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Role: DevOps Engineer Location: Remote Reports to: CTO Position Type: Full-Time About CheckCheck CheckCheck is a leading technology company specializing in the authentication of sneakers and streetwear through our mobile application. We empower users to ensure the authenticity of their sneaker purchases by leveraging machine learning algorithms and industry expertise. Our user-centric platform allows users to purchase credits and submit photos for professional authentication services. Job Descri

A.I. technology/application research, design and development. Machine learning, statistical training, and deep learning development. Initial, innovate, develop and introduce Intelligent Manufacturing Solutions. System analysis, design, development and integration for cross organizations/systems projects.

Description RoleTSMC AI team is developing the next-generation technologies that change how high-tech manufacturing works. We're looking for engineers and data scientists who are passionate about bringing new ideas from diverse areas and love working with complex data, finding insights, and presenting findings to peers, management, and internal customers.As a key member of a small and versatile team, you will design and implement machine learning algorithms that support TSMC R&D/Fab/

想要擁有紮實的AI技術？ 想要跟上AI的最新趨勢？ 想要累積各產業的AI導入經驗？ 在工作中達成你的願望！ 工作內容： 人工智慧相關新技術研究與分享 企業內訓課程教材準備與授課 輔導與執行人

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

About us: Hoc-trade is an international Fintech startup founded and located in Taipei, Taiwan. We are pioneering the area of AI-powered behavioral Trading Analytics. Our application detects behavioral patterns in the actions of active traders and investors in the Crypto, Forex and equities trading market, analyzes which behaviors repeatedly make losses for the traders, and send real-time alerts to the users. Our platform merges the areas of behavioral finance/ psychology, AI, and Trading

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 10 years of experience in software development, and with data structures/algorithms. Preferred qualifications: Experience in building embedded system software stack. Experience in developing android tests and applications. Understanding of machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep lear

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

Role: Deploy, manage, and optimize machine learning models in production environments, ensuring seamless integration and efficient operations. Responsibilities: 1. Check deployment pipelines for machine learning models. 2. Review code changes and pull requests from the data science team. 3. Trigger CI/CD pipelines after code approvals. 4. Monitor pipelines, ensuring all tests pass, and model artifacts are generated/stored correctly. 5. Deploy updated models to production after pipeline

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. 熟悉其中一門架構Bert、Attention、Transformer、 decoder ONLY、Vocoder、Unsupervised Learning、K means比較。 6