OCR Project Lead

Company Profile:

Infinity IPS Founded in 2003, Infinity IPS is a mortgage industry leader in providing end-to-end services and solutions. We specialize in mortgage due diligence, pre-fund and post-close quality control, mortgage servicing reviews and loan brokering services. We are vetted by all 5 major rating agencies and hold 3rd position in due diligence market share for RMBS securitization. Our clients are financial entities including investment banks, commercial banks, mortgage companies, government agencies and mortgage insurers.

Post OCR Project Lead - US Mortgage Residential Loans - Work from Office

Location Kothrud Pune

Job Summary:

Lead and drive the design, development, and deployment of advanced OCR, AI/ML, and GenAI solutions for the classification and extraction of residential mortgage loan data-including seasoned, NQM, and QM loans.Harness large language models and generative AI to automate complex processes, ensuring accuracy, efficiency, and compliance in mortgage operations.

Key Responsibilities:

• Oversee end-to-end delivery of AI-powered OCR solutions for U.S. mortgage document classification and data extraction, ensuring high accuracy and automation for residential loans.
• Design and implement LLM/GenAI pipelines to automate document ingestion, classification, extraction, and validation across various loan types including seasoned, Non-QM (NQM), and QM loans.
• Collaborate with underwriting, compliance, and IT teams to integrate AI workflows into enterprise mortgage systems, ensuring seamless adoption and scalability.
• Lead data scientists, ML engineers, and business analysts through the full project lifecycle from requirements gathering to deployment and scaling of production-grade AI solutions.
• Ensure stable operation of document intelligence platforms, utilizing NLP/NLU tools for unstructured data extraction and quality control.
• Define and monitor key performance indicators (KPIs) for AI models; implement continuous improvement strategies through real-world feedback, error analysis, and retraining cycles.
• Manage project timelines, deliverables, and stakeholder communications while ensuring adherence to budgets, ethical standards, and regulatory frameworks.
• Oversee AI-based risk assessment, compliance automation, and model validation processes to meet current mortgage regulatory requirements.
• Continuously research and recommend next-generation AI tools and frameworks to enhance loan data management and drive operational excellence.

Desired Skills & Experience:

• Proven experience (5+ years preferred) in leading OCR, AI/ML, and GenAI projects in the U.S. mortgage lending domain, including deployment of LLM-based document processing systems.
• Deep hands-on expertise in Machine Learning, NLP/NLU, and Transformer-based LLMs, with practical knowledge of OpenAI, AWS Bedrock, Google Cloud GenAI, and similar platforms.
• Strong understanding of U.S. residential mortgage products, especially seasoned, Non-Qualified Mortgage (NQM), and Qualified Mortgage (QM) workflows.
• Expertise in AI-based classification and data extraction pipeline integration with mortgage origination, underwriting, and compliance systems.
• Solid background in project management, including team leadership, cross-functional coordination, and aligning technical AI solutions with business objectives.
• Experience in developing model validation protocols, implementing compliance checks, and adhering to data security and privacy standards in regulated environments.
• Strong communication, analytical, and problem-solving skills to effectively drive AI/ML initiatives in a business-critical setting.

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
• Project management certification such as PMP, Scrum Master, or equivalent (preferred but not mandatory).
• Hands-on experience with enterprise-grade OCR platforms and cloud-based AI/ML workflows (e.g., AWS, Azure, GCP).

• Solid understanding of U.S. mortgage regulatory standards, including guidelines from:

• CFPB (Consumer Financial Protection Bureau)

• Fannie Mae
• Freddie Mac