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Curious about what it’s like to work at the world’s number 1 discovery platform as a Data Engineer in Production IT ? We’re glad you asked! Taboola , the world’s largest content recommendation platform, is hiring a Data Infrastructure Engineer. What are some of the things you do on a day-to-day basis? Determine database structural requirements by analyzing R&D operations, applications, and programming; reviewing objectives with relevant business units; evaluating current systems; Develop databas

- 了解電力能源相關領域知識（太陽能、風力、電力平衡調度 等等），以效率為前提，應用 ML 來解決能源領域常見的痛點 - 開發或維護 ML 的相關產品：太陽能發電預測、太陽能電廠異常偵測、太陽能清洗預

我們熱愛創新技術的研發，希望所開發出的產品能充滿溫度並散播歡樂，期待充滿熱血的夥伴加入我們的行列，挑戰自我創造更多膾炙人口的作品。 職責： 評估和實施最新的AI技術，特別是LLM（如ChatGPT

1. 開發聊天系統語音合成、開發歌聲合成系統。 2. 熟悉現在熱門資料庫、爬蟲、資料搜尋。 3. 熟悉TRANSFORMER、PROMPTING、INSTRUCT TUNING。 4. 熟悉Python、Pytorch、Keras，機器學習(machine learning)的各類算法，並有實際項目使用經驗。 5. 熟悉其中一

【 Backend-end Engineer (Data)】 【 Job Summary】 As a Python Engineer at Mlytics, you will play a pivotal role in designing, developing, and maintaining data solutions that power our data-driven initiatives. Leveraging your expertise in Python programming, database management, and cloud architecture, you will be responsible for building robust data pipelines, optimizing data processes, and developing RESTful APIs to enable seamless data access and integration. Collaborating closely with analysts, f

We are seeking senior data engineers interested in developing a document intelligence service for professional workers, collaborating with our global RD, PM, and growth teams. The service leverages AI to assist professional workers in automating the processing of business documents. For instance, it can automatically scan professional documents, including contracts, financial documents, and medical records, and then extract relevant data for workflow automation.

科技，任何idea以及嘗試，我們都很熱意討論。 工作內容： 1. Develop and design data / backend service systems for business related purpose. Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics Design, build, and maintain APIs, services, and systems. Innovate and implement tools to enhance internal team efficiency. Architect service structures suitable for Cloud environments like AWS and GCP.

At SHOPLINE we are working on very interesting initiatives that would involve using data-mining and machine learning. with the vast amount of data that we currently have and growing exponentially. We will share details during the interview. 【What you'll be doing 】 - Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics - Responsible for data schema management and db performance tuning - Develop backend APIs and maintain data visualization platform f

利在公司內流動，被各所部門、同事、甚至終端使用。 « 在團隊中你需要負責的工作內容 » ✅ 建立並維運Data Pipeline(streaming & batch)： 資料是公司的血液，我們就是建立並維護血管通暢的人。 您需要與資料分析師/科學家

Superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our business team. We want people who innovate and love solving hard problems. Key responsibilities: - Fine tune and optimize LLM's - Building and maintaining data pipeline including data processing and data analytics - Developing and maintaining efficient and sca