About the role
Intern – ML/AI Engineer (Product Engineering, STPG) role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
IDMOnsiteSTPG
Key Responsibilities
- What You Will Learn & Do
- Assist in building predictive models for yield, reliability, and test‑time optimization using structured/tabular data.
- Support model evaluation, validation, and feature engineering workflows.
- Help develop AI agents that automate engineering tasks such as report generation, data processing, anomaly detection, or test program checks.
- Work with cross‑functional teams to understand data sources and how they feed into ML/AI pipelines.
- Identify potential areas where AI can improve test efficiency, yield, or engineering productivity.
Requirements
- Pursuing a Bachelor's or Master's degree in: Computer Science Electrical/Electronic Engineering Data Science / Analytics or related technical field Core Skills (Good to Have, Not All Required)
- Basic Python knowledge (Pandas, NumPy, Scikit‑learn).
- Familiarity with ML concepts for structured data (regression, decision trees, feature engineering).
- Interest in AI agents, LLMs, or workflow automation.
- Bonus Skills (Nice-to-Have Exposure)
- Experience with TensorFlow/PyTorch for image/text/log data.