AI/ML Internship

If you’re looking to build real, hands-on experience in Applied AI and Machine Learning Engineering, the AI/ML Internship at Kisan Udyog offers a structured opportunity to work on practical AI/ML tasks—from data preparation to model building and solution testing. This internship is work from home, full-time, and runs for 2 months, making it a strong short-term program for students who want meaningful project exposure and career-ready skills.

Internship Overview

The Kisan Udyog AI/ML Internship is designed for candidates who want to explore and contribute to real AI/ML workflows. Interns will collaborate with a team working on AI-powered solutions, participate in research, and support the end-to-end model development cycle.

Quick Highlights (At a Glance)

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Stipend: ₹20K–₹25K per Month

One of the most attractive parts of this internship is the stipend range:

• Minimum stipend: ₹20,000/month

• Maximum stipend: ₹25,000/month

This makes the Kisan Udyog internship especially appealing for students who want both learning and fair compensation while working remotely.

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Eligibility Criteria

This opportunity is open to a broad set of students, which is helpful if your background isn’t limited to only CS/IT.

Eligible candidates include:

• Undergraduate students

• Postgraduate students

• Engineering students

• Students from Management

• Students from Arts, Commerce, Sciences & other streams

Even if you’re not from a pure engineering background, you can still be a good fit—especially if you can demonstrate interest in AI/ML, data handling, and analytical thinking.

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Key Responsibilities of the AI/ML Intern

This internship includes a mix of technical execution, research, collaboration, and documentation. Here’s what you’ll work on:

1) Assist in AI/ML Model Development

You’ll support the development and implementation of AI and Machine Learning models. This may involve helping with model selection, training workflows, evaluation, and refinement.

2) Data Collection, Cleaning & Preprocessing

A major part of applied AI is data quality. Interns will participate in:

• collecting datasets (as needed),

• cleaning noisy data,

• transforming data into model-ready formats,

• preprocessing steps that improve performance.

3) Research on Latest AI/ML Trends

You’ll conduct research on current tools, methods, and advancements in AI/ML. This is valuable because it builds your understanding beyond just “running code” and helps you think like an engineer.

4) Analyze Data & Identify Patterns

Interns collaborate with the team to analyze data and discover patterns, trends, or relationships. This strengthens your real-world analytics capability—useful in both ML and business-facing AI roles.

5) Design and Testing of AI-Powered Solutions

You’ll contribute to the design and testing process, which could include:

• testing models on different datasets,

• checking edge cases,

• validating results,

• improving reliability.

6) Reports, Presentations & Communication

Technical work matters, but communicating it matters too. You will assist in:

• preparing reports,

• creating presentations,

• summarizing outcomes and insights.

7) Team Meetings and Idea Contribution

Interns are expected to participate in team meetings, contribute ideas, and collaborate with teammates—giving you exposure to professional workflows and team-based development.

8) Hands-on Experience with AI/ML Tools

You’ll gain practical exposure to AI/ML tools and technologies used in real development environments (exact tools may vary based on the team’s stack and project needs).

9) Support Innovation and Document Progress

You’ll support the development of innovative solutions and also:

• document project progress,

• record findings,

• keep track of improvements and results.

This is excellent practice because documentation is a key skill in engineering and research roles.

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Work Format: Remote, Full-Time, 5 Days/Week

This internship is:

• Work From Home

• Full-Time

• 5 working days per week

Since it’s full-time, it’s best suited for students who can commit consistent daily hours and want to treat the internship like a short, focused professional project.

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Perks and Career Value

Kisan Udyog lists multiple perks that can directly help your resume and placements:

• Certificate of Completion: Useful for credibility and proof of experience

• Letter of Recommendation (LOR): Strong support for future internships, higher studies, or job applications

• Pre-Placement Offer (PPO): A potential pathway to a future full-time opportunity based on performance

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Who Should Apply?

This internship is a good match if you:

• want real exposure to Applied AI / ML Engineering,

• can commit to a 2-month full-time remote role,

• want to strengthen your profile with projects, documentation, and teamwork,

• prefer internships that offer both learning + stipend + potential PPO.

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Final Takeaway

The Kisan Udyog AI/ML Internship stands out for its work-from-home setup, strong stipend (₹20K–₹25K/month), structured responsibilities across the AI/ML pipeline, and valuable perks like LOR, completion certificate, and PPO opportunity. For students aiming to build a credible AI/ML profile in a short duration, this 2-month internship can be a solid stepping stone.