Wobot.ai - Computer Vision Engineer - Deep Learning (1-4 yrs)

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.