Sr. Computer Vision Research Engineer

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 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 ₹16-36 LPA, commensurate with experience