Computer Vision Engineer
Role & Responsibilities
- Design and implement computer vision algorithms and downstream processing
- Build ML pipelines for data handling, training, and validation
- Develop robust, efficient, well-tested production code
- Analyze performance metrics and optimize models
Required Qualifications
BTech / MTech with proven experience in computer vision and MLStrong proficiency in C++ and Python (PyTorch / TensorFlow)Deep understanding of CV models : object detection, semantic segmentation, keypoint detectionKnowledge of traditional CV concepts (SIFT, camera calibration, fundamental matrix)Experience with production ML pipelines, from dataset collection to deploymentProficiency in debugging and profiling tools (Nvidia Nsight, etc.)Excellent problem-solving and documentation skillsPreferred Qualifications
Publications in top-tier CV / ML conferences or journalsExperience with both TensorFlow and PyTorchTrack record of building algorithms from scratchWhat We Value
Hands-on approach to data analysis and optimizationAbility to iterate quickly in early-stage developmentClear technical communication and documentationCompensation ₹8-24 LPA, commensurate with experience
Skills Required
object detection , Tensorflow, Pytorch, camera calibration , Python