ML Software Application Intern

Internship Title: Machine Learning Software Application Intern Department: Technology Report to :  AI Director Location :Bangalore    About Digital Green Digital Green is a non-profit organization dedicated to leveraging technology for the betterment of farmers and agricultural communities. We work at the intersection of technology and social impact, developing innovative solutions that empower farmers with knowledge, tools, and resources to improve their livelihoods and agricultural practices. Our mission is to use cutting-edge technology, including machine learning and artificial intelligence, to create scalable solutions that address real-world challenges in agriculture and rural development. We are dedicated to transforming the lives of under-served smallholder farmers worldwide through innovative technology solutions. Backed by leading philanthropic organizations such as the Bill & Melinda Gates Foundation (BMGF), Walmart Foundation,  and UK Foreign, Commonwealth & Development Office (UKFCDO), we are committed to leveraging data and technology to empower smallholder farmers and strengthen agricultural extension systems.   Description We are seeking a motivated and talented Machine Learning Software Application Intern to join our team and contribute to meaningful projects that directly impact farmers' lives. This internship offers an exceptional opportunity for students from leading institutions to apply their technical skills in machine learning and software development to create solutions that drive positive social change in the agricultural sector.   Key Tasks and Responsibilities Tasks: Hands-on implementation of solutions to problem statements Collaboration on architecture and approach finalization Quick prototypes/proofs of concept to provide empirical evidence of approach Build on top of prototypes to create a well tested complete product   Responsibilities: Regular p rogress check-ins twice a week as per discussed schedule Timely detailed reports on task approaches, results, analysis and conclusions Dedicate at least 30 hours a week qualitatively towards providing well researched solutions and completed products Innovate and research alternative approaches for given tasks   Qualifications and Requirements Required Qualifications: Background: Graduate/Undergraduate candidates in the fields of Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning and other related fields Software Programming: Python (Primary) Machine Learning: At least one of Natural Language Processing, Image Processing, Audio/Video processing Databases: Ability to work with SQL/NoSQL databases like Postgres, MongoDB etc. Preferred Skills: Open source code structure Ability to think about features and use cases of problems Keeping updated with latest technology in AI/ML Ability to write clean code with unit tests and evaluation pipelines Ability to innovate and research alternative approaches for given tasks   Learning Objectives and Outcomes   This internship provides an excellent opportunity to: • Gain hands-on experience in applying machine learning techniques to real-world agricultural challenges • Develop skills in rapid prototyping and product development lifecycle • Learn to work in a collaborative, mission-driven environment focused on social impact • Enhance technical skills in Python, machine learning frameworks, and database management • Build experience in research methodology and alternative approach evaluation • Contribute to meaningful projects that directly benefit farming communities • Develop professional skills through regular reporting and progress presentations   Term This development is expected to run for 4 months, with a possibility of an extension subject to performance and need.    Compensation and Application Process:  Digital Green is a great place to work and prides itself on a competitive and comprehensive  compensation and benefits package. Digital Green is proud to be an equal opportunity  employer. All qualified applicants will receive consideration for employment without regard  to race, color, religion, sex, national origin, disability status, protected veteran status, or any  other characteristic protected by law. Please send your application along with an updated CV and a cover letter explaining your  suitability for the position. All completed applications should be applied  through Join us at Digital Green and leverage your expertise in AI to transform agricultural practices and improve the livelihoods of smallholder farmers worldwide. Powered by JazzHR