{"schemaVersion":"jobsearcher.job.v1","id":"9b72e0092d7c4b421f766b22","url":"https://jobsearcher.com/jobs/9b72e0092d7c4b421f766b22","canonicalUrl":"https://jobsearcher.com/jobs/9b72e0092d7c4b421f766b22","title":"M/L Data Engineer - Python & Computer Vision @ Mclean, VA(Local Only)","description":"Role: M/L Data Engineer - Python & Computer VisionLocation: Mclean, VA(Local Only)Exp: 10+ years$80/hour on W2Contract 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 EngineeringDevelop, enhance, and maintain code that supports computer vision model output processing, image extraction, metadata generation, and validation workflowsWork with image-based model outputs, bounding boxes, labels, confidence scores, extracted attributes, and structured metadata to support downstream review and analysisBuild reusable utilities for parsing, transforming, validating, and comparing computer vision outputs across model versions and production-style runsApply strong Python coding practices to automate testing, issue detection, data preparation, and model-output quality checksProduct & QC Workflow EnablementSupport product capabilities that allow users to review, validate, correct, and quality check model-generated outputsTranslate computer vision models output into user-facing review patterns, QC screens, exception workflows, and validation experiencesPartner with UI developers, product owners, and business users to define practical capabilities for model-output inspection and operational reviewTest Data, Validation & Quality EngineeringCreate and manage representative test datasets for image extraction, metadata validation, regression testing, and model performance reviewPerform structured testing of model runs across historical and current datasets to identify extraction gaps, metadata issues, formatting errors, and quality concernsValidate extracted images, image classifications, and metadata against original PDFs, appraisal reports, and other authoritative source documents to confirm completeness, accuracy, and traceabilityDocument defects with clear evidence, expected results, actual results.Retest remediated issues and contribute to repeatable quality gates for model-output readinessData 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 consumptionSupport loading and validation of model outputs as JSON Variant or similar semi-structured data formatsEnsure extracted image attributes, metadata, and model-output payloads are traceable, consistent, and accessible for analysisCross-Functional Delivery & Technical Problem SolvingCollaborate across product management, model development, UI engineering, data engineering, research, business, and delivery teams to operationalize computer vision capabilities within data-driven productsInvestigate technical issues across image inputs, model outputs, metadata payloads, data loads, and user-facing QC workflowsCommunicate progress, risks, blockers, and technical findings clearly to engineering partners and business stakeholdersRequired QualificationsComputer 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 frameworksStrong ability to process image files, extracted labels, model predictions, confidence scores, annotations, bounding boxes, and metadata payloadsExperience writing modular, maintainable code for automation, validation, transformation, testing, and troubleshooting","company":"AceStack","rawCompany":"acestack","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T08:32:00.945Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"M/L Data Engineer - Python & Computer Vision @ Mclean, VA(Local Only)","description":"Role: M/L Data Engineer - Python & Computer VisionLocation: Mclean, VA(Local Only)Exp: 10+ years$80/hour on W2Contract 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 EngineeringDevelop, enhance, and maintain code that supports computer vision model output processing, image extraction, metadata generation, and validation workflowsWork with image-based model outputs, bounding boxes, labels, confidence scores, extracted attributes, and structured metadata to support downstream review and analysisBuild reusable utilities for parsing, transforming, validating, and comparing computer vision outputs across model versions and production-style runsApply strong Python coding practices to automate testing, issue detection, data preparation, and model-output quality checksProduct & QC Workflow EnablementSupport product capabilities that allow users to review, validate, correct, and quality check model-generated outputsTranslate computer vision models output into user-facing review patterns, QC screens, exception workflows, and validation experiencesPartner with UI developers, product owners, and business users to define practical capabilities for model-output inspection and operational reviewTest Data, Validation & Quality EngineeringCreate and manage representative test datasets for image extraction, metadata validation, regression testing, and model performance reviewPerform structured testing of model runs across historical and current datasets to identify extraction gaps, metadata issues, formatting errors, and quality concernsValidate extracted images, image classifications, and metadata against original PDFs, appraisal reports, and other authoritative source documents to confirm completeness, accuracy, and traceabilityDocument defects with clear evidence, expected results, actual results.Retest remediated issues and contribute to repeatable quality gates for model-output readinessData 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 consumptionSupport loading and validation of model outputs as JSON Variant or similar semi-structured data formatsEnsure extracted image attributes, metadata, and model-output payloads are traceable, consistent, and accessible for analysisCross-Functional Delivery & Technical Problem SolvingCollaborate across product management, model development, UI engineering, data engineering, research, business, and delivery teams to operationalize computer vision capabilities within data-driven productsInvestigate technical issues across image inputs, model outputs, metadata payloads, data loads, and user-facing QC workflowsCommunicate progress, risks, blockers, and technical findings clearly to engineering partners and business stakeholdersRequired QualificationsComputer 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 frameworksStrong ability to process image files, extracted labels, model predictions, confidence scores, annotations, bounding boxes, and metadata payloadsExperience writing modular, maintainable code for automation, validation, transformation, testing, and troubleshooting","datePosted":"2026-09-15T08:32:00.945Z","dateModified":"2026-09-15T08:32:00.945Z","hiringOrganization":{"@type":"Organization","name":"AceStack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9b72e0092d7c4b421f766b22"},"url":"https://jobsearcher.com/jobs/9b72e0092d7c4b421f766b22"}}