Senior Machine Learning Engineer -- 資深機器學習工程師

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. A proven track record of building AI projects over the past five years is essential.

Job Responsibilities:

• Drive end-to-end ML projects from data engineering, machine learning model development/data analytics to deployment.
• Scope end-to-end requirements to ensure an efficient implementation of AI products.
• Work with the team to scope AI use cases and make sure that data is made available for analysis, articulate the needs of data scientists in the early stage of the project.
• Monitor AI project deployments, proactively identify risks, and coordinate with relevant parties to resolve issues. 
• Work with the engineering team to design, execute, and monitor product experiments.
• 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 6 - 10 years of working experience relevant to the field of data science.
• At least 3 - 5 production AI project experience with significant tasks and responsibilities.
• Solid understanding on machine learning pipelines and how cross functional teams leverage AI Models.
• 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 ranging from deep learning algorithms to statistical machine learning approaches.
• 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.
• Familiarity with SQL, non-relational database.
• Experiences in data and model versioning, model tracking.

Technical Interview with Data Science
Take Home Assignment
Technical Interview with CTO
Behavioral Interview + Culture with CEO/Product