- ML 架構設計與決策
- ML 模型開發 / 改善 /維運
Work with team members to develop and implement AI projects. Research, test, review, provide feedback, create AI/ML/RPA-related projects.
- Master data analysis/cleansing and other data science technologies to understand data and design model architecture.
- Identify and select AI/ML technologies to solve problems.
- Deploy and integrate AI models into back-end servers and build up front-end interfaces.
- Work with AI team members to build up AI or ML MVP prototypes for idea validation
- Implement and deploy successful AI models
- Maintain and optimize existing AI models to achieve better results, such as lower resource usage and better performance
- Stay up to date in current technologies and state of the art methods for in house application.
- Collect and arrange specialized data for training and validation purposes
- Degree in computer science or statistics
- At least 1 year experience of Python development
- At least 1 year experience of AI development; familiar with at least one AI/ML Framework, ex: Keras
- Passionate about researching AI, familiar with new AI/ML technologies
- Deep experience in Artificial Intelligence and machine learning.
- Thrive in an agile development process
- Look forward to joining a high caliber team of machine learning experts.
- You’re self-driven and set high expectations for yourself
- You take ownership and sweat the small stuff
- You thrive on constructive feedback
- You insist that facts drive decisions
- You deliver results that matter
- Sharp, motivated co-workers in a fun office environment.
- Able to communicate freely in both English and Mandarin with your team.
- Machine Learning/Artificial Intelligence
- Data mining
- Deep learning, artificial neural network
- Tree search techniques
- Reinforcement learning
- Game theory
- Robotic process automation (RPA) workflow automation
- 打造企業內 ML 系統經驗，並且有使用在商業產品上
- 熟悉任一 ML OpenSource 工具，如 tensorflow
- 熟悉任一程式語言 (e.g., C#, Python, C++)
- 對 ML 工作抱有高度熱忱