- 台北市, 台灣 台灣
Intern Data Scientist 工作, Philips 台北市, 台灣 公司招聘中 - Ricebowl
工作地点
职位描述
岗位职责
Job Title
Intern Data ScientistJob Description
Job Responsibilities:
- Collaborates extensively on AI DevOps activities, leveraging multiple tool sets at the solution level to streamline development, testing, inference, deployment, and monitoring processes with moderate complexity.
- Participates in discussions related to technical requirements, designs, and quality standards, providing inputs to ensure the robustness, scalability, and maintainability of AI solutions, working under direct supervision.
- Integrates deployable versions of machine learning models developed by data scientists into end products, ensuring compatibility, performance, and reliability of all system components.
- Handles data processing activities, including data cleansing, validation, and verification, to ensure the integrity and quality of data used for analysis and model training, with a focus on continuous improvement.
- Trains and retrains AI systems as necessary to adapt to changing data distributions, business requirements, and performance objectives, optimizing model performance through iterative refinement.
- Performs statistical analysis and fine-tuning of AI models using test results, hypothesis testing, and validation techniques to validate model assumptions, identify areas for improvement, and optimize model parameters.
- Contributes to activities within the on-site engineer team, providing the whole deployment plan and pipelines.
- Participates in the AI development process, working in pairing mode with equal team members, and actively contributing to requirements gathering, design discussions, code reviews, and quality assurance activities.
- Interacts with business, market, and IT stakeholders to formulate clear and actionable requirements for AI solutions, ensuring alignment with business goals, user needs, and technical capabilities.
- Ensures the quality of data and AI solutions developed, conducting thorough testing, validation, and verification activities to identify and address defects, errors, and performance issues before deployment.
Minimum required Education:
Master or PHD candidate in Biomedical Engineer, Computer Science, Information Management, Data Science, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.
Minimum required Experience:
Experience with Data processing, Data Analytics, AI Modeling or equivalent.
Preferred Experience:
Experience in using programming languages such as Python, R, JAVA, C/C++
Preferred Certification:
Artificial Intelligence Board of America (ARTiBA) certified
Preferred Skills:
- Troubleshooting
- Data Analytics
- Statistical Methods
- Data Harmonization & Processing
- Artificial Intelligence (AI)
- Scripting & Automation
- AI Algorithm Development
- DevOps
- Data Governance
- LLM deployment
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