Computer Vision Engineer

Model Development & Deployment

• Develop and deploy computer vision models for object detection, image
classification, segmentation, and OCR.
• Build and fine-tune deep learning models using PyTorch and TensorFlow
for production-grade applications.
• Integrate trained models into end-to-end products and pipelines via APIs
and microservices.
Real-Time Image & Video Processing
• Design and implement real-time image and video processing solutions for
live inference use cases.
• Work with video streams, frame-level analysis, and low-latency

processing pipelines.
• Apply YOLO-based architectures for fast and accurate real-time object
detection and tracking.
Model Optimization & Accuracy
• Continuously optimize model performance, inference speed, and accuracy
through experimentation and tuning.
• Apply techniques such as quantization, pruning, and knowledge
distillation to production models.
• Conduct ablation studies and benchmark models across datasets to ensure
reliability.