AI Intern

AIESEC Mexico; India; On-site; Part time

Benefits offered by this job

Accommodation provided

Meals included

Leadership training

Job summary

A global youth organization seeks a passionate Al/ML Intern located in India. This unpaid internship involves working on projects in Artificial Intelligence and Machine Learning, focusing on model design, real-time applications, data analysis, and algorithm research. Candidates must have a strong understanding of Python and a bachelor's degree. The position provides accommodation and meals, ensuring a rich international experience within a diverse environment.

Qualifications

• Strong understanding of Python and experience with AI/ML projects.
• Ability to collaborate on real-time AI/ML applications.
• Experience in data cleaning, analysis, and model evaluation.

Responsibilities

• Assist in designing, building, and deploying AI/ML models.
• Collaborate with the team on AI/ML applications.
• Research and implement state-of-the-art algorithms.

Skills

Python

Artificial Intelligence

Machine Learning

Communication

Education

Bachelor's Degree

Job description

Global Talent

Get an international experience in a corporate environment.

These are the locally spoken languages that you’ll have to know.

Education

These are the backgrounds this opportunity is associated with.

Unpaid

This job opportunity is unpaid.

You'll be working at

Maharishi Markandeshwar (Deemed to be University), Mullana (MMDU) is a prestigious NAAC ‘A’ Grade university in North India, recognized for academic excellence and global standards. Established in 1993 near Ambala, Haryana, it offers top programs in medicine, engineering, management, law, nursing, and allied sciences on a modern, hi-tech campus. MMDU proudly hosts students from 50+ countries, creating a diverse and multicultural learning environment. With industry-focused curricula, experienced faculty, strong research exposure, and excellent placement support, the university prepares students for successful global careers. Safe accommodation, vibrant campus life, and dedicated international student services make MMDU an ideal destination for students worldwide.

We are looking for a passionate and motivated Al/ML Intern who has a strong understanding of Python and has worked on projects in Artificial Intelligence and Machine Learning. This is a great opportunity to work on real-world applications and gain hands‑on experience in a collaborative environment.

• Assist in designing, building, and deploying Al/ML models
• Collaborate with the team on real‑time Al/ML applications
• Data cleaning, analysis, and model evaluation
• Research and implement state‑of‑the‑art algorithms

The steps involved in being selected for this opportunity. Switzerland

Application process usually takes 3 days

STEP 1

AIESEC Introductory Video

STEP 2

Client Acceptance

Check how well you match the required profile

Backgrounds

Education

Skills

Communication

Languages

Nationality

Any Nationality

Bachelor (Required)

Logistics

What you’ll be provided with during your stay

Accommodation

A place to stay will be provided and paid for.

Food

3 meals per day will be provided and paid for.

Leadership space

AIESEC will be providing leadership training during your experience.

Student, Intern, Business or Employment VISA - You will require this visa for the duration of the opportunity.

You will require health insurance for the duration of the opportunity.

Apply your skills and knowledge in a practical environment.

International Exposure - Experience working in new cultures and industries.

Our programs can help you live the leadership values: (Activating Leadership, Acting Sustainably, Striving for Excellence, Living Diversity, Enjoying Participation and Demonstrating Integrity)

Receive AIESEC Support for Selection (assistance with your application to opportunities and selection process).

Depending on the opportunity, you will receive either a salary to cover your costs or be provided with accommodation for the duration of your experience abroad.

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