Sr. AI Computer Vision Engineer (2 - 5 yrs experienced)

Job Description

Sr. AI/ML Computer Vision Engineer - (2-5 yrs Experienced) Location: Ahmedabad - Onsite Experience Level: 2-5 yrs Experienced About the Role We are seeking a highly skilled AI Computer Vision Engineer to join our team and work on cutting-edge vision-based AI solutions. The ideal candidate will have hands-on experience in developing, optimizing, and deploying computer vision models for real-world applications. You will work closely with our AI, IoT, and product teams to build intelligent systems that can see, detect, track, and understand visual data at scale. Key Responsibilities Develop and implement computer vision algorithms for object detection, classification, segmentation, and tracking. Build models using deep learning frameworks such as PyTorch, TensorFlow, or ONNX. Work on image/video preprocessing, transformation pipelines, and annotation workflows. Design, train, evaluate, and optimize neural network architectures for performance and accuracy. Integrate CV models with IoT devices, cloud systems, or edge deployments (GPU, Jetson, Coral, etc.). Collaborate with cross-functional teams to define requirements and deliver production-ready solutions. Research and experiment with state-of-the-art vision models (YOLO, Mask R-CNN, DETR, ViT, SAM, etc.). Implement real-time inference, model compression, quantization, and accelerated inference. Troubleshoot model performance, latency, data quality, and deployment issues. Document technical work, maintain clean code, and ensure scalable model architectures. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Computer Vision, Robotics, or related field. Strong programming skills in Python and experience with ML/CV libraries: PyTorch, TensorFlow, OpenCV, NumPy, Scikit-learn. Solid understanding of CNNs, Vision Transformers (ViT), and deep learning fundamentals. Experience with model training, tuning, dataset preparation, and annotation tools. Hands-on experience with edge AI, GPU acceleration, or real-time CV pipelines. Familiarity with algorithms for feature extraction, image registration, tracking, and 3D vision. Knowledge of Docker, Git, Linux, and cloud services (AWS/Azure/GCP). Preferred Qualifications Experience with SLAM, 3D reconstruction, LIDAR, or sensor fusion. Experience deploying models on NVIDIA Jetson, Raspberry Pi, or embedded systems. Hands-on with ONNX Runtime, TensorRT, or OpenVINO for optimization. Knowledge of data augmentation, synthetic data generation, or simulation tools. Understanding of IoT protocols, robotics systems, or autonomous navigation.