Sr Python Developer

Position Overview
We are seeking a Python Backend Developer with hands-on experience in processing CCTV camera feeds and integrating AI/ML models into scalable backend systems. The ideal candidate will design, develop, and optimize backend services that handle real-time video streams, run AI inference, and deliver results efficiently for security, analytics, or automation use cases.Key ResponsibilitiesBackend Development: Build, maintain, and optimize scalable backend systems using Python (FastAPI, Flask, or Django).CCTV Feed Handling: Implement video ingestion pipelines to capture, process, and manage CCTV/IP camera feeds (RTSP, ONVIF, or similar protocols).AI/ML Integration: Integrate computer vision and AI models (TensorFlow, PyTorch, OpenVINO, or ONNX) into backend workflows for inference on live or recorded video data.Data Processing: Develop APIs/services for object detection, face recognition, behavior analysis, or anomaly detection from camera feeds.Scalability & Performance: Optimize video and inference pipelines for low latency and high throughput across multiple streams.Cloud & Deployment: Containerize and deploy services on cloud (AWS, GCP, Azure) or on-premise edge devices (Docker, Kubernetes).Collaboration: Work closely with AI/ML engineers, DevOps, and frontend teams to deliver end-to-end solutions.Monitoring & Logging: Implement monitoring, logging, and alerting for real-time video and inference pipelines.Required Skills & QualificationsStrong proficiency in Python with 36 years of backend development experience.Experience with RESTful APIs and frameworks like FastAPI, Flask, or Django.Hands-on experience with CCTV camera protocols (RTSP, ONVIF, etc.).Knowledge of real-time video streaming/processing libraries (OpenCV, FFmpeg, GStreamer).Experience integrating and deploying AI/ML models (TensorFlow, PyTorch, ONNX, or similar).Proficiency in working with databases (PostgreSQL, MySQL, MongoDB, or Redis).Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).Strong understanding of asynchronous programming and multithreading for handling video streams.Familiarity with CI/CD pipelines and version control (Git).Preferred (Nice-to-Have) SkillsExperience with edge computing for AI inference on local devices.Knowledge of AI-powered video analytics frameworks (DeepStream, OpenVINO, NVIDIA Triton).Background in security systems, surveillance, or IoT platforms.Exposure to microservices architecture and event-driven systems (Kafka, RabbitMQ).EducationBachelors or Masters degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).What We OfferOpportunity to work on cutting-edge AI + CCTV integration projects.Collaborative and innovative team environment.Flexible working options and career growth opportunities.Competitive compensation and benefits package.