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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

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

Responsibilities Design, support, maintain, and upgrade highly performant and tested APIs and internal services using tools like Python, Celery, Kubernetes, MySQL, Mongo, and Redis Migrate our platform and solution to support agnostic deployments. Design, vet, build and deploy scalable data pipelines (spanning data ingestion, ETL, and machine learning analytics) Architect test plans in order to implement maintainable code Interact with backend APIs and optimize responsiveness Research and select

IT 架構，提供技術支持和解決方案 3.參與線上與線下活動並分享解決方案，協助業務獲得潛在客戶 4.GCP 服務相關技術研究，以及提供技術顧問諮詢服務 (IoT 、 Big data 、 Machine Learning) 5.GCP 技術部落格寫作

務理念，致力提供完整、快速、客製化的服務予我們的客戶。 這個職位我們需要研究與開發機器學習(Machine learning)演算法與深度學習(Deep learning)於資料分析與預測模型的建立，包含 1. 投資模型策略設計與資料