Computer Vision Engineer

Computer Vision, AI & Backend Engineer

About the Role

We are building a high-scale, real-time video intelligence and analytics platform that processes live feeds to detect people, vehicles, anomalies, crowding, loitering, restricted-zone breaches, etc., and generate instant alerts, searchable clips and in-depth analytics and reports.

You will own the entire pipeline end-to-end: from frame ingestion -> analysis -> inference -> learning -> storage -> API exposure -> deployment & monitoring -> long term maintenance.

Responsibilities

• Design and implement real-time video processing pipelines using agentic AI frameworks, OpenCV + Deep Learning models on live streams (20-100+ cameras per tenant)
• Build high-performance, async FastAPI services (REST + WebSockets) for configuration, live preview, event retrieval, reporting
• Optimize performance, inference latency and GPU/CPU utilization (frame skipping, ROI cropping, batching, model quantization)
• Develop event deduplication, tracking, re-identification, and crowd/loitering/altercation logic
• Design scalable MySQL schemas (or TimescaleDB/PostgreSQL) with proper indexing & partitioning for millions of events/day
• Containerize everything with Docker, deploy on cloud (AWS/GCP/Azure) or on-prem servers, and set up CI/CD
• Implement monitoring, logging, alerting, auto-scaling, and graceful degradation when streams drop
• Write production-grade, multi-threaded Python code that can run 247 without memory leaks
• Complete ownership of development, quality assurance, maintenance and uptime for the entire backend
  

Must-Have Technical Skills & Experience

• Crunch time startup mindset
• Solid grasp of data structures & custom algorithms design
• Deep knowledge of agentic AI
• Strong Python proficiency with 5+ years of real-world project experience
• Hands-on experience with OpenCV for live video processing (frame extraction, resizing, color conversion, ROI, optical flow, etc.)
• Practical deep-learning experience in object detection/tracking (YOLO family, DeepSORT, ByteTrack, or custom models) on video streams
• FastAPI (or strong Flask + async experience) building production APIs & WebSockets
• Database schema design, indexing, query optimization, handling 1M+ rows/day, data
  backups, data pruning
• Docker & docker-compose; comfortable writing multi-stage Dockerfiles for OpenCV
• Linux server administration (systemd, nginx, log rotation, SSH, tmux, resource monitoring, shell scripting, cron jobs)
• Edge device deployment and management
• Hands on experience managing production infrastructure
• Hands on experience with monitoring, alerting and high availability design for production
  services
• Hands on experience of designing systems: To be scalable to handle streams from 100s of cameras, To be highly optimized on compute resources, To handle single tenant / multi tenant design, To optimize and reduce storage costs to the maximum, To be extensible and maintainable long term

Good-to-Have (Big Plus)

• Previous work on video/analytics products, ANPR, crowd analysis, or perimeter security
• Previous work on production infrastructure management
• Experience with message queues (Kafka, RabbitMQ, Redis Streams) for decoupling
  ingestion & processing

Education

• BE/BTech/MTech in Computer Science, AI/ML, or related fields
• Candidates with strong projects and broad background including infrastructure management will be preferred

Why Join Us?

• Opportunity to play a pivotal role in shaping the companys growth trajectory.
• Opportunity to develop innovative domain-specific solutions from the ground up.
• Freedom, flexibility, and recognition for results-driven performance.