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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

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.

We are looking for a creative and passionate Machine Learning (ML) / Deep Learning (DL) Intern to join Roku TV team. You will be tasked to explore Picture Quality (PQ) improvements using AI in a resource constraint environment. Roku is pushing the limits in all directions, and PQ is one of these. This role is for a 12-week Summer 2024 Internship based in Taiwan. Learning end-to-end pipeline right from model development to deployment

This position is for candidates with a career plan towards being an AI Full Stack Engineer. You will work with AI researchers in academia, implement algorithms, build computer vision services, and develop core ML pipelines. As a member of the AI team, you will work with worldwide fellow AI engineers, including engineers in our New York, India, and Taiwan branches. The goal of the AI team is to continuously optimize our core algorithms for extended-body estimation

析（領域資料洞悉、特徵選擇、資料前處理等） 機器學習或其他相關演算法開發, 維運 機器學習模型改善以及效能調校 開發以及部署高度可擴展的機器學習模型 使用資料整合平台（如 AirFlow）建立 MLOps 管線

熟練運用 VSCode、PyCharm 或其他主流 IDE 11. 注重程式碼品質和維護性 【 加分條件 】 1. 專長於 Python 和機器學習（ML） 2. 熟悉關聯式資料庫操作和開發，例如 SQL 指令等 3. 熟悉 Atlassian JIRA 專案管理平台 4. 使用過 Jupyter

About the job KKLab is seeking a skilled Solution Architect who can understand customer needs, initiate business dialogues, and assist customers in integrating our primary offering Headquarter.ai (HQ), an Applied AI Orchestrator for Enterprises built on several cloud-based PaaS, enabling customers to utilize state-of-the-art AI/ML capabilities while retaining 100% ownership of their private data. In this role, you will be responsible for demonstrating and explaining to customers the distinct ben

▸ Participate in the entire development lifecycle of the MLOps platform ▸ Collaborate with Front-end developers to integrate user-facing elements with server side logic ▸ Collaborate with data engineers and data scientists to assist in the practical implementation of complex domain knowledgecould accelerate the ML dev cycle (MLOPs). ▸ Ability to adapt flexibly to various unforeseen and unfamiliar challenges ▸ Build reusable code and libraries for future use

▸ Participate in the entire development lifecycle of the MLOps platform ▸ Design robust and scalable systems and implement new functionality and product enhancements ▸ Identify potential system performance bottlenecks and improve them ▸ Translate vague business requirements into practical and dividable user stories ▸ Provide technical guidance to colleagues and establish a developer-friendly environment. ▸ Build reusable code and libraries for future use

Be responsible for managing our entire k8s-based infrastructure for MLOps.