Artificial Intelligence Engineer (Smart Manufacturing Automation)
About the Job
The AI Engineer will drive implementation of artificial intelligence and machine learning solutions to enhance semiconductor back‑end manufacturing operations. The role will involve close collaboration with manufacturing teams, data scientists, product and process engineers to identify opportunities and implement AI‑driven solutions that improve operational efficiency, quality, and yield. This position requires a strong understanding of AI / ML technologies, experience with semiconductor manufacturing, and a passion for applying data‑driven techniques to solve complex industrial problems.
Responsibilities
- Collaborate with cross‑functional teams and domain experts to identify opportunities for AI integration in workflows.
- Build and maintain ETL / ELT pipeline to OLAP system.
- Analyze large datasets from manufacturing equipment, sensors, and logs to enable effective machine learning applications.
- Lead proof‑of‑concept projects and pilot programs to demonstrate the value of AI applications in manufacturing settings.
- Develop and deploy AI / ML solutions for workflow automation, defect detection, yield improvement, process optimization, and predictive maintenance in semiconductor back‑end manufacturing processes.
- Provide technical documentation, training, and support to ensure seamless adoption of AI solutions by production teams.
- Monitor AI systems performance and implement enhancement.
- Stay updated with the latest advancements in AI / ML and propose innovative solutions applicable to semiconductor manufacturing.
Qualifications
Master’s or Ph.D. in Artificial Intelligence, Machine Learning, Data Engineering or related disciplines.Experience in advanced computer vision techniques, such as deep learning for image classification, segmentation and object detection.Experience in LLM, Context Engineering, RAG, Knowledge Graph and LLM fine‑tuning.Experience in AI model explainability, trustworthiness, and validation in industrial contexts.Knowledge of semiconductor back‑end manufacturing processes, including assembly, packaging, and testing.Experience in working with semiconductor manufacturing data, including sensor data, equipment logs, and MES data.Familiarity with industry standards and protocols (e.g., SECS / GEM standards for semiconductor equipment).Familiarity with data analysis tools and techniques.Proven track record of publications, patents, or conference presentations in AI / ML applications for manufacturing.Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Project Management
Industry : Semiconductor Manufacturing
#J-18808-Ljbffr