Data Scientist
Core
Build and productionize machine learning models (classification and regression) to support predictive and prescriptive analytics across semiconductor test and manufacturing processes, and develop multi-agent systems for PQ workflows.
Role type
Machine Learning Engineer (Semiconductor Manufacturing)
Builds
Predictive analytics solutions, multi-agent AI systems, and productionized ML pipelines for semiconductor testing.
Domain
Semiconductor manufacturing and industrial automation
Deliverable
production ML models
Required skills
Python, Machine Learning (supervised/unsupervised), SQL, Git, Statistics, Feature Engineering
Preferred skills
Building interactive data applications/dashboards, RAG pipelines, Tool-using capabilities, Function calling, Agent memory systems
Technologies
Streamlit, PowerBI
Responsibilities
Develop maintainable code and analytical pipelines for high-volume manufacturing; Optimize for performance, latency, and token efficiency; Collaborate on testing, deployment, and monitoring; Identify, test, and share AI-enabled enhancements.
Seniority
Mid-level IC