AI Engineer: Graph-Driven Spare Parts Planning

KLA; Ann Arbor (MI); On-site; USD 140,000 - 200,000; Full time

Job summary

KLA in Ann Arbor is seeking a skilled AI/ML engineer to build and deploy predictive models and internal tools for spares planning. You will design graph-based representations of spares, parts, tools, and configurations, and deliver self-serve analytics that influencers across planning teams rely on.

You will collaborate with SMEs to validate model behavior, implement robust data pipelines, and ensure tools are usable and explainable in an enterprise setting.

Qualifications

• Strong Python skills for data and ML development.
• Experience building customer demand prediction models or operational decision problems.

Responsibilities

• Build AI tools that planners actually use to operationalize analytics for spares planning decisions.
• Design and implement graph databases to represent spares demand, parts, tools, configurations and signals.
• Develop predictive ML models for demand forecasting and planning signals.
• Productionize tools with testing, monitoring, and documentation for enterprise use.

Skills

Python

ML/AI development

Graph databases

SQL

Data pipelines

Stakeholder collaboration

Tools

APIs

Dashboards

Job description

KLA in Ann Arbor is seeking a skilled AI/ML engineer to build and deploy predictive models and internal tools for spares planning. You will design graph-based representations of spares, parts, tools, and configurations, and deliver self-serve analytics that influencers across planning teams rely on.

You will collaborate with SMEs to validate model behavior, implement robust data pipelines, and ensure tools are usable and explainable in an enterprise setting.