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etiot innovations pvt. ltd.
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Kolkata · Hybrid · 5-8 Yrs · Oct 9
2 open roles0 posted in 7d2 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Location: Kolkata | Work from Office
Responsibilities
- ETIOT is looking for a hands-on Video Analytics (VA) & Video Management System (VMS) Engineer with strong software development, video integration, and AI-powered computer vision experience. The candidate will work on integrating IP Cameras/CCTV systems, video streaming protocols, VMS platforms, and AI/ML-based analytics to build scalable, real-time video intelligence solutions across edge, cloud, and hybrid environments.
- The role requires practical expertise in video processing, system integration, performance optimization, and deploying production-ready video surveillance and analytics applications.
- Develop, integrate, and deploy Video Management Systems (VMS) and Video Analytics (VA) solutions supporting IP Cameras/CCTV, live video streaming, recording, playback, storage, and retention.
- Implement and troubleshoot ONVIF, RTSP/RTP, and related video streaming protocols, including interoperability across camera brands, codecs such as H.264/H.265, and third-party VMS platforms.
- Build real-time video processing and computer vision pipelines for object detection, object tracking, people and vehicle detection, ANPR/LPR, face detection/recognition, perimeter intrusion detection, loitering detection, PPE detection, crowd/behavior analytics, and video event detection.
- Develop and optimize AI/ML and Deep Learning models using OpenCV, PyTorch, TensorFlow, or similar frameworks.
- Work with C++ (strongly preferred) and Python for video processing, analytics integration, system development, and debugging.
- Leverage FFmpeg/GStreamer, NVIDIA CUDA, and TensorRT for video pipeline development, GPU acceleration, and inference optimization.
- Design and integrate REST APIs, WebSocket interfaces, microservices, and API-first components for seamless communication between VMS, analytics engines, and external applications.
- Deploy and maintain solutions on Linux-based systems using Docker/Kubernetes, with data storage and messaging components involving PostgreSQL, MongoDB, Redis, or equivalent technologies.
- Contribute to VMS Architecture, Video Analytics Architecture, System Design, and Product Architecture for distributed, multi-camera deployments.
- Support edge AI, cloud/hybrid video processing, GPU-based processing, and distributed video processing architectures.
- Build scalable, highly available, real-time video solutions with multi-camera architecture and, where applicable, multi-tenant SaaS capabilities.
- Conduct integration testing, performance benchmarking, troubleshooting, and production deployment across different hardware and software environments.
Qualifications
- Location: Kolkata | Work from Office
- Department: Engineering / Product Development
- Video & VMS: Video Management System (VMS), Video Analytics (VA), IP Camera/CCTV integration, Video Streaming, Video Recording & Playback, Video Storage & Retention.
- Protocols & Codecs: ONVIF, RTSP/RTP, H.264/H.265.
- AI/ML & Computer Vision: Deep Learning, OpenCV, Object Detection, Object Tracking, ANPR/LPR, Face Detection/Recognition, People & Vehicle Detection, Perimeter Intrusion Detection, Crowd/Behavior Analytics, PPE Detection, Loitering Detection, and Video Event Detection.
- Programming & Video Processing: C++ (strongly preferred), Python, FFmpeg/GStreamer.
- AI Acceleration & Frameworks: NVIDIA CUDA, TensorRT, PyTorch, TensorFlow.
- Backend & Integration: REST APIs, WebSocket, Microservices.
- Infrastructure & Data: Linux, Docker/Kubernetes, PostgreSQL, MongoDB, Redis, or equivalent technologies.
- VMS Architecture and Video Analytics Architecture.
- Real-time Video Processing and Distributed Video Processing.
- Multi-camera architecture and scalable system design.
- High Availability and performance optimization.
- Edge AI, Cloud/Hybrid Architecture, and GPU-based Video Processing.
- Multi-tenant SaaS and API-first Architecture.
- System Design, Product Architecture, and end-to-end integration ownership.
- 5 years of relevant experience in video software engineering, VMS development, video analytics, computer vision, or video platform integration.
- Demonstrated hands-on experience integrating multiple IP camera models, VMS platforms, video streams, and AI analytics engines.
- Strong debugging and problem-solving skills across video protocols, networking, streaming, inference, and deployment environments.
- Experience taking solutions from proof of concept to production, including performance tuning and operational troubleshooting.
- Ability to collaborate across software, AI/ML, infrastructure, and product teams.
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Job application FAQ
Last updated 10 October 2026
- How do I apply for Video Analytics & VMS Engineer at etiot innovations pvt. ltd.?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. etiot innovations pvt. ltd. may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Video Analytics & VMS Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Video Analytics & VMS Engineer remote or on-site in Kolkata, West Bengal?
- This listing is marked hybrid with location Kolkata, West Bengal. Confirm details on the job description before applying.
- What skills matter for this Video Analytics & VMS Engineer role at etiot innovations pvt. ltd.?
- This is a mid-level Video Analytics & VMS Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.