Computer Vision / Video Analytics Engineer

About the Role

We are seeking a skilled Computer Vision / Video Analytics Engineer to join our dynamic team in Pune. This position focuses on the development, training, optimization, and deployment of advanced computer vision models tailored for practical video analytics solutions. The ideal candidate will possess substantial experience with live camera feeds, deploying solutions on edge devices, and enhancing performance in production settings.

Key Responsibilities

• Architect and implement computer vision workflows for real-time video analytics.
• Develop and refine deep learning models using PyTorch and TensorFlow, with an emphasis on YOLO architectures.
• Integrate RTSP/IP camera streams for seamless live video intake and processing.
• Optimize inference speed using CUDA and TensorRT to achieve minimal latency.
• Build and manage Python-based pipelines for model training, evaluation, and deployment.
• Utilize C++ and OpenCV for high-performance image processing and edge-based integrations.
• Deploy and oversee multi-camera systems in operational environments.
• Perform rigorous testing, validation, and fine-tuning of deployed models.
• Collaborate effectively with backend, DevOps, and hardware teams for comprehensive 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

Additional Information

This is a full-time, on-site position located in Pune, India. The role requires 4-5 years of relevant experience.