Climate Forecaster (Machine Learning Expert) at Climate Prediction and Applications Centre

Climate Forecaster (Machine Learning Expert)

Minimum Qualifications and Experience
Educational qualification 

• University degree in Computer Science, Data science, Geo-Informatics, Computer Engineering, IT or other relevant field, 
• Minimum of two (4) years of relevant experience in geo-data applications design and development.
• Candidates should demonstrate their qualifications and proficiency in data management, web application development and geo-application development (provide links to at least 2 samples of previous work and/or Github code)
• Experience working with climate forecast and early warning systems is desirable

Technical qualifications:    

• Solid and demonstrated experience working with scripting languages (e.g. Python) to automate geo-processing data workflows preferably on climate forecasting
• Demonstrate experience in development and use of data management systems in various applications
• Experience in backend development using various languages and frameworks including Django, Go and NodeJS
• Demonstrated experience with application containerization (Docker) and deployment on cloud infrastructure
• Experience working on a variety of software development projects and developing responsive front-end web solutions
• Proven experience (deployed projects, Github code) with designing and developing production ready scalable geospatial web applications with open-source industry standard technologies such as Node.js, React, Mapbox GL, Leaflet, Carto, python, Geoserver, Mapserver, GDAL, 
• Sound knowledge of SQL and PostGIS spatial database;
• Experience developing REST API and a good understanding of microservices architecture 
• Advanced knowledge of OGC geospatial standards like WMS, WFS, WCS, WPS, Simple Features for SQL
• Experience working with Go Language and NoSQL databases is an added advantage
• Experience manipulating and analyzing Earth Observation data in different data formats is desirable