Computer Vision Engineer- YOLO

Job Title: SLAM & Computer Vision Engineer

Experience Required: 4–8 Years Experience

Job Location: Mumbai / Pune

Education: B.Tech / M.Tech in Computer Science, Electronics, AI/ML, Vision AI, or a related engineering discipline

We’re looking for a strong Computer Vision engineer to build and scale production-grade AI systems for real-world environments.

Core Requirements

• Hands-on experience with object detection & segmentation (YOLO, SAM, or similar)
• Strong fundamentals in CNNs, vision transformers, and attention mechanisms
• Experience training models on custom datasets (annotation, augmentation, class imbalance)
• Practical knowledge of semantic/instance segmentation in complex environments
• Scalable video processing: distributed inference, GPU pipelines, frame sampling
• Model optimization for production (ONNX, TensorRT, quantization, pruning)
• Cloud-based GPU deployment (AWS/SageMaker) with cost optimization

Good to Have

• Experience with BIM/CAD or 2D–3D alignment
• MLOps: model tracking, CI/CD, monitoring, and drift detection
• Defect detection (cracks, misalignment, etc.)
• Human-in-the-loop workflows & model explainability

Tech Stack

• Python (PyTorch preferred), OpenCV, NumPy
• Experience with video processing (FFmpeg, H.264/H.265)