AI/ML Engineer

Location- Charlotte, NC
Pay rate- 77-80/hr

Position Summary

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.

Key Responsibilities

• 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.

Required Qualifications

• 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


• Exception handling frameworks


• Human-in-the-loop workflows

Governance & Compliance

• PII/Data Privacy


• Model Explainability


• Audit Controls


• AI Governance

Nice-to-Have Skills

• 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.

There are benifits but you have to buy them from Collabera and no other added benifits Attached