AI Engineer

• Design, implement, and optimize Machine Learning based computer vision components, including:
• o Object detection and image classification models.
• o OCR pipelines integrating third-party and in-house engines.
• o Image quality assessment classifiers (e.g., overexposed, underexposed, obstructed).
• Develop robust, production-ready Python code with strong Object Oriented Design (OOD) principles.
• Collaborate with system architect to integrate Machine Learning components into a distributed, message-driven architecture.
• Implement data-driven training, evaluation, and feedback loops for OCR and image classifiers.
• Optimize model performance for near real-time transaction workflows (latency and throughput).
• Participate in system-level design discussions, ensuring scalability, maintainability, and adaptability.
• Work closely with database, Application Programming Interface (API), and DevOps teams to ensure smooth deployment and testing.
• Build frameworks and systems, not just proof-of-concept notebooks.

AI Developer – Machine Learning, Vision Engineer

ERP Analytics & AI Architect Lead

AI Architect

AI Engineer

AI Architect