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Job Summary

The Data and Economics division in the Information Technology Department (ITD) has a contractual vacancy for an AI Solution Engineer to work in the Econometric Modeling, Big Data, AI & ML Platforms Family. The successful candidate will be responsible for providing Fund‐wide services on AI, machine learning and big data analytics to understand and solve complex problems related to Fund’s business capabilities of surveillance, lending, and capacity development.

The selected candidate will develop innovative solutions for emerging business needs through creation, implementation and deployment of data driven models, methods, and algorithms by using machine learning tools and techniques. The engineer will also contribute to the development of applications, tutorials, presentations, and training materials on the use of large‐scale structured and unstructured data.

Major Duties and Responsibilities

1.Collaborates with economists, financial sector specialists and data scientists to deliver AI models and solutions.

2.Designs and implements of efficient, adaptable, scalable, and reliable pipelines and algorithms to process unstructured and structured data.

3.Develops and deploys AI/ML solutions that utilize natural language processing techniques.

4.Develops and maintains custom data pipelines and workflows for large-scale text analytics projects.

5.Implements new statistical or other mathematical methodologies as needed for specific models or analysis.

6.Researches and analyzes complex data sets, combines different sources and types of data to develop machine learning based models making value out of data.

7.Uses AI/ML to empower business with novel capabilities such as automating processes by utilizing machine learning.

8.Prototypes solutions and conducts experiments highlighting results and lessons learned.

9.Provide technical expertise and guidance to users on AI/ML and machine learning best practices.

10.Helps the users evaluate the AI solution from a technical perspective.

11.Leverages industry knowledge and stays close to latest technology trends

12.Contributes to the development of sample applications, tutorials, presentations and training material for big data and machine learning technologies.

13.Other responsibilities required to deliver AI/ML solutions.

Minimum Qualifications

An advanced university degree in computer science, engineering, mathematics or related field of study or equivalent, plus a minimum of four years of relevant professional experience; or a bachelor’s degree in computer science or a related field of study plus a minimum of 10 years of relevant professional experience is required.

In addition, the ideal candidate will possess:

• A strong background in data modeling, preferably using economic, econometric, or financial data.

• A strong background in scientific computing, complemented by understanding of computer architecture, as well as distributed and parallel computing.

• Demonstrated work experience with extract, transform, and load (ETL) for large‐scale, complex data sets. Experience with data analytics and database design.

• Demonstrated knowledge of machine learning techniques such as decision trees, logistic regression, supervised and unsupervised learning, etc. 

• Demonstrated knowledge of system engineering, object-oriented design, information risk and security guidelines. Knowledge with version control systems as software configuration management and source code lifecycle management tools.

• Experience in data architecture and application architecture, target state design and strategy. Experience with system integration.

• Experience in developing and deploying AI solutions, with a focus on text analytics and natural language processing.

• Understanding of cloud technologies and services. Experience with unstructured data and NoSQL Databases, such as MongoDB.

• Ability to use different scripting languages, understanding the nuances and benefits of each. Ability to research and discover new methods to acquire data, and new applications for existing data.

• Ability to apply knowledge, skills, tools, or techniques to complex programs and project activities to meet the specific business and technical program (including security) or project requirements.

• Ability to research, design, develop, implement and manage applications based on specific business needs.

• Proficiency in programming languages, including SQL, R, Python, C/C++, Ruby, Perl, Java, and MatLab.

This is a one-year contractual appointment. Contractual appointments at the IMF are renewable for up to four years of cumulative contractual service, pending incumbent's performance, budget availability, and continuous business need.

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The IMF is committed to achieving a diverse staff, including age, creed, culture, disability, educational background, ethnicity, gender, gender expression, nationality, race, religion and beliefs, and sexual orientation.