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Machine-learning focus, metro location, and mid-seniority create moderate applicant density and competition.
Role demands specialized computer-vision and ML productionization skills, moderately transferable across industries.
Explicit 6+ years plus mandatory CV, PyTorch, productionization and microservices experience increases filtering strictness.
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Design and develop scalable microservices for computer vision and AI-powered retail image processing workflows including image ingestion, object recognition, and planogram automation.
Integrate OCR, Vision-Language Models, and machine learning models into backend systems and productionize AI models collaboratively with AI teams.
Optimize data models and SQL queries for large retail datasets while ensuring performance, security, and cloud-native best practices across global engineering teams.
Bachelor's or Master's degree in Computer Science or related field.
6+ years of software engineering experience with strong backend development expertise.
Proven experience building production-grade AI-enabled applications involving computer vision, image recognition, and model deployment.
Strong Python programming skills with experience in FastAPI or Flask, computer vision frameworks (PyTorch, OpenCV, YOLO), OCR technologies, and SQL data modeling.
Experienced in productionizing AI/ML models and integrating Vision-Language Models with prompt engineering expertise.
Skilled in microservices architecture and API-driven backend development for scalable, cloud-native enterprise applications.
Familiar with cloud platforms (Azure/AWS preferred), containerization (Docker/Kubernetes), CI/CD, and has domain knowledge in retail shelf analytics or planogram automation for practical impact.