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Geospatial and Machine Learning Engineer at Strathmore University

Expired
Job Overview
Employment FullTime
Location Nairobi Kenya
Experience At least 5 years
Education Level Bachelor's Degree
View More in Jobs > Information Technology (ICT)
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Opportunities Meet Aspirations

Geospatial and Machine Learning Engineer at Strathmore University

Basic job summary

The GIS and Machine Learning Engineer will play a pivotal role in advancing projects that combine Geographic Information Systems (GIS) and Machine Learning (ML) to support innovation in energy access, renewable energy systems, and grid management.

Duties & Responsibilities:

GIS Integration:

  • Integrate geospatial systems with existing applications to provide real-time mapping and location-based data.Collaborate with teams to ensure data is usable and optimized.
Geospatial Analysis:
  • Conduct analysis to derive location-based insights for various projects.Develop and execute data collection strategies.Create and present maps, dashboards, and visualizations for different audiences.
Machine Learning (ML) for Data Retrieval:
  • Design and build machine learning models to automate the extraction of data from unstructured sources.Construct and maintain structured datasets for analysis.Interpret extracted data to find key specifications and insights
Machine Learning (ML) for Pattern Detection:
  • Develop and deploy machine learning tools to automate the detection of specific patterns, such as identifying anomalies or fraudulent activities.
GIS Integration:
  • Integrate geospatial systems with existing applications to provide real-time mapping and location-based data.Collaborate with teams to ensure data is usable and optimized.
Geospatial Analysis:
  • Conduct analysis to derive location-based insights for various projects.Develop and execute data collection strategies.Create and present maps, dashboards, and visualizations for different audiences.
Machine Learning (ML) for Data Retrieval:
  • Design and build machine learning models to automate the extraction of data from unstructured sources.Construct and maintain structured datasets for analysis.Interpret extracted data to find key specifications and insights.
Machine Learning (ML) for Pattern Detection:
  • Develop and deploy machine learning tools to automate the detection of specific patterns, such as identifying anomalies or fraudulent activities.Work with stakeholders to align models with project goals.
General Duties:
  • Maintain detailed project records, including the use of Gantt charts, to track progress and ensure transparency and accountability.Communicate progress metrics and findings through detailed reports, visualizations, and presentations to project managers and stakeholders.Stay informed about current best practices and emerging technologies in GIS, data collection, and machine learning to improve efficiency and innovation.Work with stakeholders to align models with project goals
Minimum Academic Qualifications:
  • Bachelor’s degree in Engineering, Geoinformatics, Computer Science, Statistics, or a related field.
Experience:
  • 5+ years of proven experience in GIS analysis and machine learning.Strong understanding of GIS principles and ML model development.Experience with GIS software (e.g., ArcGIS, QGIS) and ML frameworks (e.g., TensorFlow, PyTorch).Proficiency in programming languages like Python and R, and databases like SQL.Experience in the energy sector, particularly on electricity-related projects, and familiarity with renewable energy technologies and trends are an advantage.
Competencies and Attributes
  • Project Management Skills: Proficiency in project planning, scheduling, risk management, and monitoring and evaluation (M&E).Communication Skills: Strong writing skills for developing reports and the ability to communicate complex information clearly to diverse audiences.Stakeholder Management: Ability to effectively engage and maintain relationships with diverse stakeholders, including technical and non-technical teams.Analytical Skills: Strong analytical, problem-solving, and critical thinking skills to interpret complex data from GIS and ML outputs and produce insightful reports.Research Skills: Experience in designing and conducting research, including both quantitative and qualitative methodologies.Familiarity with renewable energy technologies and trends.

How to Apply

Are you qualified for this position and interested in working with us? We would like to hear from you. Kindly send us a copy of your updated resume and letter of application (ONLY) quoting “Geospatial and Machine Learning Engineer” on the subject line to recruitment@strathmore.edu by 12th December 2025.

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