Find Popular Deep Learning Remote Jobs

Find and apply on popular online Deep Learning open jobs posted on Toogit. Apply for more than 354 curated remote Deep Learning jobs. Work from home or remote places around the world.



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Developer needed for basic html single web page

Hourly - Posted at 4 hours ago

$3.56
Hourly
Nov 1, 2022
Expiry

quot;1. You will solve the problem detailed below by creating a flowchart with a corresponding pseudocode.2. The flowchart should be created using draw.io - or similar tool such as Flowgorithm - and then exported into an image file.3. The pseudocode should be typed on a text file using a simple text editor like Notepad.4. Hand d...read more

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Wordpress expert required to design and develop edtech prototype

Hourly - Posted at 5 hours ago

$17.08
Hourly
Oct 23, 2022
Expiry

ProjectBuilding a content website on wordpress business plan CSS igniter premium themeElementor page builder Our business: In Practise interviews former senior business executives about industries and businesses for business school students. We are an education and learning business. We are building a prototype with 20 hours of...read more

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Engineer/tech writer to help building Git for ML

Fixed - Posted at 6 hours ago

$355.83
Fixed
Nov 1, 2022
Expiry

Project:Lead the documentationWe are looking for a long term contract with an engineer who likes to write technical content (references, tutorials, etc) for other engineers or a tech writer with a strong engineering experience. We expect to find someone who has experience with Git, Markdown, code style, etc. We would really like...read more

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Computer Vision Developer

Hourly - Posted at 11 hours ago

$19.93
Hourly
Oct 9, 2022
Expiry

Our small company search a developer, who can develop software for recognition road marking lane.

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Machine learning with knowledge of Capsule network, YOLOv3

Fixed - Posted at one day ago

$35.58
Fixed
Oct 8, 2022
Expiry

Need a person with expertise level in understanding Capsule network, YOLOv3. Need to work on combining the layers of CapsNet and YOLOv3 to improve the accuracy on COCO dataset

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