Join 9fin as an Applied AI Manager!At 9fin, we are revolutionizing the global debt markets — the largest asset class exceeding $145 trillion. Our innovative AI platform transforms fragmented data, PDFs, and manual workflows into a cohesive system that centralizes proprietary credit data, in-depth analysis, and high-impact workflows across the globe.Trusted by over 300 leading institutions, including major banks, asset managers, private equity firms, law firms, and advisory services, we are experiencing rapid growth, particularly in the US market, driven by our exceptional retention rates and deep integration into client workflows.As we reach a pivotal moment in our journey with a proven product-market fit and significant global demand, we invite you to be a part of our mission to become the go-to platform for debt market solutions worldwide.The Role:We are excited to expand our Data Science team! As an Applied AI Manager, you will harness cutting-edge technologies to develop data-driven products utilizing machine learning, computer vision, natural language processing, and more. You will lead the charge in applying AI across teams and products, creating large-scale AI systems while collaborating with top-tier researchers and engineers.Your daily responsibilities will include:Overseeing the design and implementation of sophisticated ML and GenAI systems, ensuring they are robust, scalable, and aligned with our business objectives.Leading the team through the end-to-end model development process, focusing on reproducibility and reliability from experimentation through deployment and monitoring.Making architectural decisions for data-intensive, AI-driven applications while balancing cutting-edge techniques with practical production readiness.Mentoring engineers of all levels, sharing best practices in software engineering, ML/AI, and cloud infrastructure.Collaborating cross-functionally with stakeholders to shape project roadmaps and deliver ambitious projects while maintaining a balance between technical innovation and execution.Promoting engineering excellence through best practices in coding standards, CI/CD processes, observability, and incident management, fostering a culture of technical rigor and continuous improvement.
Sep 25, 2025