Hello,

Senior/Lead Edge AI & Computer Vision Engineer

Experience: 7–10+ Years

Location: Pan India

Employment Type: Full time

Job Summary

We are looking for a Senior/Lead Forward Deployed Edge AI & Computer Vision Engineer to design, develop, and deploy real-time AI-powered video analytics solutions using NVIDIA GPU technologies. The ideal candidate should have solid experience in Computer Vision, Edge AI, Python, C++, CUDA, TensorRT, DeepStream, Jetson, and Kubernetes, with expertise in building scalable, production-grade AI applications.

Key Responsibilities
Design and develop real-time Edge AI and Computer Vision applications.
Build and optimize AI inference pipelines using CUDA, TensorRT, DeepStream, GStreamer, and ONNX.
Deploy AI workloads on NVIDIA Jetson and GPU-based servers.
Develop scalable streaming pipelines using Kafka, Flink, or Spark Streaming.
Containerize and deploy applications using Docker, Kubernetes, Helm, and GitOps.
Optimize AI models through quantization, pruning, and performance tuning.
Integrate AI services with REST APIs, gRPC,



MQTT, and RTSP/RTP protocols.
Monitor model performance, drift detection, logging, tracing, and system observability.
Work directly with customers to gather requirements, conduct workshops, and implement production solutions.
Troubleshoot production issues and support incident management and root cause analysis.

Required Skills
7–10+ years of experience in Edge AI, Computer Vision, or AI-based video analytics.
Strong programming experience in Python and C++.
Hands-on experience with: NVIDIA CUDA ,TensorRT , DeepStream ,Jetson , Triton Inference Server ,GStreamer
Experience with OpenCV, ONNX, and AI model optimization.
Robust knowledge of Docker, Kubernetes, Helm, and CI/CD.
Experience with Kafka, Flink, or Spark Streaming.
Familiarity with REST APIs, gRPC, MQTT, RTSP, and RTP.
Experience deploying AI applications in cloud, edge, or on-premises environments.
Strong unders

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