Support in building and improving an evaluation algorithm that learns from past human decisions to assess the quality of new AI suggestions and identify when human review is required.
The role focuses on enabling AI capabilities within Infineon’s manufacturing operations to drive cost reduction and efficiency improvements. By understanding business requirements and developing scalable solutions, the intern will help deploy AI models on cloud platforms to optimize production processes.
Accelerate your leadership by managing a multidisciplinary team of AI engineers and software developers, improving capability through coaching and structured feedback.
Define and maintain the enterprise AI platform architecture, technology roadmap and reference architecture for the Central AI Kitchen (CAK) or equivalent AI platforms.
Define quality standards for video generation across aesthetics, realism, composition, motion, temporal consistency, instruction following, subject consistency, editing preservation, and text rendering.
You will set the reliability standards for Enterprise AI, defining Service Level Objectives (SLOs), error budgets, and custom incident response runbooks.
Translate demand into infrastructure requirements. Work with AI business and platform teams to define compute capacity, network bandwidth and latency, connectivity, data access, scalability, availability, and operational needs. Convert these into supplier requirements, evaluation criteria, delivery milestones, and acceptance criteria.
Design, develop and evaluate machine learning and deep learning models for forecasting, classification, anomaly detection, optimisation and predictive diagnostics.
Drive strategic planning, governance, and stakeholder management by developing and implementing a roadmap for AI and GenAI initiatives, establishing governance frameworks and policies, monitoring compliance, and engaging with business leaders, IT teams, and other stakeholders to promote the benefits of AI technologies.