Data Scientist
Required skills
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, 2+ years of experience applying AI/ML or agentic AI or deep learning/computer vision, statistical methods to high volume data, 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, database integration with relational or NoSQL database or API development
Preferred skills
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
Technologies
LLMs, autonomous AI system development, multi-agent framework, LangChain, LangGraph, AutoGen, RAG pipeline development, vector database, AI/ML, agentic AI, deep learning, computer vision, PyTorch, TensorFlow, OpenCV, statistical methods, Python programming, frontend and backend system pipeline development, data parsing, ETL pipelines, UI development framework for data visualization, Streamlit, Flask, relational database, NoSQL database, MySQL, PostgreSQL, MongoDB, API development, FastAPI, Git, CI/CD pipeline
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
Seniority
Experienced Hire
Domain
Semiconductor manufacturing, AI/ML, data analytics, yield modeling, manufacturing data, agentic AI, computer vision
