Job Description
COMPUTER VISION / VIDEO ANALYTICS ENGINEER
Experience: 4–5 Years
Location: Pune (On-site)
Employment Type: Full-Time
POSITION OVERVIEW
We are looking for a Computer Vision / Video Analytics Engineer to join our team in Pune. The role involves building, training, optimizing, and deploying computer vision models for real-world video analytics applications. Candidates should have strong hands-on experience with live camera streams, edge deployment, and performance optimization in production environments.
KEY RESPONSIBILITIES
Design and deploy computer vision pipelines for real-time video analytics applications
Develop and fine-tune deep learning models using PyTorch and TensorFlow, with a strong focus on YOLO-based architectures
Integrate RTSP/IP camera streams for live video ingestion and processing
Optimize inference performance using CUDA and TensorRT for low-latency deployments
Develop and maintain Python-based training, evaluation, and deployment pipelines
Use C++ and OpenCV for performance-critical image processing and edge integrations
Deploy and manage multi-camera systems in field environments
Conduct testing, validation, and tuning of deployed models
Collaborate with backend, DevOps, and hardware teams for end-to-end system integration
REQUIRED SKILLS
Computer Vision
Video Analytics
Python
C++
OpenCV
PyTorch and/or TensorFlow
YOLO (v5/v7/v8/v11)
RTSP / IP Camera Integration
CUDA
TensorRT
Linux
Preferred Skills:
NVIDIA Jetson
Edge AI Deployment
Multi-camera Video Processing
Docker
ONNX
DeepSORT / ByteTrack
IDEAL CANDIDATE
4–5 years of hands-on experience in Computer Vision or Video Analytics
Strong experience with YOLO, OpenCV, Python, and PyTorch
Hands-on exposure to RTSP/IP camera integration
Experience with CUDA and TensorRT optimization
Worked on real-world deployments, not only research or academic projects
Comfortable working on-site in Pune
Experience: 4–5 Years
Location: Pune (On-site)
Employment Type: Full-Time
No Referrers Available
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