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