About the Job
Title: Machine Learning Software Application Intern
Department: Technology
Reports to: AI Director
Location: Bangalore
About Digital Green
Digital Green is a non-profit organization that leverages technology to improve the lives of farmers and agricultural communities. Operating at the intersection of technology and social impact, we design innovative, scalable solutions that empower smallholder farmers with data, tools, and knowledge to enhance productivity and income.
Supported by leading philanthropic partners such as the Bill & Melinda Gates Foundation, Walmart Foundation, and UKFCDO, our mission is to harness AI and machine learning to drive positive change in agriculture and rural livelihoods.
Role Overview
We are seeking a passionate Machine Learning Software Application Intern to join our Technology team. This internship offers an excellent opportunity for students to apply their technical expertise to real-world agricultural challenges and contribute to projects that make a tangible social impact.
Key Responsibilities
Core Tasks:
- Implement machine learning solutions to solve defined problem statements.
- Collaborate on designing architectures and defining technical approaches.
- Build quick prototypes or proofs of concept to validate ideas.
- Develop robust, tested products from validated prototypes.
Responsibilities:
- Participate in regular progress check-ins (twice weekly).
- Submit detailed reports outlining approach, results, and conclusions.
- Dedicate a minimum of 30 hours per week to high-quality research and development work.
- Continuously explore innovative and alternative methods for assigned tasks.
Qualifications
Required:
- Graduate/Undergraduate in Computer Science, Mathematics, Statistics, Artificial Intelligence, Machine Learning, or related fields.
- Strong programming skills in Python.
- Experience in at least one area: Natural Language Processing, Image Processing, or Audio/Video Processing.
- Working knowledge of SQL/NoSQL databases (e.g., PostgreSQL, MongoDB).
Preferred:
- Experience with open-source projects or contributions.
- Ability to conceptualize and build features from problem statements.
- Familiarity with the latest AI/ML technologies.
- Writing clean, modular code with unit tests and evaluation pipelines.
- Strong research and problem-solving mindset.
Learning Outcomes
During this internship, you will:
- Apply machine learning models to address real-world agricultural problems.
- Gain hands-on experience in prototyping and full product development.
- Work in a mission-driven, collaborative environment focused on social good.
- Strengthen technical expertise in Python, ML frameworks, and databases.
- Learn research methodologies and comparative approach evaluation.
- Develop professional communication and presentation skills.
Term
- Duration: 4 months (extendable based on performance and project needs).
Compensation and Application Process
Digital Green offers a competitive and comprehensive internship package.
We are proud to be an equal opportunity employer, committed to diversity and inclusion.
📩 Apply here: https://digitalgreen.applytojob.com/apply/CdtTv5cIOc/ML-Software-Application-Intern
Or email your resume and cover letter to vidya@digitalgreen.org
