What are the responsibilities and job description for the AI/ML Engineer position at Data Wave Technologies Inc?
Job Title: AI/ML Engineer
Location: Charlotte, NC (Hybrid)
Duration: Long term
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.
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- 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.