AI/ML Engineer (Automation & Computer Vision)

Job Description

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.

Job Requirement

• 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.