AIoT Engineer for Facilities - Taichung - Fab 16, Taiwan
Originally posted 16 September 2026 by the employer — open 3 days.
About the role
This role focuses on designing and implementing enterprise-level AI model management processes for factory utility equipment maintenance scenarios, aiming to build sustainable smart maintenance solutions.
What you'll do
- Collaborate with cross-functional teams to transform data science outcomes into practical intelligent services.
- Design and train machine learning/deep learning models, ensuring performance and interpretability.
- Develop model service APIs to support system integration and real-time applications.
- Introduce and establish model management and deployment processes (MLOps) to ensure stable operation and regular updates.
- Stay updated with the latest AI technologies, write technical documentation, and promote internal knowledge sharing.
What you'll need
- Master’s degree or above in Computer Science, Statistics, Electrical Engineering, Mechanical Engineering, Artificial Intelligence, or related fields.
- At least 2 years of experience in data science or machine learning.
- Skilled in Python and ML/DL frameworks (scikit-learn, PyTorch, or TensorFlow).
- Experience in model service development and containerization (FastAPI, Docker).
- Understanding of ML pipeline or MLOps concepts, capable of planning and introducing processes suitable for enterprise environments.
Skills: machine learning, deep learning, MLOps, Python, PyTorch
This role has been open 3 days — well below the 65-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
518
|
Median days open
65 d
|
Median salary
$229k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Micron Technology | All employers we track in this specialty (518 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 32 | 518 |
| Open roles in the wider Software, Firmware & Systems family | 258 | 5796 · 143 employers |
| Median days open | 37 d | 65 d (−28 d vs this employer) |
| Median salary (USD postings) | — | $229k |
Skills observed across this category: machine learning, deep learning, MLOps, Python, PyTorch
Who's hiring in this category
- Qualcomm · 106 open roles · median 97 d
- NVIDIA · 85 open roles · median 65 d
- AMD · 43 open roles · median 60 d
- Micron Technology (this employer) · 32 open roles · median 37 d
- Mobileye · 25 open roles · median 51 d
- Analog Devices · 14 open roles · median 22 d
How we counted: 518 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 19 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.