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需求、執行產品開發前期研究、轉寫產品開發規格。 3. 與工程師一起尋找解決問題的技術方案、分析產品數據含商業數據、追蹤用戶回饋、追蹤產品使用成效，持續進行產品優化迭代。 4. 與 Data Pipeline Engine

新創 AIot 公司 Using Go/Golang to collaborate with architect and cross-functional team to design and implement robust backend systems. Collaborate with front-end developers and mobile app developers to integrate server-side logic with client-side applications. Support real-time data processing and analytics such as develop and maintain APIs, microservices, and data pipelines. Handle a high volume of data to ensure the security, scalability, and reliability of backend systems. Troubleshoot

SQL使用與撰寫經驗。 3. 熟悉Python程式開發經驗。 4. 熟悉Spark/ Kafka/ Container/ Docker開發經驗。 5. 熟悉雲端Data pipeline/ DevOps pipeline開發經驗。 6. 熟悉常用的 Open Source 工具實務經驗。 7. 擅長解決問題、除錯、故障排除，提出

To be a problem solver! Discuss with product owner and UX designer for customer needs Design implementation detail and provide preview/test/release schedule Work with team for enhancing data pipeline efficiency Work with team for designing API interfaces (most of them will be restful API) Monitor and fine tune system performance

detection/classification/recognition/tracking, behavior analysis, …) 和聲學處理 (Abnormal noise detection/classification, …) 3. 針對於不同的嵌入式系統的AI加速晶片(非GPU)進行模型壓縮與優化,以符合速度與準確度要求 4. 協助設計與建立MLOps流程與Data pipeline的介接工具

程師可以兼職，遠程工作。因為Wavv的CTO在台北，所以台灣地區都可以，台北優先考慮。 5+ years experience in backend system / server side development 5+ years experience in Python Familiar with: * Distributed systems * Container architecture (docker, kubernette) * API design (restful, graph) * Data pipeline * Web framework (flask, django) * Cloud environment (AWS, Google CLoud) * Test framework (unittest, pytest) * Version control (Git)

*** Responsibilities *** 1. Develop a highly concurrent and scalable backend service using microservices. 2. 3rd-party API integrations 3. Optimize applications and data pipelines for maximum performance and scalability. 4. Foster a positive engineering culture by setting the standard and leading by example.

Responsibilities Design, support, maintain, and upgrade highly performant and tested APIs and internal services using tools like Python, Celery, Kubernetes, MySQL, Mongo, and Redis Migrate our platform and solution to support agnostic deployments. Design, vet, build and deploy scalable data pipelines (spanning data ingestion, ETL, and machine learning analytics) Architect test plans in order to implement maintainable code Interact with backend APIs and optimize responsiveness Research and select

鐘不夠?: http://bit.ly/CRemb9YT 影片Q&A 系列 - 1）招聘工程師時注重的特質： http://bit.ly/CRfaqs3 2）為什麼在台灣設工程團隊以及面對的問題： http://bit.ly/CRfaqs2 Responsibilities: Enhancing and optimizing the data processing pipeline for improved efficiency. Developing and maintaining rob

主要負責內容為： 1. 建構各種Data Collection Pipelines 2. 建立自動及半自動化的Model Training Pipelines 3. 使用既有或引進新的工具來管理Datasets/Models/Configs 4. 部署ML Applications 5. 監控ML 服務以及協助除錯