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: NA

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