We are looking for an AI/ML Engineer to build advanced video analytics models (YOLO, FRS, PPE, tracking, anomaly detection) for edge and cloud deployments.

What You'll Do :

- Train YOLO/CNN models; optimize for OpenVINO/TensorRT.

- Build OpenCV pipelines : ROI, tracking (DeepSORT, ByteTrack), event-rule mapping.

- Optimize inference for Raspberry Pi, ARM NPUs, Jetson.

- Build synthetic datasets, augmentations, domain-specific annotation strategies.

- Maintain MLOps : MLflow,DVC,ClearML.

- Integrate AI metadata into backend Java services.

Required Skills :

- 5-8 Years

- Java, Python, PyTorch/TensorFlow expertise.

- StrongOpenCV, OpenVINO pipeline experience.

- Real-timeRTSPstream processing.

Preferred Skills :

- ReID, Tracking, Face Recognition experience.

- VMS/CCTV analytics domain knowledge.

Soft Skills :

- Analytical thinking, research mindset.

- Responsible, detail-focused, collaborative

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Posted by

Ramya

TA at Magellanic-Cloud

Last Active: 1 Jul 2026

Job Views:
93

Applications: 28

Recruiter Actions: 0

Posted in

AI/ML

Functional Area

Computer Vision

Job Code

1650382

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