Sourceability ® is a global digital distributor of electronic components transforming how modern businesses bring products to market. With innovation, quality and logistics as the backbone of the company, Sourceability’s cutting-edge products and services expedite the procurement process across a wide range of industries, including communications/cellular, consumer electronics, and auto manufacturing. Sourceability is building a new Global Engineering Organization (GEO) to strengthen internal software delivery, improve production ownership, and build long-term engineering capability inside the company.

We are looking for a Principal Computer Vision Scientist to lead advanced Computer Vision and AI / ML work inside GEO. This role will be responsible for research direction, model architecture, experimentation, model quality, production readiness, and practical implementation of computer vision solutions used in company products. This is a senior technical leadership role for a highly experienced specialist who can work across research, engineering, product, and production systems.

The right candidate should be able to evaluate new approaches, design model architectures, run experiments, improve model quality, and help engineering teams bring AI / ML capabilities into real production workflows. This role requires PhD-level education and strong hands-on experience in applied Computer Vision, Machine Learning, and Deep Learning.

Requirements

Assigned Product Group This role will be primarily aligned with the Computer Vision product group inside GEO. The role may also support other internal product groups or AI / ML initiatives where computer vision, image processing, visual search, object detection, segmentation, classification, or model evaluation expertise is needed. Product Group Focus Areas Depending on business priorities, the role may focus on one or more of the following areas: Mobile App / Computer Vision: Image capture workflows, mobile application integration, computer vision model development, model inference, warehouse / field usability, user feedback loops, production model quality, and UAT support.

AI / ML Product Features: Applied machine learning features, model evaluation workflows, proof-of-concepts, model-assisted automation, AI-assisted business tools, and integration of AI / ML capabilities into existing business workflows.

, labeling guidelines, model training datasets, validation datasets, failure case analysis, and continuous improvement of model performance. Production ML Systems: Model deployment, model versioning, inference performance, monitoring, reproducibility, scalability, reliability, and MLOps practices. Insight on Your Impact In this role, you will: Lead research, design, development, and implementation of Computer Vision and AI / ML solutions.

Define model architecture, technical approach, experiment strategy, validation methodology, and production readiness criteria. Train, fine-tune, evaluate, optimize, and deploy models for object detection, semantic segmentation, image classification, feature matching, OCR, visual search, and image understanding.

, model training, experiment tracking, evaluation, deployment, monitoring, and continuous improvement. Build prototypes, proof-of-concepts, demos, and technical experiments to validate new ideas before full product implementation. Analyze model performance, identify failure cases, and recommend practical improvements based on data, user behavior, and business needs.

Review and improve existing Computer Vision pipelines, model quality, inference performance, scalability, and production reliability.