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.
Requirements
Bachelor’s Degree in Computer Science, AI, Software Engineering, or a related majors.
Strong programming skills in Python (TensorFlow, PyTorch, OpenCV, LangChain) and experience with RPA tools (UiPath, Power Automate, Automation Anywhere).
Minimum 2 years of hands-on experience in AI/ML, particularly in automation and Computer Vision.
Strong knowledge of Deep Learning algorithms (CNN, YOLO, Faster R-CNN) for image recognition and analysis.
Good understanding about Business process.
Familiarity with AI-driven automation systems, cloud services (AWS, Azure, GCP), and IT security/compliance.
Experience with edge computing, machine vision, or AI on embedded devices is a plus.
Basic English communication.
Strong problem-solving skills, particularly with a focus on cost reduction, efficiency improvements, and real-time image processing.
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