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Artificial Intelligence and Machine Learning Junior Expert

Lebanon

Opportunity Deadline

06/01/2024

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Job Description

Fresh
  • Country: Beirut, Lebanon
  • No of vacancies: N/A
  • Salary: N/A 
  • Organization: UNV
  • Gender: Both 
  • Deadline: 2024-01-06

Details
Mission and objectives
The Economic Commission for Western Asia (ECWA) was established on 9 August 1973 pursuant to Economic and Social Council’s resolution 1818 (LV). Its purpose was to stimulate economic activity in member countries, strengthen cooperation between them promote development.

ESCWA’s objectives are to support economic and social development in member countries, to promote interaction and cooperation between member countries, to encourage the exchange of experience, best practice and lessons learned, to achieve regional integration and ensure interaction between Western Asia and other regions, and to raise global awareness of the circumstances and needs of member countries.

ESCWA provides a framework for the formulation and harmonization of sectoral policies for member countries, a platform for congress and coordination, a home for expertise and knowledge, and an information observatory.

ESCWA activities are coordinated with the divisions and main offices of the Headquarters of the United Nations, specialized agencies, and international and regional organizations, including the League of Arab States and its subsidiary bodies, and the Gulf Cooperation Council.

Context
The candidate will contribution to the implementation of a tool that will feature the following functionalities:

1. Scraping static online data
2. Disaggregate the jobs of the future into sectors, subsectors, regions, years of experience, salary, occupation, primary skills, secondary skills over time. This can be presented as a dynamic feature for end users.
3. Dynamic Disaggregate traditional jobs in the same manner as point 1.
4. Monitor the change of traditional skills and see how skills are changing for the same job due to automation/ technology. In other words, check the evolution of the skill sets of a given job.
5. Forecast the growth of certain skills, jobs, sectors, career paths and regions overtime. Under the trend analysis tab, a forecast option could be included.
6. Provide evidence of the skills mismatch between demanded jobs and school attainments.
7. Comparative analysis between nations/subnational regional/sub regional, etc.
8. Possibility of adding new data sources.
9. Operate seamlessly with continuously updated live data.
10. Provide reports and export data according to job classification categories.

Task description
Under the supervision of the Information Systems Assistant, the UN Volunteer is responsible to perform the following functions:

1- Conduct various annotation workshops/trainings to prepare datasets for ESCWA’s job monitor. This is very crucial as the quality of the annotated data determines the quality of the NER. This is a long process that needs time and close follow up.
2- Assist in data analysis (regular expression searches, data aggregations and reporting of KPIs) as well as structuring of raw data for their use as inputs to our ML models.
3- Conduct data analysis specific to the jobs in the Arab region, skills, gender, disabilities, SDGs.
4- Build an Arab taxonomy for skills.
5- Assist in other automation projects if needed.

Eligibility criteria
Age
18 – 26

Nationality
Candidate must be a national or legal resident of the country of assignment.

Requirements
Required experience
2 years of experience in Machine Learning, Data Science, Data Engineering, or related area is required.

Area(s) of expertise
Administration, Information technology

Driving license

Languages
English, Level: Fluent, Required
Arabic, Level: Fluent, Desirable

Required education level
Bachelor degree or equivalent in mathematics, computer science, computer engineering or related field.

Competencies and values
• Creativity
• Judgement and decision-making
• Planning and organizing
• Professionalism
• Self-management

 

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