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Seniority (Information technology, software development, data)
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International Potato Center
Non-profit + 1 more
Description
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.
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.
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