AI Innovation Leader

1 week ago


kolkata, India beBeeMachine Full time

Role SummaryCome build at the intersection of AI and fintech.We are on a mission to 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.We integrate state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, capturing data from financial documents with over 99% accuracy.We achieve greater efficiency in risk management, providing expanded access to credit—and ultimately creating a more inclusive financial system.Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—we stand at the forefront of AI innovation in fintech.About This RoleThis high-impact role entails strategic responsibility for 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.You will spearhead the design of scalable Machine Learning solutions, mentorship of engineering personnel, and contribution to the technical and organizational advancement of the AI stack.Key ResponsibilitiesSpearhead the Design and Architecture: Lead 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: Lead the development of 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 Ocrolus’ technical expertise.Contribute to Engineering Standards: Play an active role in shaping Ocrolus-wide engineering standards, participate in design reviews (RFCs/ADRs), and promote adherence to best practices.



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