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- We are looking for experienced Machine Learning/Deep Learning engineers. - This is a technical role, and it requires a high willingness to learn state-of-the-art AI techniques and a skill to apply AI techniques to business applications/processes. - Participate in the engineering life-cycle, including writing production code, conducting code reviews and deploy machine learning solutions into production. - You’re not just looking for a job, you’re looking for an innovative

We are looking for a highly knowledgeable and enthusiastic machine learning engineer to help solve complex problems across a variety of audio processing projects. You will be both creating new solutions and evaluating existing machine learning (ML) processes, as well as performing statistical analysis to create and analyse large data sets. To ensure success as a machine learning engineer, you should be able to demonstrate solid data science knowledge and experience in a related ML role, as well

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

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

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

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