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 finetune models with Huge Dataset
Implementation of the SOTA Architectures for Model Training
Work closely with the R and amp;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 StateoftheArt Models like YOLOseries 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 todo lists and databased decisionmaking.
We encourage team bonding through biweekly 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 companysponsored 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 cuttingedge technology we encourage you to apply for this exciting opportunity.