What are the responsibilities and job description for the Neuro-Symbolic AI Manager position at IT Trailblazers, LLC?
Job Details
Role: Neuro-Symbolic AI Manager
Location: Austin, TX
Job Type: Contract
Direct client
Key Responsibilities:
- Algorithm Development & Implementation: Design, develop, and optimize neuro-symbolic AI algorithms for real-world applications.
- Implement and evaluate AI models using real-world data.
- Ensure clean, efficient, and well-documented implementation of AI solutions.
- Research & Innovation: Lead technical discussions and ideation to enhance existing solutions.
- Collaborate with global research teams to advance neuro-symbolic AI methodologies.
- Leadership & Collaboration: Provide technical mentorship to AI researchers, engineers, and data scientists.
- Drive collaborations with academic and industry partners for AI advancements.
- 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: Strong proficiency in Python, Go, and related AI toolkits.
- Experience with neuro-symbolic AI frameworks such as PyG, PyKEEN, PyTorch.
- Domain Knowledge: In-depth understanding of knowledge representation, 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 projects from research to production.
- 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).
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