AI Engineer
Core
Architect and scale manufacturing data ecosystems, lead advanced analytics and modeling initiatives, and drive agentic workflows and intelligent automation to solve complex manufacturing problems.
Role type
Senior IC AI Engineer (Manufacturing Data Science)
Builds
Autonomous, AI-powered pipelines for data ingestion, feature engineering, model execution, and decision-making at scale.
Domain
Semiconductor manufacturing / Industrial AI
Deliverable
production ML models
Required skills
Agent-based systems, AI orchestration frameworks, workflow automation, statistical modeling, machine learning, data mining, Python, R, SQL, data architecture, semantic layers, digital twins, graph-based reasoning, optimization models, hypothesis framing, experiment design, KPI definition, visualization, cross-functional leadership, mentoring.
Preferred skills
Thought leadership in manufacturing data science, cross-domain knowledge (supply chain, quality, engineering), strategic alignment, end-to-end intelligent system design.
Responsibilities
Design and implement robust methods to ingest, consolidate, and analyze structured and unstructured data from diverse plant, supply chain, and engineering sources. Apply statistical, machine learning, and data mining techniques to solve complex manufacturing problems such as yield optimization, predictive maintenance, and constraint resolution. Build autonomous, AI-powered pipelines that orchestrate data ingestion, feature engineering, model execution, and decision-making at scale. Define and optimize data architecture including data acquisition strategies, semantic layers, and scalable data models that support real-time analytics, digital twins, and AI-driven manufacturing use cases. Partner closely with manufacturing operations, supply chain, and product engineering teams to define KPIs, uncover insights, and operationalize recommendations. Design algorithms, models, and automation pipelines leveraging SQL, Python, and modern data platforms to cleanse, integrate, and process large-scale industrial datasets. Collaborate with product, engineering, and operations teams to frame hypotheses, design experiments, and uncover deeper correlations that extend beyond current measurement systems. Translate complex analytical findings into clear, compelling narratives and visualizations that influence senior leadership decision-making and operational strategies.
Seniority
Senior, hands-on IC with leadership responsibilities
