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About the Organization

World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 130 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges.

Job Description/Responsibilities

Operations Effectiveness (ITSEF) Unit delivers data and knowledge solutions that provide business insights to frontline teams and management for improved decision making, transparency, and risk mitigation, while facilitating knowledge capture, curation, and dissemination.

The ITS Operations Effectiveness unit is seeking a Data Engineer to join the Knowledge Platforms team. The position requires a quality-focused and detail-oriented candidate with a demonstrated track record of providing solutions for high-priority business goals and strategic management decisions. The candidate will assume the following responsibilities:

Duties and Responsibilities:

• Design and implement cloud-based solutions using Azure and Google Cloud platforms. Automate data pipelines to facilitate efficient data flow and processing.
• Develop and manage data pipelines using technologies like PySpark and Databricks.
• Ensure the scalability and reliability of data processing workflows.
• Work with Large Language Models (LLMs) such as GPT and OpenAI models to enhance applications with natural language processing (NLP) capabilities.
• Design and implement prompt engineering strategies to optimize model performance in business applications.
• Train, fine-tune, and deploy AI models, analyzing their performance based on real-world results.
• Optimize models using feedback mechanisms to improve efficiency
• Utilize strong communication skills to convey complex technical concepts to non-technical stakeholders
• Pursue relevant cloud certifications (e.g., Azure, Google Cloud) to enhance expertise in cloud technologies.

Education Qualification/Required Skills & Experience

• 2+ years of hands-on experience in Python, Pyspark, Databricks, and cloud platforms like Azure and Google Cloud.
• Experience in designing and implementing cloud-based solutions and automating data pipelines.
• Experience in Working with Large Language Models (LLMs) such as GPT, OpenAI models, or enhance solutions with natural language processing (NLP) capabilities.
• Design and implement prompt engineering strategies to improve model performance and efficiency in business applications.
• Train, fine-tune, and deploy AI models, analyzing their performance and optimizing them based on feedback and real-world results.
• Experience in designing and implementing cloud-based solutions and automating data pipelines.
• Proven ability in metadata management and schema mapping.
• 2+ years of experience working directly with clients, understanding their requirements, and delivering tailored solutions.
• Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Ability to work independently and in collaboration with cross-functional teams.
• Track record of successfully managing multiple tasks and projects in a fast-paced environment.
• Experience in end-to-end project delivery and managing deliverables.
• Cloud certifications (Azure, Google Cloud, or similar) are a plus.

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