Qualifications: 1. Bachelor's degree (S1) in Information Systems or a related major 2. Minimum 2–4 years of work experience in software engineering, including 1–2 years concentrated on AI/ML solutions 3. Proficiency in foundational AI mathematics covering linear algebra, calculus, probability, and statistics 4. Understanding of data security issues, privacy, model bias, and AI hallucination risks 5. Must be proficient in Python (proficiency in C++, Golang, or Rust is an added advantage) 6. Practical experience working with PyTorch, TensorFlow, or Scikit-learn 7. Familiarity with LLM APIs, Prompt Engineering, Fine-tuning, and RAG architecture 8. Understanding of vector database use and management 9. Ability to build RESTful API / gRPC, along with experience with Docker, Kubernetes, and Cloud platforms 10. Knowledge of AI model CI/CD workflows, data/model version control, and latency and inference performance monitoring Job Summary & Responsibilities: 1. Develop and optimize AI models (object detection/tracking) to run efficiently with low latency on GPU/Edge devices 2. Build stable video CCTV data capture pipelines based on RTSP/WebRTC protocols 3. Design architectures for instant AI detection data delivery using message brokers (Kafka/RabbitMQ/MQTT) 4. Create web-based operator dashboards (React/Vue) displaying graphs and AI-enhanced video streams in real-time via WebSockets 5. Package and ensure the system runs stable 24/7 using Docker/Kubernetes

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