In A Nutshell
As a consultant, provide specialized technical support to strengthen and integrate the existing prototype of the real-time predictive model for assessing the situation of children in emergencies in the Caribbean Basin.
Responsibilities
- Review the current prototype and related assets.
- Identify technical gaps and integration needs.
- Lead the consolidation of reusable components into modular, interoperable, and sustainable architecture.
- Translate agreed technical requirements into an operational solution that remains useful beyond the contract period and is aligned, to the extent possible, with the institutional architecture to be defined.
- Prepare and present progress updates, participate in periodic follow-up meetings, incorporate technical feedback, document changes, and adjust implementation plans as needed to meet agreed milestones.
Skillset
- Master’s degree from a recognized university in systems/software engineering, computer science, data engineering, artificial intelligence, geospatial analytics, data science, or another relevant technical field.
- Minimum experience required: three years with a master’s degree in data engineering, computer/data science, artificial intelligence, and/or analytical solution development.
- Experience as a data engineer, including ETL/data pipelines, cloud data infrastructure, near real-time processing, and data exposure through APIs or structured outputs.
- Experience as a full-stack or geospatial software engineer, including connecting pipelines to usable products such as web maps, dashboards, APIs, automated reports, alerts, and user-oriented outputs.
- Experience developing workflows that translate hazard, exposure, vulnerability, and contextual data into decision-support outputs for preparedness, anticipatory action, emergency response, and post-event analysis.
- Experience developing interactive graphs, visualizations, and geospatial decision-support products for both technical and non-technical teams.
- Experience developing LLM or applied AI workflows.
- Applied research and prototyping experience.
- Experience working with humanitarian, climate risk, disaster risk, child-focused, or public-sector data use cases.
- English and Spanish fluency is a must.
