Senior AI – Data Science Engineer

• Lead development of advanced AI, Machine Learning, and Generative AI solutions that address critical semiconductor manufacturing and yield challenges.
• Drive adoption of AI technologies across MDCE and partner engineering organizations, enabling data-driven decision making and measurable business impact.
• Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery.
• Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root causes, and optimization opportunities.
• Design and implement scalable data pipelines, analytics frameworks, and AI infrastructure that enable robust and sustainable manufacturing analytics.
• Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology Development teams to solve complex semiconductor challenges.
• Establish best practices for AI model development, software quality, deployment, monitoring, and lifecycle management.
• Lead cross-functional technical initiatives and influence strategic AI roadmaps across multiple engineering organizations.
• Mentor engineers and contribute to the growth of Intel's technical AI and Data Science community.
• Support Intel Foundry's manufacturing excellence objectives through innovative applications of AI, machine learning, and advanced analytics.

Requirements

• Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field.
• 6+ years of industry experience in one or more of the following:
  Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics.
• Performing yield analysis, root-cause analysis, process engineering analytics, and Statistical Process Control (SPC).
• 5+ Years of Semiconductor industry experience with manufacturing, process, and yield-related challenges.
• Strong programming experience in Python and SQL including developing scalable data pipelines and production-quality analytical solutions.
• Experience leading cross-functional technical projects and driving business impact through data-driven solutions.

Core Competencies

Demonstrates expertise in developing and deploying AI and Machine Learning solutions within semiconductor manufacturing, focusing on yield analysis and data-driven decision making. Proficient in leading cross-functional teams and mentoring engineers to drive innovation and improve manufacturing processes.

Highest-signal resume keywords

• AI Solution Development
• Machine Learning Expertise
• Yield Analysis
• Python Programming
• Data Pipeline Development

ATS Optimization Keywords

Hard Skills

• Artificial Intelligence
• Machine Learning
• Data Science
• Advanced Analytics
• Statistical Process Control
• Root-Cause Analysis
• Process Engineering Analytics
• Large Language Model Applications
• Data Analysis
• Data Visualization

Soft Skills

• Mentoring
• Collaboration
• Leadership
• Influencing
• Communication

Industry Keywords

• Semiconductor Manufacturing
• Yield Challenges
• Process Integration
• Technology Development
• Data-Driven Solutions

Tools & Technologies

• SQL
• Data Analytics Frameworks
• AI Infrastructure
• Data Pipelines
• Manufacturing Analytics