Computer Vision Engineer

Responsibilities Work Actively as a part of the Computer Vision and Deep Learning Team to Train Computer Vision Models Work Closely with the Data Science Team for Appropriate Dataset Curation Work on Challenging Problem Statements to fine-tune models with Huge Dataset Implementation of the SOTA Architectures for Model Training Work closely with the R&D Team towards improving model accuracy and precision for CCTV cameras Requirements Proficient with Training of Detection/Classification/Segmentation Models with Tensorflow/PyTorch Good understanding of Dataset Quality for Computer Vision Applications. Strong understanding of Model Training Dynamics. Should be able to find out the error and resolve it based on training/eval metrics. Good Theoretical and Practical Knowledge with the fundamentals of Deep Learning, eg. CNNs, Regularization Techniques, etc. Familiarity with State-of-the-Art Models like YOLO-series, Efficient Net/EfficientDet, etc. Experience with using Docker containers for Computer Vision/Deep Learning. How We Work We use Microsoft Teams for daily communication, conduct daily standups and team meetings over Teams. We value open discussion, ownership, and a founder mindset. We prioritize design, amazing UI/UX, documentation, to-do lists, and data-based decision-making. We encourage team bonding through bi-weekly town halls, destressing sessions with a certified healer, and fun company retreats twice a year. We offer a 100% remote workplace model, health insurance, top performers eligible for attractive equity options, mental health consultations, company-sponsored upskilling courses, growth hours, the chance to give back with 40 hours for community causes, and access to a financial advisor. Wobot is an Equal Opportunity Employer If you have a passion for developing innovative computer vision solutions and want to work on cutting-edge technology, we encourage you to apply for this exciting opportunity. Show more Show less