AI/ML Engineer

We are seeking an experienced AI Developer Document Intelligence & Validation to design, develop, and optimize intelligent document processing solutions that modernize Middle Office authorization workflows. This role will focus on building scalable AI-powered document ingestion, extraction, validation, comparison, and confidence-scoring capabilities for structured, semi-structured, and unstructured documents.

The ideal candidate has hands-on experience developing Document AI solutions, integrating LLMs into enterprise applications, and building robust validation frameworks while ensuring regulatory compliance, explainability, and auditability., * Design and develop intelligent document ingestion and classification pipelines for Authorization Certificates and other non-standard documents.

• Build OCR and template-based extraction solutions for structured forms and standardized documents.
• Develop AI/LLM-powered extraction capabilities for semi-structured and unstructured documents using modern NLP frameworks.
• Implement field-level and record-level confidence scoring to improve extraction accuracy and support automated decision-making.
• Design and develop validation frameworks using business rules, semantic matching, and fuzzy comparison techniques.
• Build AI-based comparison logic to:

Compare extracted data against source documents. *

• Perform post-load verification between Contact Master records and source documents.
• Develop and maintain REST APIs and microservices to integrate AI solutions with enterprise applications.
• Create JSON/XML schema mappings for document transformation and downstream processing.
• Integrate document processing workflows with Kafka and other messaging platforms.
• Handle exception management and human-in-the-loop workflows for low-confidence scenarios.
• Ensure solutions comply with enterprise standards for PII protection, audit controls, model explainability, and governance.
• Collaborate with business stakeholders, architects, QA teams, and platform engineers to deliver scalable AI solutions.
• Optimize AI models and processing pipelines for accuracy, performance, and maintainability.

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 3 6+ years of experience in AI/ML, Intelligent Automation, or Intelligent Document Processing.
• Hands-on experience building Document AI or Intelligent Document Processing (IDP) solutions.
• Strong experience with OCR technologies, PDF parsing, and document extraction platforms.
• Experience implementing confidence scoring, validation rules, and exception handling.
• Strong Python development skills.

Required Technical Skills

AI & Machine Learning

• Python
• Lanchain
• LangGraph
• Pydantic
• Large Language Models (LLMs)
• Prompt Engineering

Document Intelligence

• OCR
• Intelligent Document Processing (IDP)
• Document AI platforms
• PDF Parsing
• Template-based Extraction
• AI-based Information Extraction

Validation & Comparison

• Confidence Scoring
• Rule-based Validation
• Semantic Matching
• Fuzzy Matching
• Data Comparison Logic

Integration & Development

• REST APIs
• Microservices Architecture
• JSON/XML Schema Mapping
• Kafka
• API Integration

Enterprise Technologies

• Workflow platforms, * Experience in Financial Services, Banking, or other regulated industries.
• Experience integrating AI solutions with BOT/RPA platforms for downstream automation.
• Familiarity with Alfresco, ServiceView, or other enterprise content management platforms.
• Experience with cloud-based AI services (Azure AI Document Intelligence, AWS Textract, Gogle Document AI).
• Knowledge of MLOps, model monitoring, and CI/CD for AI applications.

Preferred Experience

• Designing enterprise-scale document intelligence solutions.
• Building AI-powered validation and reconciliation workflows.
• Developing scalable API-driven AI services.
• Working with high-volume document processing environments.
• Delivering explainable and auditable AI solutions in regulated environments.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced Agile environment.
• Strong collaboration skills across business and technology teams.
• Detail-oriented with a focus on accuracy and quality.