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Under the general guidance and supervision of the ICT Specialist- Technology Innovation, the incumbent responsibilities include the following:
Implementation of the supporting systems of DISHA’s analytics services
Support on the implementation of DISHA’s data access and processing platform
Quality Assurance of DISHA’s analytics services.
Implement a mechanism of ML experiment tracker (hyperparameters and data versions) and model deployment.
Implement a mechanism of analytics and predictive serving through embedded business intelligence.
Support DISHA’s data scientists in model exploration and experimentation.
Support DISHA’s data engineers in building data pipelines that go from-and-to our analytics services, as well as the raw data that fuels the ML training.
2. Support on the implementation of DISHA’s data access and processing platform
Support the platform engineers in implementing the external data access connection and ensure that it seamlessly flows into the data pipeline and into the analytics services
Support the platform engineers in informing the scalability requirements of the end-to-end data processing platform.
3. Quality Assurance of DISHA’s analytics services.
Implement a model monitoring system to detect data drift and model performance degradation.
Support DISHA’s platform lead to implement health check for our analytics services, such as VMs that run the BI tools and model serving.
Support DISHA’s data scientists in maintaining up a clean, non-leaking, and growing data splits for ML model development.
Impact of Results:
The effective and successful achievement of Disha objectives could accelerate the ability of social and humanitarian actors to utilize the benefits of AI and big data at a faster pace in these unprecedented times of fragility and uncertainty of climate-fuelled natural disasters and intense conflicts.
First-level university degree (Bachelor’s or equivalent) in computer science or a related field is required.
An advanced University Degree (Master’s or equivalent) or higher degree in computer science or a related field is an advantage.
Experience:
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