Senior Computer Vision Engineer

Job Title: Senior Computer Vision Engineer Experience: 6+ Years Location: Remote Role Overview We are seeking a highly skilled Senior Computer Vision Engineer with 6+ years of experience in Computer Vision, Deep Learning, and AI model optimization. The ideal candidate should possess deep expertise in computer vision architectures, model training, point cloud processing, and performance optimization. This role involves developing, training, and optimizing advanced computer vision models for real-world applications. Key Responsibilities - Design, develop, train, and optimize advanced computer vision and deep learning models. - Work extensively with point cloud data for 3D vision, spatial analytics, and AI applications. - Build and improve computer vision pipelines for classification, detection, segmentation, and 3D understanding tasks. - Select and optimize model architectures, layers, loss functions, activation functions, and optimizers. - Evaluate model performance using appropriate computer vision metrics and benchmarking techniques. - Perform hyperparameter tuning and model optimization to improve accuracy, latency, and scalability. - Analyze model performance and troubleshoot training, inference, and deployment issues. - Collaborate with AI/ML engineers, data scientists, and product teams to deliver production-ready solutions. - Research and implement state-of-the-art computer vision and point cloud processing techniques. Required Skills & Experience - 6+ years of experience in Computer Vision and Deep Learning. - Strong expertise in: - Computer Vision architectures and layers - CNNs, Object Detection, Image Classification, Segmentation - Point Cloud Processing and 3D Vision - Model Training and Optimization - Loss Functions and Activation Functions - Optimizers (Adam, SGD, RMSProp, etc.) - Performance Metrics (IoU, Precision, Recall, F1 Score, mAP, etc.) - Hands-on experience with PyTorch, TensorFlow, or similar deep learning frameworks. - Strong understanding of model evaluation, tuning, and performance optimization. - Proficiency in Python and scientific computing libraries. - Experience working with large datasets and GPU-based training environments. Preferred Skills - Experience with LiDAR, 3D Vision, Autonomous Systems, or Robotics. - Familiarity with PointNet, PointNet++, Open3D, PCL, or similar frameworks. - Experience with distributed training and model deployment. - Knowledge of MLOps, model serving, and cloud-based AI platforms. Key Competencies - Computer Vision - Deep Learning - Point Cloud Processing - Model Training & Optimization - PyTorch / TensorFlow - 3D Vision & LiDAR - AI/ML Engineering - Performance Tuning - Python Programming - Research & Innovation