Updated 3 Months agoIT » Machine Learning Engineer

Job Description

  • Hands on data processing, statistical analysis, algorithm development, and deployment in research and production
  • Testing and maintaining models through A/B testing, retraining, supervising model performance
  • Working with cross-functional medical, business, and technical teams to optimize data inputs according to model needs and outcomes

Requirements

  • 兩年以上機器學習、資料前處理及Python實務開發經驗
  • 熟悉資料前處理工具,如 numpy, pandas, scikit-learn
  • 熟悉資料處理及機器學習相關演算法,如 SVM, decision tree, k-means
  • 能獨力完成從資料前處理至建模的完整機器學習流程
  • 熟悉Deep Learning開發框架,如 Pytorch, Keras, Tensorflow
  • 熟悉 Git 版控
  • 熟悉 Linux 操作
  • 喜歡接觸/分享新技術
  • 樂於接受挑戰
  • 重視團隊合作,願意與團隊溝通、磨合出最有效率的共事方式- 對自我的工作品質要求
  • 加分條件:
    • 熟悉視覺化工具者尤佳
    • 具備應用AI於醫療產業相關開發經驗者尤佳
    • 熟悉資料庫者佳,如 MySQL, PostgreSQL
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AHEAD Intelligence Ltd. 先勁智能有限公司

臺北市南港區三重路19-13號4樓 437室

About us

  • AHEAD Intelligence(先勁智能)著重於利用機器學習開發快速、精準與客觀細胞檢測資料分析平台協助加速用於疫苗、藥物研發、細胞治療、疾病診斷與追蹤所需要的檢測資料分析
  • AHEAD創辦人團隊集結來自台大醫院內科部血液科、台大醫學院內科、清大電機工程學系人類行為訊息暨互動計算研究室等專家,目前積極拓展國際市場 


AHEAD delivers on-demand insights by replacing human visual interpretation of cell-level data with AI and machine learning. As the software intelligence layer between machine generated cell-level details and humans, the AHEAD platform offers AI/ML enhanced accuracy, 10X-20X faster results, and 3-6X lower costs. Low cost, on-demand insights, and higher productivity enable AHEAD to relieve bottlenecks and enable global availability.

Team