Key Responsibilities

Python Application Development

· Design and develop scalable Python-based applications

· Build modular and reusable code for AI and video analytics systems

· Develop high-performance backend services

· Implement microservices architecture

· Ensure clean, maintainable, and production-ready code

· Write unit and integration tests

Technologies : Python, FastAPI, Flask, Django

AI/ML Camera Analytics Development

· Build real-time camera analytics pipelines

· Implement computer vision models

· Integrate AI models into applications

· Develop intelligent event detection systems

· Work on object detection, tracking, and behavior analysis

· Build AI-driven monitoring solutions

AI Tools: OpenCV, PyTorch , TensorFlow, YOLO

Video Streaming & Real-Time Processing

· Develop real-time video processing pipelines

· Integrate RTSP camera feeds

· Optimize frame extraction and processing

· Handle multi-camera streaming

· Reduce processing latency

· Build event-driven video analytics systems

Streaming Stack: GStreamer, FFmpeg, Kafka

System Architecture & Design (Senior Level)

· Design scalable AI systems

· Create distributed architecture

· Build high-availability solutions

· Define system design and architecture

· Design event-driven pipelines

· Optimize for performance and reliability

· Create technical documentation and architecture diagrams

Responsibilities

· Define architecture standards

· Lead system design decisions

· Choose technology stack

· Ensure scalability and performance

· Conduct architecture reviews

GPU & AI Inference Optimization

· Deploy models on GPU servers

· Optimize inference pipelines

· Manage GPU memory and compute

· Build parallel inference systems

Tools:TensorRT,ONNX Runtime, CUDA

Backend Engineering

· Build APIs for camera analytics

· Create microservices

· Handle data pipelines

· Integrate with dashboards

· Build event processing systems

Technologies

· REST APIs

· WebSockets

· Message queues

· Streaming APIs

Database & Data Engineering

· Design data storage architecture

· Store video metadata and AI events

· Build structured and unstructured data pipelines

· Optimize database performance

· Design time-series and event storage

Databases: PostgreSQL, MongoDB, Redis, Elasticsearch

DevOps & Deployment

· Build CI/CD pipelines

· Deploy applications on cloud or on-prem

· Manage containerized environments

· Automate deployments

· Monitor system performance

Tools:Docker, Kubernetes, GitHub Actions, Jenkins

Leadership & Team Responsibilities

· Mentor junior developers

· Conduct code reviews

· Guide AI engineers

· Define coding standards

· Coordinate with product and AI teams

· Drive technical decisions

Stakeholder & Product Collaboration

· Work with product managers

· Understand business requirements

· Convert requirements into technical solutions

· Participate in sprint planning

· Deliver production-ready features

· Communicate technical decisions

Required Experience

· 6–10 years Python development

· 3+ years backend engineering

· 3+ years AI/ML or computer vision

· Experience in scalable systems

· Experience in real-time applications

· Experience in production deployment

Required Skills

Programming

· Python (Advanced)

· OOP and design patterns

· Async programming

· Multithreading and multiprocessing

· OpenCV

· Deep learning frameworks

· Model deployment

· Video analytics

· APIs

· Microservices

· Streaming

· Docker

· Kubernetes