Computer Vision Intern Fresher Jobs In Bengaluru, Wobot.ai
Chat
X
loading
work
place

FIND JOBS

Post a Job
Wobot.ai

Computer Vision Intern

Wobot.ai

0 - 0 Years   |   3 - 4 LPA   |   Bengaluru
Resume Buddy
Create a professional resume and increase your chances of landing this job.
Resume Buddy
Analyze your resume and get a detailed feedback to make it better.
Mock Interview
Get a realistic interview experience and feedback while at home using our AI-based tool.
Job Description
About The Company:
Wobot.ai empowers businesses by autonomously monitoring process compliance across safety, security, hygiene, and customer experience. Our AI-Powered Video Analytics platform comes with 100s of pre-defined checklists and tasks tracked through existing CCTV cameras. This one-stop platform provides you with the comfort of viewing all cameras, events, and incidents on a single application while giving you actionable insights in real-time.

Website: http://wobot.ai

Job Location: Remote

Desired Experience: Freshers

Course Specialization: B.E/B.Tech(CS/IT)/ B.SC /M.SC /BCA /MCA

Target Batch: 2021,2022,2023

Stipend: INR 10,000

Duration: 6 Months

Salary: INR 3-4 LPA

Tentative date of interview: August/September

Tentative date of joining: Immediate

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&D Team towards improving model accuracy and precision for CCTV cameras.

Skills Required:
- 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.
- Good to have experience in working with Model Optimization techniques like Pruning.
- Good to have experience in FP16/Mixed Precision and INT8 Optimized Training.
- Good to have experience with using Nvidia-Docker, Nvidia NGC, Nvidia TLT containers for Computer Vision/Deep Learning.

Interview Process:
- Online Assessment
- Interview Round -1
- Interview Round -2


Education:

B.Sc., B.Tech/B.E., BCA, M.Sc., MCA

Work Experience:

0 - 0 Years

Salary

3 - 4 LPA

Industry

IT

Resume Buddy
Create a professional resume and increase your chances of landing this job.
Resume Buddy
Analyze your resume and get a detailed feedback to make it better.
Mock Interview
Get a realistic interview experience and feedback while at home using our AI-based tool.
Please fill in the information below.

I agree that my application will only be submitted after I complete the concise test sent to my inbox.
Confirm
Cancel
  • Be a part of AMCAT pool
  • Get Feedback Report
  • Get certified for job roles
This job requires you to have an active AMCAT subscription.
Buy AMCAT and open premium jobs for you.
Your AMCAT subscription expired on 09/05/2025. Extend your subscription and apply to unlimited premium jobs.
  • Be a part of AMCAT pool
  • Get Feedback Report
  • Get certified for job roles
× SUBSCRIPTION EXPIRED!
×
Filters
Our website uses cookies to ensure you get the best experience. By browsing the website you agree to our use of cookies. Please note, we do not collect sensitive data and child data. See Privacy Policy.