Data Scientist

Intel•Chandler, AZ

3d•Onsite

About The Position

Advanced Packaging Technology and Manufacturing (APTM) Yield Organization is looking for a Data Scientist who will work for manufacturing data analysis, assembly yield modeling and AL/ML, agentic AI system development. Responsibilities will include: Develop proof of concepts to demonstrate technical feasibility of predictive yield models and data analytics methodologies using AI/ML, agentic AI, and computer vision. Define and architect AI agents for yield modeling and manufacturing data analytics use-case, including frameworks for agent orchestration, multi-agent coordination, RAG, system deployment and continuous improvements. Work with yield analysts and business partners to understand manufacturing yield issues, and translate them into system requirements to deliver scalable solutions.

Requirements

Possess a bachelor's degree with 6+ years of relevant experience or master's degree with 5+ years of relevant experience or PhD degree with 3+ years of relevant experience in Computer Science or Data Science or any other Engineering discipline.
2+ years of experience with LLMs and autonomous AI system development using multi-agent framework (e.g. LangChain, LangGraph, AutoGen etc.), and RAG pipeline development using vector database.
2+ years of experience of applying AI/ML or agentic AI or deep learning/computer vision (e.g. PyTorch, TensorFlow, OpenCV), statistical methods to high volume data, and extracting insights to drive business decisions with quantifiable business impacts.
2+ years of experience in Python programming for frontend and backend system pipeline development including data parsing, ETL pipelines, UI development framework for data visualization (e.g. Streamlit, Flask), database integration with relational (e.g. MySQL, PostgreSQL) or NoSQL database (e.g. MongoDB) or API development (e.g. FastAPI).

Nice To Haves

Prior knowledge/experience in manufacturing and/or semiconductor industry and applying AI/ML to solve yield problems.
Understanding on Intel package assembly manufacturing data landscape.
Expertise with Git for version control and CI/CD pipeline for automated deployment.

Responsibilities

Develop proof of concepts to demonstrate technical feasibility of predictive yield models and data analytics methodologies using AI/ML, agentic AI, and computer vision.
Define and architect AI agents for yield modeling and manufacturing data analytics use-case, including frameworks for agent orchestration, multi-agent coordination, RAG, system deployment and continuous improvements.
Work with yield analysts and business partners to understand manufacturing yield issues, and translate them into system requirements to deliver scalable solutions.