AI Research Scientist

• Conceptualize, prototype, and rigorously evaluate state-of-the-art AI/ML models, engineering them into scalable, low-latency production applications
• Design and implement modular libraries, testing frameworks, and scalable infrastructure for the quantitative research and deployment lifecycle
• Embed AI solutions into workflows across Equities, Fixed Income, and Multi-Asset strategies
• Provide hands-on technical leadership, set code quality standards, and advocate for software engineering and system reliability
• Partner with quantitative researchers, portfolio managers, and global engineering teams
• Represent the organization at industry conferences and contribute to open-source initiatives where appropriate
• Potentially take novel ML/AI models from experimentation into high-availability production environments
• Work with financial time-series data, massive structured datasets, portfolio analytics, distributed computing, cloud architectures, or HPC

Explore Software Engineer – Applied AI Research at Infotree Global Solutions. Review requirements and application details.