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【關於我們 - Data Munger AI】 Data Munger 致力成為企業與實用 AI 解決方案間的最佳夥伴，從導入一路陪伴到落地。 在人人喊AI的時代下，真正為企業打造一個會持續進化的「AI 大腦」讓決策更快、流程更簡，讓人力價值最大化。 官網： https://datamunger.io/ 💼 工作職責 資料處理管道設計與開發 使用 Python 與 BigQuery SQL 為 AI 應用設計、開發及維護資料處理流程，確保機器學習模型可獲取高品質資料。ETL/ELT 工作流程構建 建立並優化 ETL/ELT 流程，確保資料自動化處理與數據一致性。RAG 系統實作 應用 RAG（檢索增強生成）技術，提升 AI 互動的準確性與上下文相關性。向量資料庫與查詢優化 優化向量資料庫（如 Pinecone、Qdrant）及 SQL/BigQuery 查詢效能，提升 AI 搜尋與回應速度。API 建構與維護 使用 Python 框架（FastAPI、Flask）建立並維護資料處理與 AI 服務 API。機器學習模型與資料管道部署 在雲端基礎架構（主要以 GCP 為主，並整合部分 AWS）上部署 ML 模型與資料管道，實踐 MLOps 原則以確保部署具備可重現性、擴展性及監控能力。跨部門協作與技術創新 與資料科學家、AI 研究人員及前端團隊協作，共同打造端對端 AI 產品，並持續導入最新技術以優化解決方案。

Company highlights Over 100 million users worldwideDiverse product offerings, including cryptocurrency exchange, payment services, DeFi wallet, and NFT marketplace ResponsibilitiesResponsible for backend development, system architecture design, code review, and implementation.Develop prototypes for new products, lead project execution, and experiment with innovative technologies and solutions.Solve complex problems in large-scale backend architecture and mobile platforms, ensuring system performance and stability.

awoo 阿物科技以深厚的 SEO 顧問專業起家，成功轉型為服務全球逾 16,000 家企業的 MarTech 領導品牌。面對生成式 AI 改寫企業營運與消費者行為的巨浪，awoo 結合「頂尖 AI 技術」與「十年顧問實戰經驗」，推出具備市場前瞻性的 GEO (Generative Engine Optimization) 與 LLMO 解決方案。我們致力於協助企業在大型語言模型主導的未來，不僅被 AI 看見，更被精準引用與推薦，將 AI 轉化為企業持續成長的最佳 Agent。 Major Duties and Responsibilities： 產品落地與協作：負責開發和優化 AI 產品與服務，從 PoC 到產品化，跨部門合作提出創新解決方案，推動 AI 產品落地。效能優化：維運現有系統，分析並解決服務和算法的效能瓶頸。ML/Data Pipeline：設計與建立可擴展的 Pipeline 自動化流程，提升開發和部署效率。 Qualifications： 具備 5 年以上軟體開發經驗，3 年以上 AI 產品研發經驗。熟悉自然語言處理（NLP）、生成式 AI 相關技術（LLM, RAG, Prompt/Context Engineering），使用開源套件或自行開發算法（Transformers, LangChain, LangGraph, DSPy, TensorFlow, PyTorch, Scikit-Learn）。具備模型的開發、訓練、部署、優化的完整實務經驗。具備使用 Container 和 Kubernetes 的開發與部署經驗。熟悉向量資料庫與 Embedding 模型，確保系統效能與可擴充性。熟悉分散式計算與查詢引擎（如 Spark、Trino、Clickhouse），具有處理大量資料處理開發與維運經驗。熟練 Git, Linux, Python, Docker, SQL，能以 FastAPI 開發高效服務。 Nice-to-Have： 雲平台經驗，如 GCP, AWS, Azure。具有 LLM/SLM Finetuning 實務經驗。MLOps/LLMOps 專案經驗，以量化指標來衡量模型和產品的成效。規劃與實作 CI/CD 自動化流程。具備推薦、搜尋或貼標系統的產品化經驗 擅⻑工具（JD 標籤） 程式與開發：Python, Git, Linux, SQL, FastAPIGenAI：RAG, Prompt Engineering, Context Engineering, Agent資料與運算：Airflow, Spark, Trino, Vector Database, Qdrant平台與部署：Docker, Kubernetes, Cloud, GCP, AWS, Azure

About the Role We’re looking for a Senior AI Algorithm Engineer with a strong background in image processing and vision-language AI. You will lead the design and optimization of cutting-edge computer vision and inference algorithms, with applications spanning color analysis, image stitching, and multimodal understanding. This role requires hands-on experience in deep learning, cloud deployment, and production-level AI integration. You’ll also work with frameworks such as NVIDIA NeMo and deploy AI services using NIM to cloud platforms like GCP and AWS, with Kubernetes for orchestration. What You’ll Do Design and implement deep learning models for image processing, object detection, and anomaly detectionDevelop models for color recognition, color classification, and image-based feature analysis Fine-tune or integrate Large Language Models (LLMs) for vision-language tasks such as captioning, semantic search, and classification Optimize models for accuracy, inference speed, and resource efficiency Deploy and scale model services on GCP / AWS using Kubernetes (K8s) Utilize NVIDIA NeMo to train and deploy LLMs or VLMs, and package models into lightweight Docker containers served via NIM architectureCollaborate closely with product, frontend, and backend teams to integrate AI features into real-world applications

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Location: West Palm Beach, FL or New York, NY The Role: We are seeking an exceptionally talented AI Scientist to join the Artificial Intelligence team at WorldQuant. The successful candidate will: Conduct research in the Machine Learning field to improve multiple aspects of the investment pipeline Produce trading or predictive signals using innovative Machine Learning algorithms Apply the latest in LLM based agentic technology to develop and test innovative trading signals and algorithms Implement signal compression and combination techniques using Machine Learning tools Implement state of the art machine learning algorithms Design deep learning architectures. Develop model frameworks for investment professionals Collaborate with portfolio managers and researchers to optimize machine learning algorithms Communicate optimally with team members, researchers, and portfolio managers What You’ll Bring: PhD degree in a quantitative or highly analytical field (e.g., Computer Science, Physics, Mathematics, Statistics, or a related field) 2+ years of research or work experience applying Machine Learning in innovative ways to complex problems Graduated at the top of your respective educational program, with excellent problem-solving abilities, insight, and judgment with a strong attention to detail Demonstrated ability to program. Strong development skills and proficiency in C++, Python, and PyTorch. Demonstrated science aptitude via record of creativity and inventions. Ability to run experiments and perform statistical inference. Experience with software development tools and practices, such as version control (e.g., Git), continuous integration, and testing frameworks Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization Strong communication skills; ability to express complex concepts in simple terms Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month, three personal days, and ten sick days. Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $150,000 - $200,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at [email protected], and we will address your concerns promptly.By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

想要的不只是工作，而是能讓你持續進步的舞台？ 在傳旭，我們讓專案管理不只停留在「控管進度」，而是透過 AI技能訓練 + 實戰專案經驗，讓你快速升級成為新世代專案管理人才！ 你將主導專案從接案、排程、預算控管到系統交付的每一個關鍵時刻，並與設計師、工程師、行銷同仁密切合作，真正發揮跨領域整合的價值。 ✨ 我們提供獨特的人才培養機制 AI專業培訓：公司提供 AI 技能課程（如 企業AI 流程自動化應用 課程），讓你學會如何將 AI 工具應用在流程優化、數據分析與專案自動化 跨領域實戰經驗：與不同專業的團隊緊密合作，全面培養專案管理能力 成長曲線加速：完整參與專案全流程，從需求訪談到成果交付，快速養成全局視野 你會做的事 主導專案規劃與執行，確保進度、成本與品質達成目標 進行跨部門協調，整合設計、程式、行銷等資源 熟悉客製化系統開發、企業官網建置、CMS 系統等 能針對不同專案提出流程優化建議並落實執行 在專案執行中具備清楚的成本概念 我們期待你 具備 Web-base 專案相關技術觀念 有系統開發或行銷廣告產業經驗者佳 對專案管理、流程優化與團隊協作有高度熱情 喜歡學習新技術，樂於將 AI 工具融入專案流程 為什麼加入我們 成長加速：公司提供 AI 與專案管理的專業培訓 跨領域合作：與設計、工程、行銷團隊協作，全面提升能力 影響力舞台：你的專案將直接影響客戶的數位行銷成效** 公司基本上不鼓勵加班，若臨時因客戶有需求或有較緊急的業務需配合加班時，公司會提供加班申請，給予相應的報酬或休假** 瞭解更多傳旭工作特色 https://www.dc.com.tw/recruit聽聽DC專案經理怎麼說:Ashley 的經驗談 https://youtu.be/EBKaS_wJnpk?si=0hBl2T2DCQSv6Tsv

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages: Python, Java, or C++. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other machine learning disciplines. Experience working as Technical Solution Architect in a cloud computing environment or a customer-facing role. Ability to communicate in English and Japanese fluently to support client relationship management in this region. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, LSTM, etc.). Experience architecting and developing software or infrastructure for distributed systems and with machine learning technologies. Understanding of AI Models, Large Language Models, AI specialized infrastructure and AI practice. Ability to learn, understand, and work with new technologies, methodologies, and solutions in the Cloud/IT technology space. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Google Cloud Platform Generative AI team helps customers unlock their potential with AI. As part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes using AI and ML. You will apply expertise in implementing and deploying Generative AI (GenAI) solutions.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud. Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future. Travel to customer sites, conferences, and other related events as needed. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

・與產品、風控、運營團隊協作，針對業務需求定義資料模型與監控指標・建置 ETL 流程，收集與清洗來自平台的行為數據（如下注記錄、轉碼、點擊行為）・開發與維護異常偵測模型（如洗碼對打、機器人行為、套利用戶）・利用機器學習或統計模型預測玩家留存、LTV、流失風險・設計風控策略，提升平台資金與行爲風險控制能力・定期產出分析報告，提出可行的產品或營運優化建議

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in computational Linguistics or Engineering. Experience working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or Machine Learning. Excellent communication, presentation and problem-solving skills. About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage and deliver implementations of Contact Center AI solutions, become a trusted advisor to decision makers throughout the engagement. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on the field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to complex customer requirements and implementation standard procedures. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

[About the Role]We are looking for talented AI/ML engineers to help build, evaluate, and optimize next-generation AI systems. In this role, you will design and improve machine learning pipelines, fine-tune large language models, develop generative AI applications, and contribute to the research and engineering workflows that power real-world AI deployments. This is a highly technical role ideal for engineers who enjoy solving complex ML problems, working with modern AI architectures, and pushing the boundaries of model performance and capability. [What You’ll Do]As an AI/ML LLM Engineer, you will:• Build, train, and optimize machine learning models, including LLMs and multimodal models.• Develop and maintain ML pipelines, including data preprocessing, training, inference, monitoring, and performance optimization.• Fine-tune LLMs for downstream tasks and design evaluation strategies to measure progress.• Implement RAG (Retrieval-Augmented Generation) systems using vector databases and orchestration frameworks.• Collaborate with cross-functional teams to design user-facing AI features and integrate models into production workflows.• Conduct research explorations, benchmark different architectures, and experiment with new methods from recent papers.• Build and deploy scalable ML services using Python-based frameworks, cloud platforms, and containerization tools.• Document engineering decisions, model behavior, experiments, and results clearly.