Neuro-Symbolic AI Manager - Synergyassure, Inc

[ad_1] Position OverviewWe are seeking few accomplished Neuro-Symbolic AI Manager to lead advanced research andproductization efforts in hybrid AI systems that combine machine learning with symbolic reasoning. Thisrole blends deep technical leadership with hands-on algorithm design, working at the forefront ofexplainable and high-performance AI solutions. Key Responsibilities1. Technical Leadership & StrategyDefine and drive the organization s neuro-symbolic AI roadmap in alignment with businessobjectives. Lead AI-driven initiatives from research concept through scalable production deployment. Mentor and guide multidisciplinary teams of AI researchers, engineers, and data scientists.2. Algorithm Design & ImplementationArchitect, develop, and optimize neuro-symbolic AI algorithms for mission-critical, real-world usecases. Implement and evaluate hybrid AI models using large, real-world datasets. Ensure efficient, clean, and well-documented code following industry best practices.3. Research & InnovationCollaborate with global research teams, academic institutions, and industry partners to advanceneuro-symbolic AI methodologies. Publish and present technical findings at top AI conferences and journals. Lead technical ideation to enhance and evolve existing AI solutions. Required QualificationsEducation: PhD in Computer Science, Artificial Intelligence, Data Science, or closely related field. Experience: Minimum 15 years in AI research, software development, and applied neuro-symbolic AI. Programming Expertise: Advanced proficiency in Python and Go, with hands-on experience usingneuro-symbolic AI toolkits such as PyG, PyKEEN, and PyTorch. Domain Knowledge:o Deep understanding of knowledge representation, symbolic reasoning, and machine learning.o Strong background in graph neural networks, probabilistic logic, and hybrid AI architectures. Leadership & Soft Skills: Proven track record leading large-scale AI initiatives, with exceptionalcommunication and cross-functional collaboration skills. Hands-on experience deploying AI systems on Azure. Familiarity with automated reasoning systems, logic programming, and explainable AI (XAI) principles. Experience with scalable microservices architectures for AI solutions. Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity. [ad_2] Apply to this job