Entrepreneurship in the territories: is it the right time?

Providing data science capabilities to help NGOs and international cooperation agencies build their programmes and measure their impact
Transition partners
The mission of this structure is to help companies and citizens improve their environmental and social impact. For example, CSR consulting, training, raising awareness of transition issues, media, etc.
Masae Analytics is a fast-growing start-up providing data analytics consulting services, using geospatial analysis, remote sensing, satellite imagery, machine learning, and data science to address our clients’ needs.
We apply those skills to topics as diverse as climate change and agriculture, humanitarian projects, development programme impact evaluation, post-conflict damage assessments, rural connectivity, financial inclusion, etc.
Together with our sister company, Altai Consulting (www.altaiconsulting.com), Masae Analytics works for international organizations, foundations and development actors (the United Nations, the World Bank, the Bill & Melinda Gates Foundation, etc.), and corporate ones in emerging and in post-conflict countries.
We arecurrently looking for an Machine Learning Engineer, with a strong background in the deployment of Large Language Models (LLM) and multi-modal models, for a wide range of applications.
The ideal candidate should be able to conceive, design, and implement LLM-based solutions for new applications in an autonomous way, and should be interested in applying these technologies to projects in a variety cultural environments.
Key aspects of the Machine Learning, Large Language Model (LLM) Engineer – mission will be to:
Requirements
General requirements:
- University degree in applied mathematics / physics / machine learning or related discipline
- 2 to 5 years of professional experience in data science
- Curiosity, flexibility, attention to details and strong work ethics
- Sensitivity to data security and confidentiality
- Experience in international development and in humanitarian issues is a plus
- Very good English skills
- Strong belief in the value of team work
Technical requirements:
- Knowledge of Python, Data Science environments (IPython/Jupyter Notebook, Pandas, etc.)
- Experience with machine learning frameworks, libraries (PyTorch, TensorFlow, CUDA, etc) and cloud architectures
Nice to have:
- Knowledge of SQL and of its open-source implementations (Postgres, MySQL, SQLite)
- Team management experience
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