Job title: Data Scientist Interns (Machine Learning and Geospatial)
Responsibilities:
- Process ground truth and satellite-derived data for model training and validation.
- Contribute to training and development of geospatial machine learning models and analytics workflows.
- Evaluate machine learning and statistical models for desired performance metrics.
- Assess quality and reliability of large-scale geospatial data products (LULC maps, weather, soil maps, etc.).
- Collaborate with cross-functional teams to integrate models and analytic workflows into production.
- Document and present technical findings to stakeholders.
- Provide expert insights for reports, case studies, and customer-oriented documents.
- Assist resolving customer-specific challenges related to geospatial data science.
Requirements:
- Bachelor's Degree in STEM, Data Science, Computer Science, Geospatial Science, Statistics, Environmental Studies, IT, or related field (or graduating within a year).
- Experience developing geospatial and machine learning models using satellite imagery.
- Experience analyzing and interpreting large-scale geospatial data.
- Knowledge of data visualization, advanced analytics methods, tools, programming languages, and Data Science.
- Familiarity with Python, open-source geospatial libraries (GDAL/OGR, xarray, Geopandas, Shapely), and GIS tools (QGIS or ArcGIS).
- Knowledge/experience of ML frameworks (Pytorch, TensorFlow, NLP, Generative AI, LLMs, RAG, Prompt Engineering) highly desired.
- Familiarity with cloud computing platforms (AWS, GCP) and Linux/Unix environments.
- Ability to work independently and collaboratively within a globally distributed team.
- Critical thinking, passion for cutting-edge data science algorithms.
- Excellent collaboration and communication skills.
- Proactive and autonomous work ethic.
Location: Nairobi (Hybrid)
How to apply: Apply via the following link: https://amini.bamboohr.com/careers/40
Include:
- Cover Letter
- Resume
- Paragraph highlighting key knowledge, skills, and experience for the internship
- Motivation to work for Amini
- Salary expectations in USD
- Availability to start
Contact details: Apply online at the provided link.
