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Niche CV/ML skills reduce applicants, but mid-level seniority and metro location increase competition.
Role requires specialized computer vision and ML productionization expertise, limiting cross-industry transferability.
Explicit 6+ years, mandatory backend plus production ML skills and specific tech stack raise filter strictness.
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Build and maintain scalable microservices for AI-powered computer vision and image processing workflows in retail shelf analytics.
Integrate and productionize machine learning models including OCR, Vision-Language Models (VLMs), and LLMs into backend services and enterprise applications.
Design and optimize data models and APIs to handle large-scale retail image datasets with a focus on performance, scalability, and security.
Bachelor's or Master's degree in Computer Science or related field.
6+ years of software engineering experience with backend development expertise.
Strong Python skills with experience in FastAPI or Flask frameworks.
Proven experience in Computer Vision technologies such as PyTorch, OpenCV, YOLO, OCR, and AI/ML model productionization.
Experienced software engineer specializing in production-grade AI-enabled applications with a focus on computer vision and image processing.
Strong backend development skills applied within microservices architecture and cloud-native environments (Azure/AWS preferred).
Demonstrated ability to collaborate cross-functionally with AI researchers and product teams to deploy complex AI workflows in retail domain solutions.