DATA SCIENTIST, SMAI OI (AI Solutions Development)
Reads like a ML Engineer role: putting models into production.
Taichung City, TW
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingBuild AI assistants, natural-language interfaces, and other AI-enabled applications
Develop knowledge retrieval and document question-answering solutions
Integrate AI applications with databases, APIs, documents, reports, and logs
Develop backend services, workflows, dashboards, and user interfaces
Analyze structured and unstructured data to find patterns, risks, and insights
From the employer’s posting
Build AI assistants, natural-language interfaces, and other AI-enabled applications.
Develop knowledge retrieval and document question-answering solutions using modern AI technologies.
Integrate AI applications with databases, APIs, documents, reports, logs, and other enterprise data sources.
Develop backend services, workflows, dashboards, and user interfaces that support data-driven decision making.
Analyze structured and unstructured data to identify patterns, risks, opportunities, and useful insights.
What you’ll bring
All qualificationsCore experience
- Bachelor's, Master's, or PhD in CS, AI, Data Science, or a related field
- Hands-on experience building software, data-driven apps, or backend services
- Strong Python programming and working knowledge of SQL
- Experience with databases, APIs, documents, reports, logs, or other structured and unstructured data
- Experience with AI-enabled apps, or strong interest and ability to learn AI
Qualification wording
Bachelor’s, Master’s, or PhD degree in Computer Science, Artificial Intelligence, Data Science, Information Management, Industrial Engineering, Electrical Engineering, or a related field; equivalent practical experience may be considered.
Hands-on experience building software applications, data-driven applications, backend services, APIs, or full-stack solutions.
Strong programming experience in Python and working knowledge of SQL.
Experience working with databases, APIs, documents, reports, logs, or other structured and unstructured data.
Experience developing AI-enabled applications, or strong interest and demonstrated ability to learn and apply AI technologies.
Education & alternatives
Qualified candidates will have: * Bachelor’s, Master’s, or PhD degree in Computer Science, Artificial Intelligence, Data Science, Information Management, Industrial Engineering, Electrical Engineering, or a related field; equivalent practical experience may be considered. * Hands-on experience building software applications, data-driven applications, backend services, APIs, or full-stack solutions. * Strong programming experience in Python and working knowledge of SQL. * Experience working with databases, APIs, documents, reports, logs, or other structured and unstructured data. * Experience developing AI-enabled applications, or strong interest and demonstrated ability to learn and apply AI technologies. * Ability to break down complex or ambiguous problems into actionable steps. * Strong verbal and written communication skills. * Ability to work effectively with users, engineers, and cross-functional stakeholders. * Strong ownership, accountability, curiosity, and willingness to learn. * Ability to work on multiple tasks and make progress with minimal supervision. ## Preferred Qualifications
## Education Bachelor’s, Master’s, or PhD degree in Computer Science, Artificial Intelligence, Data Science, Information Management, Industrial Engineering, Electrical Engineering, or an equivalent field. Equivalent programming, application development, or AI solution experience may be considered. Job Profile(s):
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Docker
- GCP
Source — Tool mentions in context
Qualified candidates will have: * Bachelor’s, Master’s, or PhD degree in Computer Science, Artificial Intelligence, Data Science, Information Management, Industrial Engineering, Electrical Engineering, or a related field; equivalent practical experience may be considered. * Hands-on experience building software applications, data-driven applications, backend services, APIs, or full-stack solutions. * Strong programming experience in Python and working knowledge of SQL. * Experience working with databases, APIs, documents, reports, logs, or other structured and unstructured data. * Experience developing AI-enabled applications, or strong interest and demonstrated ability to learn and apply AI technologies. * Ability to break down complex or ambiguous problems into actionable steps. * Strong verbal and written communication skills. * Ability to work effectively with users, engineers, and cross-functional stakeholders. * Strong ownership, accountability, curiosity, and willingness to learn. * Ability to work on multiple tasks and make progress with minimal supervision. ## Preferred Qualifications
## Technologies and Practices * Python and SQL * Generative AI / LLM application development * RAG / knowledge retrieval * Vector databases / embeddings / semantic search * AI assistants / chat interfaces / tool calling * REST APIs and enterprise data integration * Backend and full-stack application development * Data processing and data visualization * Git, Docker, CI/CD, and cloud platforms * Automated testing, monitoring, logging, and application support ## Ideal Candidate Profile
Experience in the following areas is a plus: * Large language model or generative AI application development. * AI assistants, chatbots, document question answering, or knowledge retrieval. * Retrieval-Augmented Generation (RAG), embeddings, vector databases, or semantic search. * Prompt engineering, tool calling, agent workflows, or structured AI outputs. * Full-stack web development or modern frontend / backend frameworks. * RESTful APIs, backend services, data pipelines, or enterprise system integration. * Experience with data visualization, dashboarding, or other user-facing ways of presenting data and insights. * Cloud platforms such as Azure, AWS, or GCP. * Git, Docker, CI/CD, monitoring, logging, or production support. * Automated testing, testable feature design, or a DevOps mindset. * Manufacturing, semiconductor, industrial, engineering, or other complex enterprise domain experience. * Familiarity with digital twin, simulation, optimization, or decision-support concepts. * Experience using AI-assisted development tools to improve coding, troubleshooting, testing, documentation, or productivity. ## Technologies and Practices
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 24, 2026 · 6 days ago
- Recorded sightings
- 22
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Location & working pattern
Taichung City, TW
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