Computer Vision

**AI/ML Developer**

**Location: Indore/Work from Home**

**About Us**

**VideoVerse** is a video technology company that is building a suite of powerful AI-based video tools for both enterprises and individual content creators.
- **Magnifi**, our broadcaster-facing product, is on a mission to enable seamless, smart broadcasting and content distribution in a multichannel world. Our flagship offering uses AI/ML technology to help Sports and Entertainment broadcasters create key moment clips from Livestream videos and post them to social media and apps instantly. For our clients, this has meant 4.2x higher engagement, 60% increase in viewership time, and, given that we process millions of videos, 1B+ hours in manpower savings.
- Styck **and **Illusto*, our consumer products, make it easy for influencers, small businesses, and just about anyone with access to a web browser to easily stream video to multiple platforms, and edit clips online with speed, ease, and increasingly, the power of AI.
- We are revolutionizing how content is created, distributed, and consumed, helping enterprises and individuals create impact and tell immersive stories across all media genres. We are a fast-growing, diverse, and vibrant team that works hard and are passionate about our vision. We work with some of the biggest names in broadcasting (3 of the top 5 in India and growing quickly in Europe and the USA) and on some of the biggest sporting events in the world like the Indian Premier League (T20IPL), multiple European football leagues, and much more.

**Videoverse **recently raised **46.8 Million **in **series B **funding and is hiring across all positions.

**Why work with us**:

- We are passionate about our vision and our product and have a young, diverse, and vibrant team working towards this vision.
- We work with some of the biggest names in broadcasting
- We work on some of the biggest sporting events in the world
- We are growing daily-we have scanned 1650m videos, delivered 4.2x higher engagement and 60% growth in viewership time for our clients, along with 1280 Mn hours of manual labor saved

**What are we looking for**:

- Work Actively as a part of the Computer Vision and Deep Learning Team to Train Computer Vision Models
- Work closely with the Data Sampling Team for Appropriate Dataset Collection
- Work on Challenging Problem Statements to fine-tune models with a Huge Dataset
- Implementation of the SOTA Architectures for Model Training

**What are we looking for**
- Proven work experience of 2-4 years.
- 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 of the fundamentals of Deep Learning, e.g. CNNs, Regularization Techniques, etc.
- Familiarity with State-of-the-Art Models like YOLO-series, Efficient NET /Efficient DET, etc.
- Experience with using Docker containers for Computer Vision/Deep Learning.
- Experience in working with Model Optimization techniques like pruning.
- Experience in FP16/Mixed Precision and INT8 Optimized Training.
- Experience with using Nvidia-Docker, Nvidia NGC, Nvidia TLT containers for Computer Vision/Deep Learning

**Salary**: ₹1,000,000.00 - ₹1,500,000.00 per year

**Benefits**:

- Flexible schedule
- Health insurance
- Leave encashment
- Paid sick time
- Paid time off
- Provident Fund
- Work from home

Schedule:

- Day shift
- Morning shift

Application Question(s):

- What are your Salary expectations in LPA?
- How much notice period do you have to serve in months?
- How old are you?

**Education**:

- Bachelor's (preferred)

**Experience**:

- total work: 2 years (required)