Data & AI Analyst at International Potato Center

Key responsibilities: 

• Design and build automated dashboards, interactive maps, and advanced data visualisations for CIP digital platforms, including Varscout and other applications. 
• Develop APIs, MCP servers, and custom integrations to connect CIP knowledge assets with AI-powered tools such as Digital Green’s Farmer.Chat and other conversational AI assistants. 
• Lead the end-to-end development of the CIP Clearinghouse platform for organizing, discovering, and sharing research outputs with AI-enabled search and visualisation capabilities. 
• Design and implement digital, AI-based certification systems (e.g., Potato Zero and Mulching initiatives), including data collection workflows and compliance verification systems. 
• Develop and manage databases, ensure proper data architecture, and support data integration across platforms. 
• Collaborate with researchers, project teams, and external partners to translate requirements into scalable technical solutions. 
• Ensure secure, efficient, and scalable digital infrastructure aligned with CIP’s digital policies and standards. 
• Contribute to machine learning model development and deployment where applicable. 
• Provide technical documentation, user guidance, and knowledge transfer to internal teams. 
• Stay up to date with emerging AI, data engineering, and digital transformation trends relevant to agricultural research. 

Requirements

What are we looking for? 

• Bachelor’s degree in computer science, Systems Engineering, or a related field. 
• At least three (3) years of practical experience in full-stack software development. 
• Strong experience in API development, database integration, and data engineering. 
• Proven experience building dashboards and data visualization tools. 
• Experience working with cloud infrastructure and scalable digital systems. 
• Knowledge or experience in machine learning and AI engineering is an added advantage. 
• Strong analytical and problem-solving skills. 
• Professional proficiency in English (written and oral). 
• Ability to work independently and collaboratively in multidisciplinary and multicultural environments.