Wobot.ai - Computer Vision Engineer - Deep Learning

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. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/25/2024