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【 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

- 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

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

大家好！我們是 零一成長行銷公司 。 歡迎加入我們目前團隊的開發部隊， 部隊未來即將部屬不同跨領域團隊 ，包含了專業的SEO、前後端、數據/ML，目前也將引進AI技術作為新武器 ，因此零一行銷即將

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

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

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e

【Game changer, armed with data.】 You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire. 【What a Data Analyst does in Titansoft】 ．Use Google Analytics data

We are data team in EC LINE TW. First, you will have chance to participate huge scale machine learning and data engineering architectures for recommendation, data pipeline, search application and NLP for EC family services in LINE TW. In addition, you will learn how to cook complete data solution by LINE machine learning, big data and cloud platform. Furthermore, working with diverse roles in EC Data team is challenging and very interesting experience (data engineer, data scientist

To design and develop innovative machine learning models that enhance our content products and improve user experience. We're looking for individuals who enjoy challenges and are passionate about making a real impact to LINE TODAY. Responsibilities Develop ML models, prototypes for recommendation scenario. Evaluate model performance and make improvements as needed. Communicate results and insights to the team and stakeholders.