Data Scientist
Computer Vision Engineers for Intelligent Visual Solutions
Our Computer Vision Engineers specialize in designing and deploying sophisticated computer vision systems that enable machines to interpret and understand visual data. With expertise in image processing, object detection, depth perception, and real-time video analytics, they create advanced visual solutions that drive automation, precision, and efficiency.
Experience and Skills
Our Computer Vision Engineers bring extensive experience in image and video analysis, object detection, depth perception, and model optimization. They specialize in:
- Computer Vision Techniques & Algorithms
- Object Detection & Tracking: YOLO, SSD, Faster R-CNN, DeepSORT
- Image Segmentation: Mask R-CNN, U-Net, DeepLab
- Feature Extraction & Matching: SIFT, SURF, ORB
- 3D Vision & Depth Estimation: Stereo Vision, LiDAR, Depth Sensors, ToF Cameras
- Depth Mapping & Point Cloud Processing: LiDAR-based depth estimation, point cloud registration, and segmentation
- Stereo Vision Systems: Calibration, disparity map computation, and depth reconstruction
- Multi-Modal Vision Systems: Integration of visual, depth, and infrared data for enhanced perception
- Advanced Image Processing
- Image Classification & Recognition
- Image Enhancement, Denoising, and Augmentation
- Optical Character Recognition (OCR)
- Video Analytics
- Motion Detection & Tracking
- Activity Recognition & Gesture Detection
- Real-Time Video Processing (using OpenCV, GStreamer)
- Deep Learning for Computer Vision
- Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs)
- Transfer Learning for Vision Applications (VGG, ResNet, Inception)
- GANs for Image Generation and Augmentation
- Model Optimization & Inference
- Model Compression, Pruning, Quantization
- Hardware Acceleration: TensorRT, CUDA, OpenVINO
- Cloud & Deployment
- AWS SageMaker, Google Vertex AI, Azure ML, Docker, Kubernetes
- Edge AI & Embedded Systems
- NVIDIA Jetson, Qualcomm Snapdragon, OpenCV for Embedded Solutions
Project Contributions
Our Computer Vision Engineers have contributed to a variety of vision-driven applications, such as:
- Developing real-time object detection systems for autonomous vehicles and drones, utilizing depth sensors and stereo vision cameras for enhanced spatial awareness.
- Designing depth-aware computer vision systems for applications like 3D mapping, robotic navigation, and augmented reality using LiDAR and stereo vision.
- Building image classification and recognition solutions for industries like retail, healthcare, and manufacturing, integrating both visual and depth data.
- Implementing video surveillance systems with motion detection, activity recognition, and 3D reconstruction using depth sensors.
- Optimizing computer vision models for edge devices and low-latency applications, especially for real-time 3D data processing.
- Creating OCR systems for document processing, extracting text from scanned images, and providing valuable metadata.
Our Thorough Selection Process
We ensure that only top-tier AI talent joins our team through a comprehensive hiring process:
- Technical Evaluation: Hands-on coding challenges in AI and ML.
- Knowledge-Based Testing: In-depth AI framework, model optimization, and deployment assessments.
- HR Round: A behavioral interview to assess cultural fit and interpersonal skills.
- Project Assessment: Candidates demonstrate their ability to build AI models for real-world use cases.
- Final Interview with Our CTO and Founder: A deep technical discussion to ensure expertise, problem-solving skills, and alignment with the company’s vision.
Dedicated On-Site Work for Seamless Execution
- All our Engineers work full-time from our office, ensuring smooth collaboration.