About the role
Artificial Intelligence Resercher (Computer vision)
Responsibility
* Work on Various SOTA Computer Vision Models, 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.
* Programming skills with multi-threaded GPU CUDA computing and API Solutions.
* Proficient with Training of Detection, Classification & Segmentation Models with TensorFlow,
Pytorch, MX Net etc
**Required Skills
**
* Strong development skills required in Python and C++.
* Ability to architect a solution based on given requirements and convert the business requirements into a technical computer vision problem statement.
* Ability to work in a fast-paced environment and coordinate across different parts of different projects.
* Bringing in the technical expertise around the implementation of best coding standards and
practices across the team.
* Extensive experience of working on edge devices like Jetson Nano, Raspberry Pi and other GPU powered low computational devices.
* Experience with using Docker, Nvidia Docker, Nvidia NGC containers for Computer Vision Deep
Learning
* Experience with Scalable Cloud Deployment Architecture for Video Analytics(Involving Kubernetes
and or Kafka)
* Good experience with any of one cloud technologies like AWS, Azure and Google Cloud.
* Experience in working with Model Optimisation for Nvidia Hardware (Tensors Conversion of both TensorFlow & Pytorch models.
* Proficient understanding of code versioning tools, such as Git.
* Proficient in Data Structures & Algorithms.
* Well versed in software design paradigms and good development practices.
* Experience with Scalable Cloud Deployment Architecture for Video Analytics(Involving Kubernetes
and or Kafka).
Skills:- Natural Language Processing (NLP), Computer Vision, recommendation algorithm, Python and PyTorch
