Backend Developer

Key Accountabilities

• Develop, optimize, and maintain Python-based backend APIs for computer vision applications.
• Implement and integrate face detection and recognition models using libraries such as dlib, face_recognition, InsightFace, or ArcFace.
• Build and manage real-time video and image processing pipelines using OpenCV and related tools.
• Work with PyTorch or TensorFlow for model loading, inference, and optimization.
• Develop RESTful/GraphQL APIs for communication between backend services and front-end or client applications.
• Manage asynchronous task processing using queue systems such as Redis, Celery, or RabbitMQ.
• Design and maintain SQL-based databases (PostgreSQL/MySQL/SQL Server), ensuring efficient query performance and data integrity.
• Collaborate closely with front-end developers, AI engineers, and DevOps teams to ensure seamless system integration.
• Write clean, modular, and well-documented code following best practices for scalability and performance. .

Scope of Work

• Strong proficiency in Python 3.x and object-oriented programming
• Experience with OpenCV for video and image manipulation
• Familiarity with Machine Learning frameworks: PyTorch, TensorFlow, or ONNXRuntime
• Hands-on experience with face detection/recognition libraries like: dlib, face_recognition, InsightFace, ArcFace
• Understanding of image embeddings, cosine similarity, and feature matching
• Strong knowledge of API frameworks such as FastAPI, Flask, or aiohttp
• Knowledge of SQL databases and ORM frameworks (SQLAlchemy, Django ORM, etc.)
• Familiarity with Redis or other queue/message broker systems
• Basic knowledge of Docker, Git, and Linux environments

Preferred Skills / Additional Experience

• Experience with real-time video streaming (RTSP, HLS, WebRTC)
• Exposure to GPU acceleration (CUDA, cuDNN) for model inference
• Knowledge of cloud services (AWS, GCP, Azure) and S3-like storage systems
• Understanding of microservice architectures and asynchronous programming