Identify and prioritize AI opportunities: Understand user needs and pain points across onboarding, employee services, performance management, and other People workflows. Shape product direction and priorities based on business value, user impact, and technical feasibility.
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.
At Digital Place Vision (DPV), we’re a team of Visionaries on a mission to light up the retail world with intelligent AI. We're not just about tech; we’re all about seeing the future of retail and making it happen today. From smarter operations to better decisions, we’re here to turn your retail challenges into opportunities for growth.
The student, as part of the Electrical Failure Analysis (EFA) team and under the guidance of an assigned mentor, will undertake projects working on Infineon's flagship TriCore-based Automotive Micro-controllers.
Lead the full product lifecycle for conversational AI agent products — from problem discovery and solution design through to launch, iteration, and performance optimization.
Shape identity and AI security: Review and improve policies, standards, reference architectures and control requirements in line with the threat landscape, regulatory obligations and industry practices.
Learn and deeply understand the core features, target users, and usage scenarios of multiple AI tools (e.g., writing, image, voice), and conduct prompt design and iterative tuning based on real-world workflows.