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Lead quantum computing research initiatives and build a Center of Excellence focused on quantum algorithms and applications to payments, security, and financial systems.
Lead quantum computing research programs focused on financial services applications, developing algorithms and prototypes while coordinating cross-functional stakeholders.
Lead a team of applied scientists and ML engineers building AI/ML solutions and autonomous agentic workflows for a CRM platform, bridging research and production systems.
Lead a team of AI/ML scientists and engineers to develop production AI/ML solutions, autonomous agentic workflows, and LLMOps infrastructure for a CRM platform.
Lead a team of applied scientists and ML engineers building AI/ML solutions and autonomous agentic workflows for a CRM platform, bridging research and production systems.
Lead a team of applied scientists and ML engineers to develop AI/ML solutions and autonomous agentic workflows for a CRM platform, bridging research and production systems.
Lead a team of applied scientists and ML engineers to design and ship AI/ML solutions for CRM data extraction, agentic workflows, and LLMOps strategy.
Lead a team of Applied Scientists and AI/ML Engineers to develop and deploy AI/ML solutions for CRM data extraction, agentic workflows, and LLMOps infrastructure.
Lead a team of applied scientists and ML engineers building AI/ML solutions for a CRM platform, including agentic workflows, LLMOps strategy, and production data products.
Lead AI/ML strategy and mentor applied scientists and engineers building autonomous agentic workflows and LLM-based solutions for a CRM platform.
Lead development and innovation of machine learning models for personalized outfit recommendations, managing the full lifecycle from research through deployment.
Lead a data science team building ML models for fraud detection and risk assessment, mentoring researchers while maintaining hands-on involvement in production systems.
Lead a data science team developing ML models for fraud detection and risk assessment, while mentoring team members and maintaining hands-on involvement in production projects.
Lead a data science team building ML models for fraud detection and risk assessment, mentoring scientists while contributing hands-on to production systems.