Responsibilities:
• Conduct research on cutting-edge AI/ML algorithms and techniques.
• Collaborate with the engineering team to implement experimental AI methods into production.
• Develop algorithms related to NLP, RAG, generative models, and knowledge graphs.
• Continuously explore and validate new AI techniques for performance improvement.
• Work with lead data scientist to define research goals aligned with the AI roadmap.
Qualifications:
• PhD in Math, Physics, Economics, or related field with a strong research background in AI/ML.
• 5+ years of Strong programming skills in Python, R, and AI/ML frameworks. (can train)
• Knowledge of generative AI models, graph neural networks, or RAG models.
• Research experience in AI applications relevant to security, risk, and BI.
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