What are the responsibilities and job description for the Neuro-Symbolic AI Manager position at FutureTech Consultants LLC?
Job Details
Role: Neuro-Symbolic AI Manager Location: Austin, TX (Onsite)
Key Responsibilities: Algorithm Development & Implementation:
o Design, develop, and optimize neuro-symbolic AI algorithms for real-world applications.
o Implement and evaluate AI models using real-world data.
o Ensure clean, efficient, and well-documented implementation of AI solutions.
Research & Innovation:
o Lead technical discussions and ideation to enhance existing solutions.
o Collaborate with global research teams to advance neuro-symbolic AI methodologies.
Leadership & Collaboration:
o Provide technical mentorship to AI researchers, engineers, and data scientists.
o Drive collaborations with academic and industry partners for AI advancements.
o Shape AI strategies and innovation roadmaps for product and service development. Required Skills &
Qualifications: Education: PhD in Computer Science, Artificial Intelligence, Data Science, or a related field.
Experience: 15 years of experience in AI research, software development, and neuro-symbolic AI applications.
Programming Expertise:
o Strong proficiency in Python, Go, and related AI toolkits.
o Experience with neuro-symbolic AI frameworks such as .
Domain Knowledge:
o In-depth understanding of knowledge representation, symbolic reasoning, and machine learning.
o Strong grasp of graph neural networks, probabilistic logic, and hybrid AI models.
Technical & Soft Skills:
o Proven ability to lead AI-driven projects from research to production.
o Excellent communication and collaboration skills to engage with multidisciplinary teams.
Preferred Qualifications:
Hands-on expertise in cloud-based AI deployment (AWS, Azure, or Google Cloud Platform).
Familiarity with automated reasoning systems, logic programming, and explainable AI (XAI).
Key Responsibilities: Algorithm Development & Implementation:
o Design, develop, and optimize neuro-symbolic AI algorithms for real-world applications.
o Implement and evaluate AI models using real-world data.
o Ensure clean, efficient, and well-documented implementation of AI solutions.
Research & Innovation:
o Lead technical discussions and ideation to enhance existing solutions.
o Collaborate with global research teams to advance neuro-symbolic AI methodologies.
Leadership & Collaboration:
o Provide technical mentorship to AI researchers, engineers, and data scientists.
o Drive collaborations with academic and industry partners for AI advancements.
o Shape AI strategies and innovation roadmaps for product and service development. Required Skills &
Qualifications: Education: PhD in Computer Science, Artificial Intelligence, Data Science, or a related field.
Experience: 15 years of experience in AI research, software development, and neuro-symbolic AI applications.
Programming Expertise:
o Strong proficiency in Python, Go, and related AI toolkits.
o Experience with neuro-symbolic AI frameworks such as .
Domain Knowledge:
o In-depth understanding of knowledge representation, symbolic reasoning, and machine learning.
o Strong grasp of graph neural networks, probabilistic logic, and hybrid AI models.
Technical & Soft Skills:
o Proven ability to lead AI-driven projects from research to production.
o Excellent communication and collaboration skills to engage with multidisciplinary teams.
Preferred Qualifications:
Hands-on expertise in cloud-based AI deployment (AWS, Azure, or Google Cloud Platform).
Familiarity with automated reasoning systems, logic programming, and explainable AI (XAI).
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.
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