Tech Lead-Ai Chatbot (with Python /JS) Job at Digital Umuganda - Career Opportunity in Rwanda
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Vacancy title:
Tech Lead-Ai Chatbot (with Python /JS)

[ Type: FULL TIME , Industry: Information Technology , Category: Computer & IT ]

Jobs at:

Digital Umuganda

Deadline of this Job:
02 January 2021  

Duty Station:
Within Rwanda , Kigali , East Africa

Summary
Date Posted: Wednesday, December 02, 2020 , Base Salary: Not Disclosed


JOB DETAILS:
Background
DIGITAL UMUGANDA is Artificial intelligence and open data company currently focusing on AI Natural Language Processing (NLP) to democratize access to information and services hence reducing the digital divide gap. This is done by being a platform for international commons initiatives such as Common voice linking global efforts to local communities and contexts as well as developing solutions that enable this mission. Digital Umuganda projects align with the national digital smart master plans with a focus on projects with a sustainable development impact. Projects .

Mbaza AI Chatbot
In collaboration with its partners and consortium members, Digital Umuganda presented the solution of an AI-powered chatbot to ease information and knowledge dissemination on COVID-19 in Rwanda at the #SmartDevelopmentHack, an international hackathon organized by the German Federal Ministry for Economic Cooperation and Development (BMZ). This solution was selected as one of 9 winning solutions of the hackathon. The chatbot will enable Rwandans to ask individual questions regarding COVID-19 and receive verified reliable answers 24/7 from anywhere. The solution will build on existing COVID-19 information systems operating in Rwanda, including a COVID-19 call center run by the Rwanda Biomedical Center (RBC) and a USSD chatbot to conduct self-screening. The chatbot will be developed over 5 iterations – from a simple rule-based text chatbot to a contextual voice-based chatbot in Kinyarwanda. In a sixth iteration, the chatbot will be scaled to Kenya to also operate in Kiswahili.


Open voice datasets
Digital Umuganda’s is building open datasets and NLP solutions. To this end Digital Umuganda has been building anOpen Kinyarwanda Voice Dataset is an initiative to build freely publicly available speech to text data in Kinyarwanda. Digital Umuganda in collaboration with the GIZ, Mozilla & Government institutions built a dataset of over 1,200 hours and 1,200,000 sentences through crowd-sourcing. The initiative worked with voluntary contributors from local universities as well as the general public donating sentences and voices under Creative Commons 0 License. The objective is to give innovators, researchers and developers access to a key infrastructure to develop voice technology in Kinyarwanda. The end goal is to reduce barriers to access information and services and build inclusive digital solutions that can be accessed by marginalized communities especially in areas with low literacy levels as well as people living with disabilities.


Required qualifications, competences, and experience
You are excited about AI and Natural Language Processing software that allows machines to understand the unstructured text. You have programming experience in several programming languages and you have a good understanding of the machine learning (ML) foundations. You are good at finding solutions or workarounds when the obvious is not in sight.


Job Education Requirements: Not Specified


Job Experience Requirements: Not Specified


Work Hours: 8

 

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Job application procedure
To apply please click here Interested candidates should submit a motivation letter and CV by e-mail to recruitment@digitalumuganda.com  not later than 02nd January 2021 https://www.jobinrwanda.com/sites/default/files/job%20details%20files/TECH%20LEAD-Digital%20Umuganda-JD85537471d5dcbf96748385fbe0cd4df9.pdf  

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Job Info
Job Category: Computer/ IT jobs in Rwanda
Job Type: Full-time
Deadline of this Job: 02 January 2021
Duty Station: Rwanda
Posted: 02-12-2020
No of Jobs: 1
Start Publishing: 02-12-2020
Stop Publishing (Put date of 2030): 02-12-2065
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