Time since we first saw it
Day 7
Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Intern Data Scientist
Reads like a ML Engineer role: putting models into production.
Taipei, Taipei, Taiwan
Actively hiring, first seen by us 7 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingIntegrate deployable machine learning models into end products
Clean, validate and verify data used for analysis and model training
Train and retrain AI systems and fine-tune models using statistical tests
Test and validate AI solutions to find and fix defects before deployment
Support AI DevOps work across development, testing, deployment and monitoring
From the employer’s posting
Integrates deployable versions of machine learning models developed by data scientists into end products
Handles data processing activities, including data cleansing, validation, and verification
Performs statistical analysis and fine-tuning of AI models using test results, hypothesis testing, and validation techniques
conducting thorough testing, validation, and verification activities to identify and address defects, errors, and performance issues before deployment
Collaborates extensively on AI DevOps activities, leveraging multiple tool sets at the solution level to streamline development, testing, inference, deployment, and monitoring processes
What you’ll bring
All qualificationsCore experience
- Master's or PhD candidate in computer science, data science, AI, statistics or related field
- Experience with data processing, data analytics, or AI modeling
Qualification wording
Master or PHD candidate in Biomedical Engineer, Computer Science, Information Management, Data Science, Artificial Intelligence, Applied Mathematics, Statistics or equivalent
Experience with Data processing, Data Analytics, AI Modeling or equivalent
Tools in this posting
- C
- C++
- Java
- Python
- R
Source — Tool mentions in context
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
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 20267 days ago
- Recorded sightings
- 13
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Philips is hiring
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordYour next step
Check the employer’s posting for the current role and application details.
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Taipei, Taipei, Taiwan
This passage needs a closer read in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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