oracle
Software Engr II
Honeywell
Pune, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 6 days ago
PythonC++LinuxPyTorchTensorFlowOpenCV
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PythonC++LinuxPyTorchTensorFlowOpenCV
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Responsibilities
- Design and develop end-to-end video analytics pipelines covering ingestion, decoding, preprocessing, inference, and post-processing.
- Build, fine-tune, test, and deploy computer vision models for object detection, tracking, classification, action recognition, and anomaly detection.
- Analyze model outputs, identify common failure cases, and support experiments to improve robustness under occlusion, crowd density, lighting variation, and camera diversity.
- Optimize inference performance on edge and cloud GPUs using TensorRT, ONNX Runtime, OpenVINO, or similar runtimes.
- Implement real-time video processing using GStreamer, FFmpeg, or DeepStream, with low-latency streaming over RTSP, WebRTC, or HLS.
- Support dataset curation, annotation review, data augmentation, and retraining workflows to improve model quality over time.
- Collaborate with product, QA, and senior technical teams to translate business requirements into deployable analytics features.
- Contribute to benchmarking, validation, and performance measurement using clear metrics for accuracy, latency, and throughput.
- Engineer backend services and supporting utilities for multi-camera orchestration, metadata handling, and monitoring.
- Maintain documentation, write unit and integration tests, and follow CI/CD best practices for model and service releases.
Qualifications
- B.E./B.Tech/M.E./M.Tech in Computer Science, Electronics, AI/ML, Mathematics, or a related field.
- 3-5 years of professional experience in computer vision, video analytics, machine learning, or a related engineering role.
- Strong programming skills in Python and preferably C++ along with good command of Linux development environments.
- Hands-on experience with deep learning frameworks such as PyTorch and/or TensorFlow.
- Practical knowledge of video processing and CV tooling such as OpenCV, GStreamer, FFmpeg, or NVIDIA DeepStream.
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