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Digital Green Internship Openings 2026 | Join as a Machine Learning Software Application Intern in Bangalore | Placement Officer

 
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Digital Green Internship 2026 – Machine Learning Software Application Intern working on AI-driven agricultural solutions in Bangalore 

🌾 Digital Green Internship Openings 2026 | Join as a Machine Learning Software Application Intern in Bangalore | Placement Officer

🧠 Summary

Digital Green, a global non-profit organization committed to transforming smallholder farming communities through technology, has announced its 2026 Internship openings for the role of Machine Learning Software Application Intern. Based in Bangalore, Karnataka, this opportunity allows aspiring AI/ML professionals to apply cutting-edge technologies like Natural Language Processing (NLP), Image Processing, and Video Analytics to solve real-world agricultural challenges.

If you are passionate about social impact, machine learning, and sustainable agriculture, this internship could be your perfect gateway to make a difference while gaining hands-on experience in AI-driven innovation.


🌟 About Digital Green

Digital Green is a non-profit organization that bridges the gap between technology and agriculture. With backing from global institutions like the Bill & Melinda Gates Foundation (BMGF), Walmart Foundation, and UK Foreign, Commonwealth & Development Office (UKFCDO), Digital Green is at the forefront of developing data-driven solutions to improve farmer livelihoods.

Their mission is to use AI, ML, and data analytics to build scalable solutions that empower smallholder farmers globally.


💼 Internship Overview

🎓 Internship Title: Machine Learning Software Application Intern
🏢 Department: Technology
👨🏫 Reports to: AI Director
📍 Location: Bangalore, Karnataka, India
🕓 Duration: 4 months (extendable based on performance)
💰 Compensation: Competitive and comprehensive package


🔍 Detailed Job Description

As a Machine Learning Software Application Intern, you’ll work on designing and implementing AI-based agricultural applications that create real-world social impact.

Key Tasks:

·         Implement hands-on solutions to assigned problem statements.

·         Collaborate with the AI Director and peers to finalize technical architecture.

·         Develop prototypes and proof-of-concepts (PoCs) for experimental validation.

·         Convert prototypes into scalable, production-ready solutions.

Core Responsibilities:

·         Attend bi-weekly progress review sessions.

·         Submit detailed task reports, analysis, and outcome documentation.

·         Dedicate a minimum of 30 hours per week to research and development activities.

·         Explore innovative solutions and alternate technical approaches.


🎯 Qualifications and Requirements

Required Qualifications:

·         Graduate or Undergraduate in Computer Science, Statistics, Mathematics, Artificial Intelligence, or Machine Learning.

·         Strong programming proficiency in Python.

·         Experience in one or more ML domains: NLP, Image Processing, Audio/Video Analysis.

·         Database familiarity with SQL/NoSQL tools (Postgres, MongoDB, etc.).

Preferred Skills:

·         Open-source contribution mindset.

·         Experience writing clean, testable, modular code.

·         Awareness of latest trends in AI/ML research and development.

·         Innovative thinking and strong problem-solving orientation.


🧩 Learning Outcomes

This internship at Digital Green will help you:

·         Apply ML techniques to real-world agricultural and sustainability challenges.

·         Gain experience in rapid prototyping and product lifecycle management.

·         Enhance hands-on skills in Python, ML frameworks, and databases.

·         Build research and innovation competencies in AI.

·         Contribute to projects that directly impact farmer communities.

·         Learn to collaborate in a mission-driven, global environment.


💡 Pro Tips to Apply for the Digital Green ML Internship 2026

1.       Highlight Social Impact Motivation: Emphasize your passion for technology that benefits rural and agricultural development.

2.      Showcase Relevant ML Projects: Add links or GitHub repositories that demonstrate your ML, AI, or data science skills.

3.      Tailor Your Resume: Align your academic and technical achievements with the role’s focus areas—Python, AI, and database management.

4.     Craft a Purposeful Cover Letter: Explain how you can contribute to Digital Green’s mission to improve farmer livelihoods through technology.

5.      Stay Updated: Be familiar with AI trends in agriculture, like crop prediction models and agri-data analytics.


🧠 Essential Skills to Procure This Internship

·         Python Programming (Core skill)

·         Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)

·         Database Management (SQL, NoSQL)

·         Data Preprocessing & Analysis

·         NLP or Image/Video Processing

·         Research & Innovation Mindset

·         Team Collaboration & Communication


🌱 How to Apply

Interested candidates can apply through the official portal:
👉 Apply Here at Digital Green

Ensure you attach:

·         Updated Resume

·         Custom Cover Letter detailing your motivation and technical fit


FAQs – Digital Green Internship 2026

1. Is this internship paid?
Yes, Digital Green offers a competitive and comprehensive compensation package.

2. What is the duration of this internship?
The internship runs for 4 months, with a possible extension based on performance.

3. Who can apply?
Undergraduate and graduate students specializing in AI, ML, Computer Science, Statistics, or related fields.

4. What technologies will I work with?
You’ll work on Python, ML models, NLP, Image Processing, Databases (Postgres, MongoDB), and possibly AI frameworks.

5. Is this internship remote or on-site?
The internship is based in Bangalore, Karnataka, and may include hybrid collaboration options.
 

🔗 Apply Link: Click Here To Apply for Digital Green 

 

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Disclaimer
The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company's official process. We do not charge any fees for sharing this job information.

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