Senior Software Engineer-Computer vision

Work Flexibility: Hybrid

We are seeking a Computer Vision/AI Engineer to research, architect, and deploy state-of-the-art vision models for high-throughput, low-latency computer vision pipelines. In this role, you will work on problems spanning real-time object detection, multi-class classification, tracking, and instance segmentation. You will bridge cutting-edge applied research with edge/cloud production engineering—experimenting with advanced CNN backbones, Vision Transformers (ViTs), and multimodal architectures while optimizing inference speed for real-world constraint.

Technical Responsibilities

• Evaluate, benchmark, and adapt frontier vision architectures (e.g., YOLO variants, R-CNN, ViTs, Transformers, MobileNet backbones).
• Design, train, and fine-tune computer vision models using PyTorch, TorchVision etc.
• Architect data preprocessing, augmentation and annotation workflows for imbalanced and noisy visual datasets.
• Optimize deep learning models for strict latency/throughput budgets using TensorRT, ONNX Runtime, DeepStream etc.
• Apply model compression techniques including post-training quantization (INT8/FP16) and knowledge distillation.
• Implement active learning loops and continuous monitoring systems to track data drift and edge-case model failures in production.