Senior Data Scientist / Machine Learning Engineer (Document Intelligence & OCR)

Remote • Posted 3 hours ago • Updated 3 hours ago
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Science
  • ML Expertise

Summary

Senior Data Scientist / Machine Learning Engineer (Document Intelligence & OCR)

Position Purpose

The Senior Data Scientist / Machine Learning Engineer will lead the design, development, and deployment of end-to-end Document Intelligence solutions for the U.S. Fish and Wildlife Service (USFWS). In this role, you will build robust document-ingestion, OCR, field-extraction, free-text remediation, and classification pipelines to process permits, certificates, and legacy records. A core focus will be implementing confidence-based human-review workflows and maintaining strict, precise source traceability across all extracted data points.

Key Responsibilities

  • Pipeline & OCR Engineering: Build and optimize end-to-end document processing pipelines, combining OCR, layout-aware models, and NLP techniques to extract structured fields and remediate unstructured free text from permits, certificates, and scanned legacy records.

  • Traceability & Bounding Box Mapping: Establish precise document-coordinate mapping (bounding boxes/character-level offsets) to map extracted fields back to original source documents for complete auditability.

  • Human-in-the-Loop Workflow Design: Design confidence-scoring mechanisms and route low-confidence or high-risk extractions to human-in-the-loop (HITL) review interfaces.

  • Model Evaluation & Threshold Tuning: Perform rigourous evaluation on labeled datasets, analyzing precision, recall, and edge cases to calibrate operational confidence thresholds.

  • Cloud Architecture & Data Modeling: Implement scalable processing pipelines using AWS cloud services, PostgreSQL/SQL databases, document data models, and RESTful APIs.

  • Security & Compliance: Ensure all solutions comply with federal security frameworks (FISMA, FedRAMP, NIST SP 800-53) and Privacy Act controls, designing explainable and auditable automated decisions.

Required Capabilities

  • Data Science & ML Expertise: Senior-level experience in applied machine learning/data science focused on OCR, document understanding, information extraction, NLP, or text classification.

  • Python & Evaluation Mastery: Advanced Python skills with demonstrated experience in model evaluation, precision/recall metrics, threshold calibration, and structured error analysis.

  • Traceable HITL Systems: Proven track record of building traceable, auditable human-review workflows for low-confidence AI predictions.

  • Data Systems & Integration: Strong working knowledge of SQL/PostgreSQL, semi-structured document models, API development, and cloud object storage (e.g., S3).

  • Governance & Security: Experience designing audit trails for automated decision systems and safeguarding sensitive or PII data.

Preferred Qualifications

  • Education: Bachelor’s degree or higher in Computer Science, Data Science, Machine Learning, Computational Linguistics, or a related quantitative field.

  • AWS Ecosystem: Hands-on experience with AWS AI/ML and serverless services, such as Textract, Bedrock, SageMaker, Lambda, S3, and DynamoDB (or federal cloud equivalents).

  • Government Document Processing: Prior experience extracting structured data from government forms, permits, environmental certificates, scientific publications, or historical scanned archive collections.

  • Advanced Document Understanding: Experience with layout-aware vision-language models, image preprocessing (deskewing, binarization, noise reduction), taxonomy alignment, entity linking, and MLOps practices.

  • Federal Compliance & Controls: Familiarity with FISMA, NIST SP 800-53, FedRAMP compliance, the Privacy Act, model explainability, and AI model risk management principles.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90929724
  • Position Id: 9100548
  • Posted 3 hours ago
Contact the job poster
Eshwar Chappali

Eshwar Chappali

Recruiter @ isolve technology inc
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