資料中心運維技術支援

＊對於開發Java 網站有開發經驗 

＊了解Alfresco 架構與相似經驗開發。  

＊進行開發前後功能之相容測試與除錯修改、規格技術文件撰寫。  

＊協助研發網站新技術與新工具。  

＊提升自我網站前後端技術，行動應用及網路發展趨勢

1. Develop Cluster Deployment/Management/Monitor Modules 

2. Big Data Platform Operation (Hadoop, Spark, HBase, ...) 

3. Support Customer to Maintain Big Data Platform

＊了解虛擬化VDI 應用 

＊Restful API呼叫、設計以及程式撰寫。  

＊進行開發前後功能之相容測試與除錯修改、規格技術文件撰寫。  

＊協助研發網站新技術與新工具。  

＊提升自我網站前後端技術，行動應用及網路發展趨勢

• Major tasks focusing on data center devices, including AI accelerators, servers, storage, Ethernet switches, and power shelf. 

• Development of hardware diagnostics software 

• Development of automated testing processes for products 

• Integration or development of software for product stress testing 

• Support for manufacturing test development during new product introduction

Job Summary: 

The Machine Learning engineer will be responsible for computer vision related projects, particularly in advanced image/video processing analyses and utilized for improving product quality, production yield, and factory effectiveness, along with other R&D activities such as algorithm designs, prototype developments and experimental designs.  

Key Responsibilities: 

• Design, implement, and refine advanced Machine Learning/Deep Learning models to support product quality improvement, increasing yield and factory effectiveness. 

• Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements. 

• Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization. 

• Apply deep learning and computer vision techniques, such as image classification, object detection, and support integration of models into tools for use by product engineers and business analysts. 

• Engage with customers to develop and customized data analytics solutions to address special needs. 

• Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner. 

• Communicate the application and benefits of using various modeling techniques to improve decision-making to customers and stakeholders. 

• Collaborate effectively with team members, whether leading projects or supporting initiatives led by others.  

• Research and evaluate new data technology and state-of-art algorithms, and keep up to date with market trends and competitive insights.

1.數據監控Web程式開發與設計 

2.雲端應用服務功能開發 

3.使用者介面程式開發 

4.軟體模組開發與整合

* 開發 OpenStack 和 CEPH 的自動化佈署。 

* 開發自動化維運工具。 

* 協助客戶進行平台規劃和佈署。

1.監控系統程式開發與設計 

2.弱電設備安裝測試維護 

3.環控系統安裝測試維護

團隊組成 (Team): 

前身是提供企業內部資料分析顧問服務以及打造客製化資料系統服務團隊之資料工程部門，擁有多年經驗。目前積極規畫與開發自有的資料處理平台，支撐高自由度、高效能、可靠並可擴展之資料處理/分析流程，解決實務上欲打造一套資料系統的難題。 

工作內容 (Responsibilities): 

1. Software Engineering: 

• Produce specifications and determine operational feasibility 

• Write well-designed and testable code for building an efficient and stable system 

• Troubleshoot, debug, maintain, and upgrade existing systems 

2. Data Platform Development & Data Engineering: 

• Module development and integration for building a modern data platform 

• Efficient data flow/pipeline module design and Implementation 

• Work closely with data science team to integrate ML/statistical models and analytical workflow

我們是一個專注在提供資料分析解決方案、顧問服務及平台開發的團隊，成員組成主要包含統計、資料探勘、機器學習、資料庫、數據分析網站平台開發、資料視覺化等背景。我們徵求有高度企圖心的軟體開發工程師來共同打造世界一流之產品，發揮資料科學的商業影響力 

Responsibilities: 

• 網頁平台介面開發 

• 網頁平台API 開發 

• 分析資料整合與串接