Manager - Generative Ai And Deep Learning

Job summary
Unique opportunity to build, steer, manage and mentor a team of highly skilled Research Scientists, Applied AI Scientists, and Data Engineers.Drive the development of a Foundation Model on structured business data embedded in variety of business applications.Be accountable for the success, quality, and delivery of Machine Learning components.
Job seniority: mid-to-senior level
Responsibilities
• Collaborate with cross-functional teams including product management and design to define product requirements and ensure the timely delivery of high-quality software products.• Foster a culture of innovation, continuous improvement, and excellence in software development.• Act as a problem solver to address organizational and process challenges, leveraging technical expertise to bridge gaps, streamline operations, and facilitate smooth execution of partnership initiatives.• Maintain up-to-date knowledge of AI and Data Engineering trends and apply this expertise to improve team performance and product quality.• Contribute to thought leadership in a revolutionary new data modality for Foundation Models and Generative AI.
Requirements
• PhD or master's degree in computer science, Artificial Intelligence, or other relevant disciplines.• 10+ years of experience working as Data Scientist or similar roles, with experience in training large deep learning models and working with real-world data.• Expertise in Foundation and Transformer Models, with a strong understanding of Machine Learning algorithms and techniques, especially in relation to structured data application in business.• Deep understanding of issues and opportunities of applying Generative AI in a business context.• Demonstrated exceptional leadership, interpersonal and organizational skills, with responsibilities including setting and achieving team goals, delegating tasks, mentoring team members, and effectively managing and communicating within large, diverse teams.• Ideally, professional experience with Machine Learning on structured data such as in the ERP or CRM domain.