Computer Vision/Deep learning engineer

Published on Jul 09, 2021

Innohub

A Product company with office in Kyiv, Ukraine.

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Experience:

1-3 years

Job Type:

Full-Time

Remote

Specializations:

Data Engineering

Deep Learning

Data Science & AI

What You Will Do Responsibilities

— Leading the Computer vision team for model's selection, training, and finetuning,
— Searching/designing and preparing datasets for models training,

— Research, Design, development, and training of Computer Vision models for the following modules:

Identification of guns, pistols, knifes in video feeds,
People detection and recognition:
use case: face recognition - if the person was previously caught on scamming,
use case: more than 1 person present near the screen of ATM,
Behavior recognition models:
use case: person in the video frame is trying to fix/scam ATM device,
use case: fight detection,

— Participating in architectural design of a highly efficient modular platform for distributed processing of raw and compressed video feeds from 21k-200k ATMs worldwide.
— Participating in the process of testing of trained models in the fields and incremental quality improvement.
— Interaction with the product owner.

What You Should Bring

Must-have

— Technologies:
Mediapipe framework (Skeleton models and behavior recognition)
yolov5
CNNs
Torch
Python
OpenCV
Experience with models on edge devices

— Experience:
2+ years in CV applications;
previous experience in building high load computer vision applications;
previous experience in training and deploying of light models on EDGE device;
models distillation.

Nice-to-have

— Prior knowledge of C/C++/C#/Go as second language;
— Experience of development and deploying large scale distributed computer vision applications;
— Experience of development and deploying large scale distributed projects with Machine and Deep learning models;
— Experience with PyTorch and/or Tensorflow or other ML/DL libraries, (DLIB, mediapipe, scipy);

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