About Degas:
Degas is an AI tech company focused on increasing the income of smallholder farmers in Sub-Saharan Africa through data aggregation, AI credit scoring, satellite observations, and smallholder farmer financing. We believe that Africa's development is tied to the development of its farmers. Degas provides farmers with a full range of tools to enable productive and lucrative farming while showcasing their potential with technology.
Our Previous works
- Geospatial Foundation Model: https://arxiv.org/abs/2405.025... Agriculture Dataset: https://www.climatechange.ai/papers/iclr2024/24
Role Description:
This is a full-time remote role for a Machine Learning Engineer. The Machine Learning Engineer will be responsible for designing, developing, and implementing a large scale machine learning training/inference platform and MLOps system. The Machine Learning Engineer will also be responsible for monitoring and evaluating the effectiveness of these systems to accelerate our model developments.
Qualifications:
- Proficiency in Algorithms
- Experience with Python and its libraries for machine learning (PyTorch, scikit-learn, Keras) (more than 5 years)
- Experience with distributed training frameworks, such as Pytorch DDP, Megatoron or DeepSpeed (more than 3 years)
- Strong knowledge of Pattern Recognition and Neural Networks
- Strong knowledge of Cloud services (AWS, GCP, Azure etc) (more than 3 years)
- Strong problem-solving skills
- Good communication skills and ability to work in a team environment
- Ability to work independently and remotely
- Bachelor's or Master's degree in Computer Science, Mathematics, or related field