Backend Developer
5 days ago
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
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