Sr. Computer Vision Research Engineer

As a Computer Vision Engineer, you will be responsible for designing and implementing computer vision algorithms and downstream processing. You will also be building ML pipelines for data handling, training, and validation. Your role will involve developing robust, efficient, and well-tested production code. Additionally, you will be analyzing performance metrics and optimizing models. Your qualifications should include a BTech/MTech with proven experience in computer vision and ML. You should have a strong proficiency in C++ and Python, particularly in PyTorch and TensorFlow. A deep understanding of CV models such as object detection, semantic segmentation, and keypoint detection is essential. Knowledge of traditional CV concepts like SIFT, camera calibration, and the fundamental matrix is also required. Experience with production ML pipelines, from dataset collection to deployment, is expected. Proficiency in debugging and profiling tools like Nvidia Nsight is preferred. Your problem-solving and documentation skills should be excellent. Preferred qualifications for this role include publications in top-tier CV/ML conferences or journals, experience with both TensorFlow and PyTorch, and a track record of building algorithms from scratch. In this position, we value a hands-on approach to data analysis and optimization. Your ability to iterate quickly in early-stage development and provide clear technical communication and documentation will be crucial. If you join our team, you can expect a compensation ranging from 16-36 LPA, commensurate with your experience.,