AI/ML Engineer (Automation & Computer Vision)

Key Responsibilities:
Develop and deploy AI agents and Computer Vision models to automate repetitive tasks, monitor production processes, and reduce human intervention in workflows.
Design and implement AI solutions for automating data entry, document processing, reporting, and operational workflows, as well as integrating these solutions with existing IT systems, ERP, and business applications.
Develop AI-driven systems for quality control in manufacturing (e.g., fabric quality inspection, defect detection, and assembly tracking) by applying Deep Learning for image analysis.
Integrate image recognition systems to track materials and products using cameras or sensors, optimizing production processes in collaboration with robotic systems.
Collaborate with cross-functional teams, including IT, manufacturing, and management, to identify automation opportunities, enhance cost-efficiency, and improve workflows.
Stay up-to-date with advancements in AI, machine learning, and Computer Vision technologies, and apply them to optimize automation and intelligent systems.
Optimize AI models for scalability, security, cost-efficiency, and deploy them in real-world production and operational environments.