Junior Artificial Intelligence/Machine Learning Engineer

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Position Title: Junior Artificial Intelligence/Machine Learning Engineer
Location: Beirut
Country: Lebanon
Deadline Date: Not specified

Job Details

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 various sectors including data science, technology, and sustainable development. ESCWA employs a diverse workforce dedicated to enhancing the quality of life in the region and addressing pressing challenges through innovative solutions and collaborative efforts.

Job Overview:
The Junior AI Engineer position is designed for individuals who are eager to contribute to the development of cutting-edge AI and machine learning solutions within the Data Science and Decision Support Division (DSDSD) at ESCWA. The successful candidate will play a crucial role in delivering high-quality work packages that support flagship products like the Arab Data Portal and other critical projects. This role is particularly suited for recent graduates who are passionate about AI/ML and are looking to work in a dynamic international environment. The position involves interpreting complex datasets, performing advanced data pre-processing, and implementing modern machine learning and large language model algorithms. The Junior AI Engineer will be expected to collaborate with senior data engineers and scientists, ensuring that ML/LLM solutions are effectively integrated into broader projects, thereby enhancing the overall data science capabilities of the organization.

Duties and Responsibilities:
The Junior AI Engineer will report to the Chief of the Data Science and Decision Support Division and will work under the direct supervision of the Head of the Decision Engineering and Analytical Insights unit. The key responsibilities include:

• Developing and deploying machine learning and large language model algorithms, ensuring they are optimized for performance and scalability.
• Supporting data preparation efforts, including data collection, cleaning, and pre-processing to ensure high-quality inputs for analytical models.
• Analyzing complex datasets to identify patterns, particularly those related to job skills market trends.
• Collaborating with senior data engineers and data scientists to integrate ML/LLM solutions into broader projects.
• Continuously refining existing models and algorithms to enhance their performance.
• Providing technical support in all aspects of ML/LLM development and deployment.
• Adhering to professional software engineering standards, including coding best practices, version control, rigorous testing, and code reviews.
• Communicating technical concepts clearly and concisely in both written and verbal formats.
• Performing additional related tasks as needed to achieve project goals.

Required Qualifications:
Candidates must possess a Bachelor’s degree in Computer Science, Information Management, Statistics, or a related field. A minimum of 2 years of professional work experience in an AI/ML engineering role or a closely related position is required. Candidates should have a strong understanding of machine learning and AI algorithms, techniques, and state-of-the-art methodologies. Proficiency in database design, data normalization, and advanced data analysis using SQL, Python, and R is essential. Additionally, a minimum of 1 year of hands-on experience with self-service analytics and data visualization tools is required. Practical experience with cloud-based data technologies such as AWS or Azure is also necessary, while familiarity with cloud ETL tools is desirable. A demonstrable interest or experience in developing and deploying large language models (LLMs) is highly desirable.

Educational Background:
The educational background required for this position includes a Bachelor’s degree in Computer Science, Information Management, Statistics, or a related area. Candidates must submit a copy of their educational degree as part of the application process, and incomplete applications will not be reviewed.

Experience:
The position requires a minimum of 2 years of professional work experience in an AI/ML engineering role or a closely related position. Candidates should have a strong understanding of machine learning and AI algorithms, techniques, and methodologies, along with practical experience in relevant technologies and tools.

Languages:
Fluency in English is required for this position, as it is one of the working languages of the United Nations Secretariat. Knowledge of Arabic is desirable, as it is a working language of ESCWA. Fluency is defined as a rating of 'fluent' in all four areas: speaking, reading, writing, and understanding, while knowledge is defined as a rating of 'confident' in two of the four areas.

Additional Notes:
The position is expected to last for 12 months. It is important to note that the United Nations does not charge a fee at any stage of the recruitment process, including application, interview, or training. The organization also does not concern itself with information regarding applicants' bank accounts.