Analyst, AI​/ML Engineer

The Analyst assists with the implementation, support and maintenance of EBRD's platforms and software solutions. The Analyst operates within the Squad as an individual contributor to develop/maintain code or infrastructure, as part of the lifecycle management of the Bank systems. Accountabilities & Responsibilities

• Assists in building AI solutions using Azure AI Services, Prompt Flow, and Azure AI Search (Vector Store).
• Writes clean, testable code and assists in peer code reviews.
• Supports the setup of automated testing and observability within CI/CD pipelines.
• Contributes to the validation and tuning of models to ensure performance and data quality, adhering to AI fairness and explainability principles.
• Participates in the refinement of AI/ML user stories and contributes to backlog grooming, estimation, and agile ceremonies.
• Supports the delivery of small to medium AI features in coordination with MLOps and Product teams.
• Contributes to the promotion of engineering best practices and responsible AI standards.
• Supports continuous improvement and innovation within the squad.
• Supports the team by conducting technical spikes for new initiatives, under guidance where required.
• Assists with the deployment of training and inference pipelines to shared development environments such as Azure ML and Prompt Flow. Holds a degree in Computer Science, Data Science, Engineering, Mathematics or a related technical discipline.
• Previous experience working with Python.[RT1.1]
• Demonstrates foundational understanding of machine learning concepts, model lifecycle and data processing principles.
• Basic understanding of Software Development principles, including writing unit and integration tests.
• Demonstrates problem-solving and analytical thinking skills.
• Able to follow guidance and apply structured approaches to technical challenges.
• Familiar with Agile ways of working and collaborative development practices (e.g. Scrum, Kanban).
• Basic understanding of version control systems (e.g. Git) and collaborative tooling (e.g. Git Hub, Jira, Confluence).
• Effective written and verbal communication skills, including the ability to document work clearly.
• Curious, proactive and eager to learn in a hands‑on engineering environment.
• Demonstrates an awareness of responsible AI principles such as fairness, transparency and explainability.
• Able to work in a diverse, multicultural team setting and follow standard delivery processes.
• Familiarity with containerisation using Docker is desirable.
• Hands‑on experience or academic exposure to Python for data science or AI/ML development.
• Basic understanding of RESTful API design principles.
• Familiar with model development workflows, including training, evaluation and basic tuning.
• Exposure to tools such as Azure ML, Prompt Flow, or similar cloud ML platforms.
• Basic understanding of AI/ML application types such as chatbots, recommendation systems, or RAG.
• Supports building and testing ML models, preparing datasets and writing testable code.
• Exposure to vector search, embeddings, or retrieval techniques is desirable.
• Assists with basic ML pipeline configuration under guidance.
• Ability to write clear technical documentation and maintain API specifications using Open API 3.0+
• Basic understanding of System Design and Architecture
• Basic understanding of microservices architecture and distributed system design.
• Familiarity with application authentication protocols (e.g. OAuth 2.0, JWT), and security best practices.

Our agile and innovative approach is what makes life at the EBRD a unique experience! You will be part of a pioneering and diverse international organisation, and use your talents to make a real difference to people's lives and help shape the future of the regions we invest in.

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