AI & Machine Learning Specialist, Data-Activated Architecture for Resilient Transition (D…
AI summary
Palladium is hiring an AI & Machine Learning Specialist for its DART project based in Kampala, Uganda. The role supports the Ministry of Health and digital health teams to develop a national AI implementation framework and deliver priority AI use cases on government-supported platforms, including DHIS2 anomaly detection and AI-enabled acoustic screening. The position closes on 26 Sep and requires a master's degree plus at least five years of relevant experience.
- Kampala-based role supporting Uganda's Ministry of Health on national AI priorities
- Focus on practical AI use cases such as DHIS2 anomaly detection and acoustic screening
- Requires a master's degree and at least five years of ML/AI experience
- Application deadline is 26 Sep
- Only shortlisted candidates will be contacted
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- Required5+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
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- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
Documents to prepare
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Original source description
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AI & Machine Learning Specialist, Data-Activated Architecture for Resilient Transition (DART) Jobs – Palladium
Palladium
Posted
9 hours ago
Closes 26 Sep
☆
Job Title:
AI & Machine Learning Specialist, Data-Activated Architecture for Resilient Transition (DART)
Organisation:
Palladium
Duty Station:
Kampala, Uganda
About Organisation:
Palladium is a global leader in the design, development and delivery of Positive Impact – the intentional creation of enduring social and economic value. We work with foundations, investors, governments, corporations, communities and civil society to formulate strategies and implement solutions that generate lasting social, environmental and financial benefits.
Job
Summary
The AI & Machine Learning Specialist supports MOH/DHI to develop and validate a practical national AI implementation framework and implement two approved priority AI use cases on existing government-supported platforms. The position ensures AI activities are responsible, useful, technically sound, monitored, and aligned with MOH governance, data protection, and national digital health priorities.
Key Duties and
Responsibilities
- Support development of an MOH-owned AI implementation framework, including use-case intake, risk classification, data-governance requirements, validation criteria, approval pathways, monitoring requirements, and escalation procedures
- Design, develop, validate, and document approved AI use cases, including DHIS2 data-entry anomaly detection and AI-enabled acoustic screening for respiratory disease or other MOH-approved priorities
- Work with data engineering, interoperability, cybersecurity, clinical, and program teams to ensure AI use cases use approved data sources, secure environments, and documented data pipelines
- Develop model-development, testing, evaluation, bias assessment, performance-monitoring, versioning, and retraining procedures
- Ensure human oversight, auditability, privacy protection, and appropriate use of de-identified or authorized data
- Support user testing, workflow integration, training, post-deployment monitoring, and decision thresholds for AI-enabled tools
- Document technical methods, model limitations, validation evidence, user guidance, and governance decisions for MOH review
- Build capacity of MOH and Ugandan technical teams in responsible AI concepts, implementation practices, and ongoing model monitoring
- Qualifications, Skills and
Experience
- Master’s degree in data science, computer science, artificial intelligence, statistics, biomedical engineering, health informatics, or related field
- At least 5 years of
- in machine learning, data science, predictive analytics, or AI product development
- Demonstrated skills in Python, machine learning frameworks, model evaluation, data engineering, and data visualization
- applying AI or analytics in health, public health, or low-resource settings is strongly
- in Months: 60
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Preferred Qualifications
- Knowledge of responsible AI, privacy, bias assessment, human-centered design, and model monitoring
- Strong technical documentation, stakeholder engagement, and English communication skills
- How to Apply:
- All suitably qualified and Interested applicants should apply online at the link below.
- Opens the employer’s application page
- Apply Now →
- NB: Only shortlisted candidates will be contacted.
- For more of the latest jobs, please visit
- https://www.theugandanjobline.com
- or find us on our facebook page
- https://www.facebook.com/UgandanJobline
- Level of
Education
- postgraduate degree
- Work Hours: 8