AI Engineer
えーあいえんじにあ
Industry & Occupation
Classification
Summary
Technical role involving the design, development, and operation of systems using artificial intelligence technology.
Description
AI Engineers use machine learning and deep learning algorithms to build and evaluate models from data, and integrate them into systems and services. They handle the full lifecycle, including data preprocessing, feature engineering, model training and tuning, deployment, and operation and monitoring. They are required to understand business requirements, propose effective solutions, and stay updated with the latest technologies.
Future Outlook
With the advancement of AI technology and corporate DX initiatives, demand will continue to expand. Areas such as ethics, explainability, and AI governance will also increase in importance.
Personality Traits
Work Style
Contract Development / Flextime / In-house Development / Remote / Research Institute Work
Career Path
Junior AI Engineer → Senior AI Engineer → Lead AI Engineer → AI Architect → AI Project Manager
Required Skills
Basic Knowledge of Statistics and Mathematics / Data Analysis / Machine Learning Frameworks / Programming Languages
Recommended Skills
Cloud Platforms / Container Technology / MLOps / Reading English Documents
Aptitudes (Strengths Preferred)
| Item | Description |
|---|---|
| Adaptability | Need to quickly adapt to new algorithms and tools. |
| Analytical & Logical Thinking | Essential for extracting features from large-scale data and designing models. |
| Attention to Detail & Accuracy | Because minute errors in data preprocessing or model evaluation affect accuracy. |
| Learning Agility & Knowledge Acquisition | Technology evolves rapidly, requiring continuous learning. |
| Numerical & Quantitative Analysis | Understanding of statistics and mathematical optimization algorithms is important. |
| Problem Solving | Hypothesis testing and adjustment are required to solve complex problems. |
Aptitudes (Weaknesses Acceptable)
| Item | Description |
|---|---|
| Physical Stamina & Endurance | Mainly desk work, with low physical demands. |
Related Qualifications
- E Qualification (JDLA)
- Fundamental Information Technology Engineer
- G Qualification (JDLA)
Aliases
- AI Specialist
- Artificial Intelligence Engineer
- Machine Learning Engineer
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- Data Analyst
- Data Scientist
- Machine Learning Engineer
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