GLSoft 相信科技能夠創造更好的世界，我們正在尋找與我們有相同信念的夥伴加入我們的行列。歡迎加入 GLSoft 的團隊，讓我們一起以行動力成為驅動社會演進的力量。
【 職務內容 】
(1) 設計、構建和實施機器學習模型,用於產品推薦、類別標記、個性化內容等多個領域,為電商平臺提供優化的用戶體驗。
(2) 收集和處理結構化及非結構化數據,進行數據清理、特徵工程和探索性數據分析。
(3) 研究和應用最新的機器學習技術和算法,如推薦系統、自然語言處理、視覺等。
持續優化和調整模型,提高模型的準確性、穩定性和可擴展性。
(4) 設計和實施A/B測試,評估模型性能並進行迭代式改進。
(5) 與其他團隊合作,將機器學習模型集成到產品和系統中。
【 加分條件 】
1. 曾使用系統演算法，基於項目 Item-Based、Collaborative Filtering，進行商品相似性推薦和過濾預測
2. 曾優化 Clickstream Data, Product Keywords
3. 使用 Databricks
4. 通精通Python、SQL等編程語言,熟悉Scikit-learn、TensorFlow、PyTorch等機器學習框架。
5. 資管資工、數學、統計學或相關領域的學士或碩士或博士學位。
6. 紮實的機器學習和數據挖掘理論基礎,熟悉監督學習、非監督學習和強化學習算法。
7. 有推薦系統、自然語言處理或AI視覺領域的實踐經驗者優先。
8.優秀的數據分析和問題解決能力,能夠從複雜數據中發現見解。
9. 良好的溝通協作能力,能夠清晰地描述技術細節和商業價值。
【 必備特質 】
1. 擁有建立、維護和整合資料的經驗
2. 對新技術有強烈的學習熱情,願意持續學習和成長
3. 具有自律的工作態度，自主管理並完成每日工作目標
4. 溝通介面優良
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【Job Description】
Design, build, and implement machine learning models for various areas such as product recommendations, category tagging, personalized content, etc., to provide optimized user experiences for e-commerce platforms.
Collect and process structured and unstructured data, perform data cleaning, feature engineering, and exploratory data analysis.
Research and apply the latest machine learning technologies and algorithms, such as recommendation systems, natural language processing, computer vision, etc. Continuously optimize and adjust models to improve accuracy, stability, and scalability.
Design and implement A/B tests, evaluate model performance, and iteratively improve.
Collaborate with other teams to integrate machine learning models into products and systems.
【Preferred Qualifications】
Experience using systematic algorithms, such as Item-Based and Collaborative Filtering, for product similarity recommendation and filtering prediction.
Optimization of Clickstream Data, Product Keywords.
Experience with Databricks.
Proficiency in programming languages such as Python, SQL, familiarity with machine learning frameworks like Scikit-learn, TensorFlow, PyTorch.
Bachelor's, Master's, or Ph.D. degree in MIS, Computer Science, Mathematics, Statistics, or related fields.
Solid theoretical foundation in machine learning and data mining, familiarity with supervised learning, unsupervised learning, and reinforcement learning algorithms.
Practical experience in recommendation systems, natural language processing, or AI vision is preferred.
Excellent data analysis and problem-solving skills, able to uncover insights from complex data.
Strong communication and collaboration skills, able to clearly describe technical details and business value.
【Required Traits】
Experience in building, maintaining, and integrating data.
Strong passion for learning new technologies, willing to continuously learn and grow.
Self-disciplined work attitude, able to independently manage and complete daily work goals.
Excellent communication skills.
