Manager of Artificial Intelligence

Qualifications

• Education: PhDin Computer Science, Artificial Intelligence, Data Science,or a related field

• Experience: 15+years of experience in AI research, softwaredevelopment, and neuro-symbolic AI applications

• Programming Expertise:

• Strong proficiency in Python, Go, and related AI toolkits

• Experience with neuro-symbolic AI frameworks suchas PyG, PyKEEN, PyTorch

• Domain Knowledge:

• In-depth understanding of knowledgerepresentation, symbolic reasoning, and machine learning

• Strong grasp of graph neural networks,probabilistic logic, and hybrid AI models

• Technical & Soft Skills:

• Proven ability to lead AI-driven projectsfrom research to production

• Excellent communication and collaboration skillsto engage with multidisciplinary teams

Responsibilities

• AlgorithmDevelopment & Implementation:

• Design, develop, and optimize neuro-symbolic AI algorithms forreal-world applications

• Implement and evaluateAI models using real-worlddata

• Ensure clean, efficient, and well-documented implementation of AI solutions

• Research& Innovation:

• Lead technicaldiscussions and ideationto enhance existingsolutions

• Collaborate with global researchteams to advanceneuro-symbolic AI methodologies

• Leadership& Collaboration:

• Provide technicalmentorship to AI researchers, engineers, and data scientists

• Drive collaborations with academic and industry partnersfor AI advancements

• Shape AI strategies and innovation roadmapsfor product and service development

Full Description

Role: Neuro-Symbolic AI Manager Location: Austin, TX

Job Type: Contract

Rate: MarketRate (rate is not an issue for right candidate) In range

Customer – NVIDIA

Key Responsibilities:

• AlgorithmDevelopment & Implementation:

• Design, develop, and optimize neuro-symbolic AI algorithms forreal-world applications.

• Implement and evaluateAI models using real-worlddata.

• Ensure clean, efficient, and well-documented implementation of AI solutions.

• Research& Innovation:

• Lead technicaldiscussions and ideationto enhance existingsolutions.

• Collaborate with global researchteams to advanceneuro-symbolic AI methodologies.

• Leadership& Collaboration:

• Provide technicalmentorship to AI researchers, engineers, and data scientists.

• Drive collaborations with academic and industry partnersfor AI advancements.

• Shape AI strategies and innovation roadmapsfor product and service development.

Required Skills & Qualifications:

• Education: PhDin Computer Science, Artificial Intelligence, Data Science,or a related field.

• Experience: 15+years of experience in AI research, softwaredevelopment, and neuro-symbolic AI applications.

• Programming Expertise:

• Strong proficiency in Python, Go, and related AI toolkits.

• Experience with neuro-symbolic AI frameworks suchas PyG, PyKEEN, PyTorch.

• Domain Knowledge:

• In-depth understanding of knowledgerepresentation, symbolic reasoning, and machine learning.

• Strong grasp of graph neural networks,probabilistic logic, and hybrid AI models.

• Technical & Soft Skills:

• Proven ability to lead AI-driven projectsfrom research to production.

• Excellent communication and collaboration skillsto engage with multidisciplinary teams.