Computer Vision Engineer
Computer Vision Engineer
Posted on :
22-08-2025
Employer Active
1 Vacancy
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Job Description
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 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 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.
Employment Type
Full Time
Key Skills
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