Innovative AI Leader

2 weeks ago

ajmer, India beBeeMachineLearningEngineer Full time

About the RoleCome collaborate at the intersection of AI and finance.We're on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.Our AI-powered data and analytics platform is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending.By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, we capture data from financial documents with over 99% accuracy.Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system.We work with numerous leading organizations.Your PositionYou'll be a technical leader who helps shape the future of our machine learning systems.This role entails strategic responsibility in determining the company's Machine Learning infrastructure, system architecture, and deployment protocols.You will collaborate across teams to design, scale, and refine models that power core features — from document understanding and OCR to complex NLP and decision intelligence.This position involves the design of scalable Machine Learning solutions, mentorship of engineering personnel, and contribution to the technical and organizational advancement of the AI stack.Main ResponsibilitiesLead the Design and Architecture: Develop the design and architecture of robust, scalable machine learning systems that are primed for seamless deployment into production.Enhance Productivity: Design and implement essential machine learning infrastructure and tools that support multiple teams, streamlining workflows and improving efficiency across the organization.Solve Complex Infrastructure and ML Problems: Address complex infrastructure and machine learning challenges that span the organization. Analyze systems to identify and rectify bottlenecks, inefficiencies, and areas for improvement.Drive Model Evaluation and Optimization: Develop model evaluation frameworks, optimize data pipelines, and implement continuous training strategies to ensure that models remain accurate and up-to-date.Apply ML Expertise to Fintech: Leverage state-of-the-art machine learning models within the fintech domain to automate and enhance document processing.Collaborate Across Teams: Work closely with stakeholders from Product, Engineering, and Operations to ensure that goals are aligned and that execution is coordinated and effective.Mentor and Guide Engineers: Provide mentorship to engineers within both ML and platform teams, fostering their professional development and contributing to the overall growth of technical expertise.

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