Global AI Lead

Our Company is where we transform vision into reality. It's where ideas become technologies, and cutting-edge technologies become solutions for animal care and management. We support farmers by providing Real-Time actionable information to help them manage their herds. It provides pet owners with smart devices and data that give them a better understanding of their pets activity and health needs, enriching relationships. It helps conservationists safeguard natural environments and wildlife. Leveraging decades of Technological Research & Development experience across many markets, technologies and species, along with development environments and Quality Assurance procedures, we're always inventing new ways to look after the health and well-being of animals. Our decades of experience keep us ahead of the curve by leveraging advanced Technological Solutions from enhancing the precious bond between people and their pets, to advancing animal healthcare and wildlife preservation. Our Global AI Group is responsible for the research and development of all AI applications of our animal monitoring solutions. The group spreads across multiple geographies and businesses, such as Ruminants, Companion Animals, Swine and Aqua. Its a diverse group, comprised from multiple professions such as Algorithm Engineers, data Scientists, Animal research veterinarians, data annotators and an operational body. We master diverse technologies in signals, vision and data to provide comprehensive solutions, ranging from Embedded systems to on-premise and cloud solutions. Key Responsibilities:
* Develop and implement the global AI strategy for animal monitoring solutions across diverse segments, aligning initiatives with business objectives
* Lead and mentor a multidisciplinary team of AI professionals, creating an innovative and collaborative environment
* Oversee AI research initiatives and direct the development of applications, ensuring timely delivery while meeting real market needs
* Work closely with product management and engineering teams to integrate AI technologies into products and services, driving knowledge sharing across the organization
* Establish KPIs for AI projects, monitor progress, drive efficiency via tools and methodology adoption
* Report outcomes to senior management, ensuring transparency and informed decision-making