Accelyst
Accelyst is an innovative AI Consultancy delivering secure, integrated, and ROI-focused technology solutions using AI, data, cloud, and modern engineering capabilities. We work with organizations to accelerate digital transformation and build scalable solutions that solve complex business challenges.
Job Summary
Accelyst is seeking a hands-on Computer Vision / Image Processing Developer to support an enterprise image-processing and analytics product. The ideal candidate will have strong Python development experience with expertise in computer vision, image processing, machine learning model outputs, metadata extraction, data validation, and analytics-ready data pipelines.
This role will focus on processing appraisal/property images, validating computer vision model outputs, extracting image metadata, troubleshooting data and model results, and integrating semi-structured image data into downstream analytics platforms.
Job Roles & Responsibilities
- Develop and maintain Python-based applications and data processing workflows for computer vision and image-processing use cases.
- Process and analyze appraisal and property images using computer vision and image-processing techniques.
- Work with computer vision model outputs including labels, bounding boxes, confidence scores, classifications, and metadata.
- Validate computer vision and machine learning model outputs for accuracy, completeness, consistency, and expected behavior.
- Develop automated validation and testing processes for image-processing and model-output pipelines.
- Use OpenCV, Pillow, PyTorch, TensorFlow, or similar frameworks for image processing and computer vision development.
- Extract, transform, validate, and structure image metadata and other semi-structured data for downstream analytics.
- Work with JSON and other semi-structured data formats to process and integrate model outputs.
- Develop and maintain SQL queries for data validation, analysis, and data-quality checks.
- Build and support data pipelines that transform computer vision outputs into analytics-ready datasets.
- Troubleshoot issues involving image processing, model outputs, data quality, pipelines, and downstream integrations.
- Collaborate with data engineers, machine learning engineers, analysts, and product stakeholders to resolve technical issues and improve data workflows.
- Perform functional and technical testing of image-processing workflows and computer vision outputs.
- Document technical processes, validation rules, data structures, and troubleshooting procedures.
- Support continuous improvement of image-processing and computer vision pipelines.
Required Qualifications
- Strong hands-on Python development experience.
- Experience with Computer Vision and Image Processing.
- Hands-on experience with one or more of:
- OpenCV
- Pillow
- PyTorch
- TensorFlow
- Similar computer vision / machine learning frameworks
- Experience working with computer vision model outputs, including:
- Image Labels
- Bounding Boxes
- Confidence Scores
- Classification Results
- Image Metadata
- Strong SQL skills.
- Experience working with JSON and semi-structured data.
- Experience with data pipelines, data validation, and data-quality processes.
- Experience validating, testing, and troubleshooting machine learning or computer vision model outputs.
- Strong analytical and problem-solving skills.
- Ability to work effectively with data scientists, ML engineers, developers, data engineers, and business stakeholders.
Preferred Qualifications
- Experience with Snowflake, including VARIANT and semi-structured data.
- Experience working with mortgage, appraisal, property, or real-estate images.
- Experience with UAD (Uniform Appraisal Dataset).
- Experience with GSE environments.
- Experience with OCR technologies.
- Experience with Object Detection.
- Experience with Image Classification.
- Experience working with large-scale image datasets and analytics platforms.
- Financial services or mortgage industry experience.
Technical Skills
Programming:
Python
Computer Vision / Image Processing:
OpenCV • Pillow • PyTorch • TensorFlow • Image Processing • Computer Vision • OCR • Object Detection • Image Classification
Machine Learning:
Model Output Validation • Classification • Bounding Boxes • Confidence Scores • Model Testing • Model Troubleshooting
Data:
SQL • JSON • Semi-Structured Data • Image Metadata • Data Validation • Data Quality • Data Pipelines
Cloud / Data Platforms:
Snowflake • Snowflake VARIANT • Analytics Data Products
Domain:
Mortgage • Property Images • Appraisal Images • UAD • GSE
Desired Soft Skills
- Strong analytical and troubleshooting abilities.
- Excellent attention to detail when validating image and model outputs.
- Ability to work independently on complex technical problems.
- Strong communication and collaboration skills.
- Ability to translate technical findings into clear business and engineering insights.
- Comfortable working in a cross-functional Agile environment.
- Strong ownership of deliverables and production-quality code.
Interview Process
1 Technical Coding Round – Virtual
The technical interview will focus on Python development, problem-solving, computer vision/image-processing concepts, and relevant data-processing capabilities.
Accelyst is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace where all qualified applicants receive consideration for employment without regard to race, color, religion, gender, national origin, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law.