zoho_recruit
AI/Deep Learning Engineer
Ignatiuz
Indore, IND
Full-time
Entry · 2+ years experience
Onsite
Discovered 3 weeks ago
YOLORT-DETRPyTorchTensorFlowKerasOpenCV
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Role Overview
We are looking for an AI/Computer Vision Engineer to build and optimize real-time video analytics solutions for SafeSwim.AI. The ideal candidate should have experience. Developing, training, and deploying deep learning models for object detection, tracking, and video understanding. You will work closely with product, cloud, and engineering teams to deliver scalable AI solutions for safety-critical environments.
Key Skills for This Role
YOLORT-DETRPyTorchTensorFlowKerasOpenCV
Full Job Posting
About the Role
We are looking for an AI/Computer Vision Engineer to build and optimize real-time video analytics solutions for SafeSwim.AI. The ideal candidate should have experience. Developing, training, and deploying deep learning models for object detection, tracking, and video understanding. You will work closely with product, cloud, and engineering teams to deliver scalable AI solutions for safety-critical environments.
Key Responsibilities
- · Develop, train, and optimize computer vision models for real-time object detection and tracking.
- · Work with YOLO, RT-DETR, or similar object detection frameworks.
- · Prepare, clean, and annotate datasets for model training.
- · Fine-tune pre-trained models and improve detection accuracy.
- · Evaluate model performance using precision, recall, mAP, and latency metrics.
- · Optimize inference for edge devices and GPU-based deployments.
- · Integrate AI models into production applications.
- · Work with video streams (RTSP, CCTV, IP Cameras).
- · Collaborate with software engineers for deployment and API integration.
- · Troubleshoot model performance and continuously improve detection accuracy.
- · Maintain documentation and experiment tracking.
Computer Vision
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