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 ML
Strong proficiency in C++ and Python (PyTorch / TensorFlow)
Deep understanding of CV models : object detection, semantic segmentation, keypoint detection
Knowledge of traditional CV concepts (SIFT, camera calibration, fundamental matrix)
Experience with production ML pipelines, from dataset collection to deployment
Proficiency in debugging and profiling tools (Nvidia Nsight, etc.)
Excellent problem-solving and documentation skills
Preferred Qualifications
Publications in top-tier CV / ML conferences or journals
Experience with both TensorFlow and PyTorch
Track record of building algorithms from scratch
What We Value
Hands-on approach to data analysis and optimization
Ability to iterate quickly in early-stage development
Clear technical communication and documentation
Compensation ₹8-24 LPA, commensurate with experience
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Computer Vision Engineer • Bengaluru, Republic Of India, IN
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