AI & Machine LearningFull-timeOn-site

Computer Vision Engineer

Build advanced computer vision systems at APPIT Software in Hyderabad, developing real-time object detection, image understanding, and visual AI solutions for enterprise and industrial applications.

Hyderabad, India

Full-time

AI & Machine Learning

Responsibilities

Develop and deploy computer vision models for object detection, segmentation, and recognition
Build real-time video analytics pipelines for industrial and enterprise applications
Train and fine-tune vision transformers and CNN-based architectures on custom datasets
Implement image preprocessing, augmentation, and quality enhancement pipelines
Optimize vision models for edge deployment and real-time inference
Integrate multimodal vision-language models for document understanding and visual QA

Requirements

3-5 years of experience in computer vision and deep learning
Strong proficiency in PyTorch and experience with vision model architectures (ViT, YOLO, SAM)
Experience with image and video processing using OpenCV and related libraries
Knowledge of object detection, semantic segmentation, and pose estimation techniques
Familiarity with annotation tools and dataset management pipelines
Understanding of model optimization for inference (TensorRT, ONNX, CoreML)

Nice to Have

Experience with 3D vision or point cloud processing
Knowledge of multimodal models (CLIP, LLaVA)
Hands-on experience with edge deployment (Jetson, mobile)

Skills

PythonPyTorchOpenCVYOLOVision TransformersTensorRTONNXImage Processing

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Related Positions

AI & Machine LearningHybrid

Computer Vision Engineer

Build advanced computer vision systems at APPIT Software in Hyderabad, developing real-time object detection, image understanding, and visual AI solutions for enterprise and industrial applications.

Hyderabad, India

Full-time

AI & Machine Learning

Responsibilities

Develop and deploy computer vision models for object detection, segmentation, and recognition
Build real-time video analytics pipelines for industrial and enterprise applications
Train and fine-tune vision transformers and CNN-based architectures on custom datasets
Implement image preprocessing, augmentation, and quality enhancement pipelines
Optimize vision models for edge deployment and real-time inference
Integrate multimodal vision-language models for document understanding and visual QA

Requirements

3-5 years of experience in computer vision and deep learning
Strong proficiency in PyTorch and experience with vision model architectures (ViT, YOLO, SAM)
Experience with image and video processing using OpenCV and related libraries
Knowledge of object detection, semantic segmentation, and pose estimation techniques
Familiarity with annotation tools and dataset management pipelines
Understanding of model optimization for inference (TensorRT, ONNX, CoreML)

Nice to Have

Experience with 3D vision or point cloud processing
Knowledge of multimodal models (CLIP, LLaVA)
Hands-on experience with edge deployment (Jetson, mobile)

Skills

PythonPyTorchOpenCVYOLOVision TransformersTensorRTONNXImage Processing

Computer Vision Engineer

Responsibilities

Requirements

Nice to Have

Skills

Apply for this position

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