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.

Minimum Qualification

Bachelor's degree in software engineering/ Computer Science or related discipline with 5 years of work experience or Master’s in relevant disciplines with 5 years of experience or PhD degree in relevant disciplines with 2 years of work experience.

Preferred Qualifications 5 years hands-on experience designing and training computer vision models in production or applied research environments. Proficiency in Python and PyTorch (or TensorFlow); solid foundation in OpenCV and NumPy. Proficiency in end-to-end MLOps practices. In-depth theoretical and practical grasp of Classic & modern CNNs (ResNet, EfficientNet, ConvNeXt).

Vision

Transformers & attention mechanisms (ViT, Swin, DETR, RT-DETR). Contemporary real-time detector architectures (YOLO*, RT-DETR, SSD). Excellent communication skills with the ability to work cross-team. Good to have Experience with video streaming protocols and pipelines (RTSP, WebRTC, GStreamer, FFmpeg, or NVIDIA DeepStream).

Travel Percentage: None Experience Level Senior Level

📌 Senior Computer Vision Software Engineer (Gurugram)
🏢 Stryker India Private
📍 Gurugram