Define the long-term vision and technical roadmap for AI/ML adoption, ensuring alignment with the Organisation & R&D strategic goals.
Lead the deployment of IoT and AIML integrated technology solutions that enhance product value through predictive analytic insights.
Stimulate technology evaluation and Proof of Concept (POC) initiatives that accelerate R&D cycles and bring competitive advantage.
Design and specify the Embedded Products Software Architecture, including the selection of Wireless Technologies and Connectivity Protocols to support the AI/ML strategy.
Oversee the implementation of MLOps for continuous delivery and automation pipelines, ensuring AI models are reliably deployed and managed.
Instil a NPD quality focus by steering Design FMEA and Software FMEA at the initial stage for all critical AI/ML features as part of the new product development process.
Guide AI quality governance improvements through methodical identification of process gaps and lead efforts to bridge these gaps for internal and external customers.
Recruit, mentor, and lead high-performing teams of Data Scientists and ML Engineers, effectively building a high-caliber AI/ML team from scratch.
Lead technical initiatives and capability-building sessions that allow opportunities to upskill the technical team and ensure they perform at their full potential.
Ensure that processes are in place to achieve 100% functional specification traceability for new AI-enabled features.
Lead interactions with chip manufacturers and digital infrastructure vendors (ie. cloud storage)
