ML Software Application Intern

As a Machine Learning Software Application Intern at Digital Green, you will have the opportunity to contribute to projects that have a direct impact on the lives of farmers. Digital Green is a non-profit organization focused on leveraging technology to empower farmers and agricultural communities. Backed by leading philanthropic organizations, we are committed to using cutting-edge technology, including machine learning and artificial intelligence, to address real-world challenges in agriculture and rural development. **Key Responsibilities:** - Hands-on implementation of solutions to problem statements - Collaboration on architecture and approach finalization - Creating quick prototypes/proofs of concept - Building well-tested complete products based on prototypes - Regular progress check-ins twice a week - Timely detailed reports on task approaches, results, analysis, and conclusions - Dedicate at least 30 hours a week towards providing well-researched solutions - Innovate and research alternative approaches for given tasks **Qualifications and Requirements:** - Background in Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or related fields - Proficiency in Python, with a focus on at least one of Natural Language Processing, Image Processing, or Audio/Video processing - Ability to work with SQL/NoSQL databases like Postgres, MongoDB, etc. - Preferred skills include open-source code structure, feature thinking, staying updated with the latest AI/ML technology, writing clean code with unit tests, and the ability to innovate and research alternative approaches **Learning Objectives and Outcomes:** - Gain hands-on experience in applying machine learning techniques to real-world agricultural challenges - Develop skills in rapid prototyping and product development lifecycle - Enhance technical skills in Python, machine learning frameworks, and database management - Contribute to projects that benefit farming communities directly - Develop professional skills through regular reporting and progress presentations The internship term is expected to run for 4 months, with a possibility of extension based on performance and need. Join Digital Green to leverage your expertise in AI and contribute to transforming agricultural practices for smallholder farmers globally.,