Description:

This is a senior role where you will be responsible for leading a team of computer vision developers and work on the below mentioned roles and responsibilities.

Roles and Responsibilities:

• Analyze and Improve the Existing Data, Training & Inference Architecture for existing Use-Cases. 
• Pioneer Novel Algorithms for new use-cases to develop an elegant and robust solution to solve problem statements using Computer Vision.
• Work on Model Optimization to improve Performance & Throughput for the same.
• Work on Various SOTA Dataset Augmentation & Dataset Generation Techniques that help improve model accuracy & precision. 
• Work on development & improvement of End-to-End Pipeline use-cases running at scale.
• Work with the existing teams to set up a re-training pipeline that iteratively improves existing model accuracy based on in-coming datasets.

Requirements:

• Proficient with Training of Detection/Classification/Segmentation Models with Tensorflow/PyTorch
• Good Theoretical and Practical Knowledge with the fundamentals of Deep Learning, eg. CNNs, Regularization Techniques, etc.
• Proficient in developing Deep Learning Model Pipelines
• Deployment of Deep Learning Models at Scale for live processing of video feeds (RTSP).
• Experience with Model Servers: Triton Inference Server (Preferred), TensorFlow Serving, or Torch Serve. 
• Experience in working with Model Optimization for  Nvidia Hardware (TensorRT Conversion of both Tensorflow & Pytorch models)
• Experience with both Cloud as well as Edge Deployment of Deep Learning Models (Preferably at Scale).
• Experience in FP16/Mixed Precision and INT8 Optimized Inference on Nvidia Hardware
• Experience with using Docker, Nvidia-Docker, Nvidia NGC containers for Computer Vision/Deep Learning.
• Proficient in Data Structures & Algorithms
• Proficient understanding of code versioning tools, such as (Git / Mercurial / SVN)
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Knowledge of a state management library such as Redux, etc
  
  Good to have
• Experience with Scalable Cloud Deployment Architecture for Video Analytics (Involving Kubernetes and/or Kafka)
• Experience in INT8 Training (Quantization Aware Training)
• Experience/Knowledge of TensorFloat32 and BFloat16 Training/Inference

How we work?

• Microsoft Teams is our go to tool for daily communication
• We conduct daily standups and team meetings over Teams
• We encourage open discussion and debate, and place tremendous value on ownership and founder mindset.
• We value: design + amazing UI/UX, documentation, To-Do lists and Data based decision.
• We're distributed but not alone! We might be working around the world but we believe in the value in getting to know each other outside of working hours
• We get together for a bi-weekly townhall and frequent destressing session with a certified healer!

Perks and Benefits:

• 100% remote workplace model
• Health Insurance of Rs. 3L
• Top performers eligible for attractive equity options
• Mental Health Consultations with heyy app.
• Company sponsored upskilling courses
• Growth Hours: 40 hours every year
• The chance to give back with 40 hours for community causes
• Fun company retreats twice a year
• Access to a Financial Advisor