Senior Software Developer – Python
Specialization
Computer Vision | AI/ML | Video Analytics | CCTV Analytics
Company
Stream Perfect Global Services (SPGS)
Employment Type
Full-Time
Experience
4–6 years
Location
Kochi, Kerala
About the Role
Stream Perfect Global Services (SPGS) is looking for a highly skilled and hands-on Senior Software Developer – Python with strong experience in Computer Vision, Artificial Intelligence, Machine Learning and Video Analytics.
The selected candidate will be responsible for designing, developing, integrating and optimizing software solutions that process live and recorded CCTV/IP camera video streams and convert video data into actionable intelligence.
The role will involve working on AI-powered video analytics applications, including object detection, people analytics, activity recognition, behavioral analysis, safety and hygiene monitoring, SOP compliance and real-time event detection.
The candidate will work closely with our AI/ML, Computer Vision, Product, DevOps and Software Engineering teams to build and deploy scalable video analytics services for enterprise customers.
Key Responsibilities
1. Python Software Development
- Design, develop and maintain high-performance software applications using Python.
- Develop scalable backend services, APIs, microservices and video analytics applications.
- Write clean, efficient, reusable and production-ready code.
- Perform code reviews, debugging, testing and performance optimization.
- Take ownership of software modules from development through deployment and production support.
2. Computer Vision & Video Analytics
- Develop and integrate Computer Vision and AI/ML algorithms for real-world video analytics applications.
- Process live CCTV/IP camera streams and recorded video.
- Work with RTSP, ONVIF, IP cameras, DVR/NVR systems and video streaming technologies.
- Develop solutions for:
- People detection and counting
- Person tracking
- Object detection and classification
- Face detection/recognition
- PPE and safety compliance
- Staff/customer interaction analytics
- Queue monitoring
- Intrusion and unauthorized-entry detection
- Fall detection
- Crowd detection
- Vehicle detection and tracking
- Loitering and dwell-time analysis
- Hygiene and SOP compliance
- Abnormal activity detection
- Real-time event and alert generation
3. AI/ML Model Integration
- Integrate trained AI/ML and Deep Learning models into production applications.
- Work with frameworks and technologies such as YOLO, PyTorch, TensorFlow, OpenCV and related Computer Vision frameworks.
- Optimize models for real-time video processing.
- Work on model inference, preprocessing, post-processing and tracking pipelines.
- Evaluate model accuracy, false positives, false negatives and performance.
- Assist AI/ML engineers in improving model performance for real-world CCTV environments.
4. Real-Time Video Processing
- Build and optimize real-time video processing pipelines.
- Work with multiple simultaneous camera streams.
- Develop efficient frame-processing and inference pipelines.
- Work with technologies such as OpenCV, FFmpeg and GStreamer.
- Handle video decoding, frame extraction, resizing, streaming and event processing.
- Optimize CPU/GPU utilization for large-scale deployments.
- Develop solutions capable of processing multiple CCTV streams concurrently.
5. Backend & API Development
- Develop RESTful APIs and microservices using FastAPI, Flask or Django.
- Build APIs for video analytics configuration, event management and reporting.
- Develop real-time event and alert communication services.
- Integrate video analytics engines with web applications and enterprise platforms.
- Work with WebSockets, messaging systems and event-driven architectures where required.
6. AI Analytics Platform Development
- Contribute to the development and enhancement of SPgS.eSecure365, SPGS's AI-powered video monitoring and analytics platform.
- Develop modules for centralized monitoring, analytics, alerts and reporting.
- Enable integration of multiple camera locations and enterprise sites.
- Develop configurable AI rules and analytics based on customer requirements.
- Support multi-site and multi-camera deployments.
7. Database & Data Engineering
- Design and maintain databases for analytics events, configurations, alerts and reports.
- Work with PostgreSQL, MySQL, MongoDB, Redis or equivalent technologies.
- Develop efficient data-processing pipelines.
- Optimize database queries and data storage for large volumes of video analytics events.
8. Cloud, GPU & Deployment
- Deploy AI/ML and video analytics applications on Linux and cloud/server environments.
- Work with Docker and containerized applications.
- Experience with AWS, Azure or equivalent cloud platforms will be an advantage.
- Work with NVIDIA GPUs and CUDA-based environments for AI inference.
- Optimize applications for GPU/CPU resource utilization.
- Support deployment of AI video analytics solutions at customer locations and cloud environments.
9. System Integration
- Integrate AI video analytics with:
- CCTV/IP cameras
- DVR/NVR systems
- VMS platforms
- IoT devices
- Access-control systems
- Enterprise applications
- Notification platforms
- Dashboards and reporting systems
- Troubleshoot integration and connectivity issues.
10. Research & Innovation
- Stay updated with developments in Generative AI, Computer Vision, Deep Learning and Video Analytics.
- Evaluate new AI models, frameworks and technologies.
- Develop Proof of Concepts (PoCs) for new video analytics use cases.
- Research and implement improvements in detection accuracy, tracking and inference performance.
Required Technical SkillsCore Programming
- Strong hands-on experience in Python.
- Excellent understanding of Object-Oriented Programming.
- Strong knowledge of data structures, algorithms and software architecture.
- Experience with asynchronous and concurrent programming is preferred.
Experience with one or more of:
- PyTorch
- TensorFlow
- YOLO / YOLO-based models
- ONNX / ONNX Runtime
- Deep Learning
- Neural Networks
- Model optimization
- Transfer learning
- Model evaluation and performance tuning
Video Technologies
Knowledge of:
- RTSP
- ONVIF
- IP Cameras
- CCTV/DVR/NVR
- FFmpeg
- GStreamer
- H.264/H.265
- Video streaming and decoding
Backend Technologies
- FastAPI / Flask / Django
- REST APIs
- Microservices
- WebSockets
- JSON
- API integration
Database
- PostgreSQL / MySQL
- MongoDB
- Redis
- SQL query optimization
DevOps / Infrastructure
- Linux
- Git/GitHub/GitLab
- Docker
- CI/CD
- Cloud deployment
- NVIDIA GPU/CUDA environments
Preferred Experience
Candidates with experience in the following areas will have an advantage:
- AI-powered CCTV Video Analytics
- Smart Surveillance
- Computer Vision products
- Security and surveillance platforms
- Retail Video Analytics
- Manufacturing Video Analytics
- Food & Restaurant compliance monitoring
- Employee behavior analytics
- Safety and PPE detection
- People counting and customer analytics
- Multi-camera video processing
- Edge AI
- GPU-based inference
- NVIDIA CUDA
- VMS/CCTV integration
- Real-time alerting systems
Educational Qualification
- B.Tech / B.E. / M.Tech / MCA / M.Sc. in:
- Computer Science
- Information Technology
- Artificial Intelligence
- Data Science
- Electronics
- Computer Engineering
- Related disciplines
Equivalent practical experience may also be considered.
Desired Candidate Profile
The ideal candidate should:
- Be a strong hands-on Python developer with practical Computer Vision and AI/ML experience.
- Have experience converting AI/ML concepts and models into production-ready video analytics applications.
- Understand the challenges of processing real-world CCTV footage, including varying lighting, camera angles, occlusion and low-quality video.
- Be capable of independently developing and troubleshooting complex software modules.
- Have strong analytical and problem-solving skills.
- Be comfortable working with AI models, APIs, databases, video streams and backend systems.
- Have a strong interest in emerging AI and Computer Vision technologies.
- Be capable of working independently while collaborating with cross-functional technical teams.
- Demonstrate ownership, accountability and attention to software quality.
Why Join SPGS?
- Work on real-world AI, Computer Vision and Video Analytics applications.
- Develop technology for large-scale CCTV and enterprise monitoring environments.
- Work on SPgS.eSecure365, an intelligent AI-powered monitoring and analytics platform.
- Exposure to diverse industries including Retail, QSR, Food & Beverage, Manufacturing, Healthcare and Enterprise Operations.
- Opportunity to work with international customers and technology projects.
- Opportunity to work with modern AI/ML, GPU and video-processing technologies.
- Career growth into Technical Lead / AI Engineering Lead / Solution Architect roles.
Candidate Application
Interested candidates should submit their updated CV to [email protected].
Pay: Up to ₹1,200,000.00 per year
Benefits:
- Flexible schedule
- Paid sick time
- Paid time off
- Provident Fund
Work Location: In person
