Applied Computer Vision Engineer

Job Description

A typical day in office :

• You are developing video perception algorithms for unsolved problems in the technology area perception for autonomous drive vehicles.
• You have to explain why something works or not using data. And what next for the things not working with the reduced cost of labelling.
• You have to find that elusive data through innovative algorithms,

Your job would involve

Skills : Must have : 1. Strong knowledge in DL (3yrs min)(few-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, large scale image and video detection and recognition)2. Hands on experience in Full stack Vision / Image related projects in production (3yrs min)

Data : Spark, Hadoop (user level), visualization, data preparation, data handling, understanding data

Model : tensor flow 2+ and PyTorch

Deployment : docker, flask, kubernets

Cloud deployment : Azure / AWS3. Experience in Python4. Tool :

GiT

Working with GPU

Linux

Good to have : Coding :

Multi-processing and multi-threading (application)

Understanding of and C++ (for development and deployment)

Sound knowledge of custom accelerator deployment (OpenVINO, Jetson)

Tooling :

Good understanding of Visual studio code

Skills Required

Linux, Gpu