Junior Machine Learning Engineer

Job Posting Organization:
The job posting organization is the United Nations Economic and Social Commission for Western Asia (ESCWA), which was established in 197

• ESCWA aims to promote economic and social development in the Arab region through regional cooperation and integration. The organization operates in multiple countries across the Arab region, focusing on sustainable development, social justice, and economic growth. ESCWA employs a diverse workforce dedicated to addressing the challenges faced by member states and enhancing their capacities through research, policy analysis, and technical assistance.

Job Overview:
The Junior Machine Learning Engineer position is designed to support the Arab Development Portal (ADP) by implementing advanced machine learning models that analyze key development trends in the Arab region. The role emphasizes the importance of data-driven insights related to social, economic, and technological transformations. The incumbent will be responsible for developing data ingestion and transformation pipelines, as well as AI and ML models that will inform technical decisions and data architecture. Additionally, the engineer will implement solutions based on large language models (LLMs) to foster innovation in the AI domain, aligning with the mission of the Decision-Support and Data Science Division (DSDSD). This position is crucial for enhancing the capabilities of the ADP and ensuring it serves as a comprehensive resource for socioeconomic development data.

Duties and Responsibilities:
The Junior Machine Learning Engineer will undertake a variety of tasks, including:

• AI Augmentation and Algorithm Development: - Implementing ETL (Extract, Transform, Load) pipelines to facilitate data processing. - Utilizing the ADP’s infrastructure to develop and implement advanced AI models for data extraction, classification, and matching algorithms, ensuring compatibility with established taxonomies relevant to socioeconomic development. - Exploring alternative large language models (LLMs) to enhance data analysis and classification, particularly in economic growth, social development, and sustainability. - Implementing APIs to facilitate communication between different tools developed. - Collaborating with senior ML engineers to adapt deep research architecture to meet UNESCWA needs.
• Collaboration and Reporting: - Working closely with data scientists and other entities to ensure effective data sharing and analysis. - Preparing reports and presentations to communicate findings and methodologies effectively.

Required Qualifications:
Candidates must possess a Bachelor's degree in economics, computer science, data science, statistics, or a related field. All applicants are required to submit a copy of their educational degree, as incomplete applications will not be considered. Knowledge of programming languages such as Python or R is essential, along with familiarity with various machine learning models and techniques. While previous work experience is not required, knowledge of artificial intelligence concepts and large language models is desirable.

Educational Background:
The educational background required for this position includes a Bachelor's degree in a relevant field such as economics, computer science, data science, or statistics. This foundational education is critical for understanding the complexities of machine learning and data science, which are central to the role.

Experience:
This position does not require any previous work experience, making it suitable for recent graduates or individuals looking to enter the field of machine learning and data science. However, candidates should demonstrate a strong understanding of machine learning concepts and programming skills, particularly in Python or R.

Languages:
Fluency in English is mandatory for this position, as it is one of the working languages of the United Nations Secretariat. Fluency in Arabic is desirable, given that it is a working language of ESCWA. Fluency is defined as a rating of 'fluent' in all four areas: speaking, reading, writing, and understanding. Knowledge of Arabic, while not mandatory, is beneficial for effective communication within the organization.

Additional Notes:
Recruitment for this position is conducted on a local basis, meaning that candidates must have the legal right to live and work in Lebanon. The position is for a duration of six months, and it is important to note that the United Nations does not charge any fees at any stage of the recruitment process, including application, interview, or training. The organization is committed to ensuring a transparent and fair recruitment process.