Title: Sr Python AI Software Developer
Company Name: Regnum
Vacancy: 2
Age: 25 to 40 years
Job Location: Dhaka (Tejgaon Industrial Area)
Salary: Negotiable
Experience:
We are building a production-grade Intelligent Transportation System (ITS) involving real-time video analytics, AI-driven decision systems, and high-performance desktop applications.
This role is intended for a high-agency engineer who can independently architect, build, and operate complete systems. You will be responsible for delivering end-to-end solutions—from raw video streams to actionable insights and user-facing tools.
Below are specific responsibilities:
Architect and implement end-to-end ITS pipelines: RTSP ingestion, detection/tracking, event systems, storage, APIs, desktop UI
Design and optimize real-time computer vision systems for detection, tracking, and rule-based event generation under real-world constraints
Build and maintain high-performance Python desktop applications (PyQt/PySide) for:
Multi-stream video monitoring
Real-time analytics visualization
Configuration and control systems
Develop low-latency, high-throughput processing pipelines handling continuous video streams
Productionize and optimize models (YOLO, RF-DETR, Detectron) with focus on accuracy vs latency trade-offs
Design and implement AI-driven decision systems, combining vision outputs with rules or higher-level logic
Integrate AI systems with external infrastructure, APIs, and backend services
Identify and resolve system bottlenecks across CPU, GPU, memory, I/O, and rendering pipelines
Ensure systems are stable, fault-tolerant, and production-ready (handling stream failures, noisy data, long runtimes)
Write clean, modular, and maintainable code; enforce engineering discipline
Document system architecture, pipelines, and technical decisions
Key AI Technologies and Tools:
Machine Learning Libraries*: TensorFlow, PyTorch, Scikit-learn, Keras
Data Processing*: Pandas, NumPy, Apache Spark
Computer Vision*: OpenCV, YOLO, Detectron, TensorFlow Object Detection API
Cloud Platforms*: AWS , Google Cloud AI, Azure AI
AI Deployment*: TensorFlow Serving, MLflow
For Python desktop application experience with PyQt5 is preferred.
On-the-Job training facility
6 Working days