Data Engineer / Machine learning Engineer -- 資料工程師 / 機器學習工程師

薪資範圍:1,000,000 ~ 1,300,000 TWD / year

公司名稱: SymptomTrace - 星坦科技股份有限公司

Job Summary:

You are responsible for contributing to the development of AI/ML solutions that will drive the innovation of our product offering. This entails understanding and AI model building, implementing and measuring the effectiveness of various AI/ML models in addressing various opportunities in the medical field.

Job Responsibilities:

  • Be the subject matter expert in the data available on the medical domain.
  • Work with product owners and engineering to ensure an efficient implementation of AI products.
  • Work with data engineer/ML engineer to ensure identified data is made available for analysis, articulate needs of data scientist in the early stage of project.
  • Contribute to the implementation of machine learning algorithms to drive proof-of-concepts, projects powered with AI in various stages. 
  • Work with the engineering team to design, execute, and monitor product experiments.
  • Define, track and discuss features needed on each use case to be captured in the data pipeline.
  • Contribute to dashboards to track relevant metrics.
  • Document and communicate findings to stakeholders in a clear and concise manner

Job Requirement

  • Relevant degree in Mathematics and Statistics, Computer Science, or Engineering
  • At least 3 - 5 years of working experience relevant to the field of data science
  • At least 2 - 3 production AI project experience with significant tasks and responsibilities.
  • Real-hand experiences in deep learning frameworks such Tensorflow, Keras or PyTorch.
  • Practitioner of data-driven decision making, ability to break down complex AI use cases to priorities and weigh tradeoffs between different approaches.
  • Discover AI papers for the use case, perform preliminary analysis and implementation when deemed fit.
  • Proven knowledge in Python and data science toolkits.
  • Ability and practice in doing statistical analysis on large, unstructured data sets
  • Solid understanding in machine learning algorithms such linear/logistic regression, decision tree/random forest, SVM, KNN, k-means, etc.
  • Proficient in data visualization and data storytelling.
  • Good communication and documentation skills both in English and Mandarin.
  • Experience with any dashboard development or implementation.

Good to Have

  • Relevant working experiences in the medical field.
  • Real hand experiences on cloud platforms.
  • Solid understanding on machine learning pipelines and how cross functional teams leverage AI Models.
  • Familiarity with SQL, non-relational database.
  • Experiences in data and model versioning, model tracking. 

公司地址:

NYCU YangMing Campus, Incubation Center, ZhiHe Building, No. 155, Section 2, Linong St, Beitou District, Taipei City, Taiwan 112

其他:

Technical Interview with Head of Data ScienceInterview with CTOPair Coding test with another member of Data Science teamBehavioral Interview + Culture w/ CEO or Head of Product/Ops-2025-03-04
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