ackfill Role – Open for Relocation Candidates as well. Position Title: M/L Data Engineer - Python & Computer Vision
Location: Mclean, VA
Duration: 6-12 Months Contract
Job Description:
True must-haves:
Strong, recent, hands-on Python coding
SQL and Snowflake
Image processing or computer-vision output experience
OpenCV or Pillow; PyTorch/TensorFlow exposure is relevant
JSON and semi-structured data
Data modeling and data engineering
Validation of extracted images, attributes, and metadata against source documents
Root-cause analysis and ability to fix extraction, metadata, and output issues
Mortgage, appraisal, collateral, or closely related financial-domain experience
Ability to work onsite in McLean for a short-term contract
Important clarification:
The resource will not primarily build or train computer-vision models. The person will:
Prepare model inputs and process model outputs
Extract property images from appraisal PDFs
Generate and validate attributes and metadata
Associate images with the correct property and loan
Load or support data in AWS S3, Snowflake, and a vector database
Compare extracted information with original source documents
Investigate discrepancies and determine root causes
Fix extraction, metadata, and downstream-data problems
Partner with modelers when the problem is inside the model
Work mainly with data-engineering and modeling teams
Notebook experimentation and model-training experience are advantageous but secondary.
Best candidate profile:
Production-level Python
OpenCV/image extraction
SQL, Snowflake, JSON, and AWS S3.
Model-output validation and reconciliation.
Mortgage/appraisal data knowledge.
Fannie Mae or Freddie Mac experience.
Some AI or computer-vision model familiarity.
Strong expertise in Python, SQL, Image analytics, data modeling, and snowflake. Financial / mortgage background is required.
Position Overview:
We are seeking a hands-on Data Scientist with strong Python and Computer Vision skills to design, build, test, and operationalize capabilities that convert image-based content and model outputs into usable, reviewable, and analytics-ready data products. This role requires strong software engineering fundamentals, computer vision coding experience, data engineering skills, and the ability to partner across product, modeling, engineering, research, and business teams. The Data Scientist will contribute to capabilities for image extraction, metadata generation, model-output validation, quality review enablement, and downstream structured data integration. The role is expected to balance Python development, testing, analytical troubleshooting, and delivery execution to help users review, validate, and act on computer vision outputs.
Key Responsibilities:
Computer Vision Development & Model Output Engineering
Develop, enhance, and maintain code that supports computer vision model output processing, image extraction, metadata generation, and validation workflows
Work with image-based model outputs, bounding boxes, labels, confidence scores, extracted attributes, and structured metadata to support downstream review and analysis
Build reusable utilities for parsing, transforming, validating, and comparing computer vision outputs across model versions and production-style runs
Apply strong Python coding practices to automate testing, issue detection, data preparation, and model-output quality checks
Product & QC Workflow Enablement
Support product capabilities that allow users to review, validate, correct, and quality check model-generated outputs
Translate computer vision models output into user-facing review patterns, QC screens, exception workflows, and validation experiences
Partner with UI developers, product owners, and business users to define practical capabilities for model-output inspection and operational review
Test Data, Validation & Quality Engineering
Create and manage representative test datasets for image extraction, metadata validation, regression testing, and model performance review
Perform structured testing of model runs across historical and current datasets to identify extraction gaps, metadata issues, formatting errors, and quality concerns
Validate extracted images, image classifications, and metadata against original PDFs, appraisal reports, and other authoritative source documents to confirm completeness, accuracy, and traceability
Document defects with clear evidence, expected results, actual results. Retest remediated issues and contribute to repeatable quality gates for model-output readiness
Data Integration, JSON Engineering & Analytics Readiness Develop scripts and data pipelines that convert model outputs into structured and semi-structured formats suitable for research, analytics, and downstream consumption
Support loading and validation of model outputs as JSON Variant or similar semi-structured data formats
Ensure extracted image attributes, metadata, and model-output payloads are traceable, consistent, and accessible for analysis
Cross-Functional Delivery & Technical Problem Solving
Collaborate across product management, model development, UI engineering, data engineering, research, business, and delivery teams to operationalize computer vision capabilities within data-driven products
Investigate technical issues across image inputs, model outputs, metadata payloads, data loads, and user-facing QC workflows
Communicate progress, risks, blockers, and technical findings clearly to engineering partners and business stakeholders
Required Qualifications
Computer Vision Coding & Software Engineering Hands-on experience coding computer vision or image-processing solutions using Python and common libraries such as OpenCV, Pillow, PyTorch, TensorFlow, or similar frameworks
Strong ability to process image files, extracted labels, model predictions, confidence scores, annotations, bounding boxes, and metadata payloads
Experience writing modular, maintainable code for automation, validation, transformation, testing, and troubleshooting
Information
Locations Position Open to Prefer locals but will consider non localsIndustry OthersStatus OpenJob Age 10 Day'sCreated Date 09/11/2026No.of Positions 1Duration 12 monthsZip Code
