AI/ML Intern at Suzuki | CampusToCareer

Job Details & Requirements

Verified Employer Listing

Job Description

We're Hiring: AI/ML Intern | Location: Gurgaon (On-site)

Are you passionate about Artificial Intelligence and looking to kick-start your career in AI? We're looking for enthusiastic AI/ML Interns to join our team!

📍 Location: Gurgaon (On-site)

🎓 Eligibility:

B.Tech / B.E.

BCA + MCA

💻 Required Skills:

Hands-on exposure to Python

Basic understanding of Machine Learning

Knowledge of Natural Language Processing (NLP)

Exposure to Large Language Models (LLMs)

Strong interest in building a career in the AI domain

Eagerness to learn and work on real-world AI projects

📌 Eligibility Note:

Candidates currently residing in Delhi-NCR are encouraged to apply, as this is an on-site internship.

If you're ready to learn, innovate, and grow with us, we'd love to hear from you!

📩 Interested candidates please share your resume at vidhi.chaudhry@suzuki-digital.com

Recommended Technical Skills

PythonMachine Learning

🎓 Preparation Guide for AI/ML Intern

Verified Guide • 4 min read

Suzuki is accepting applications for the AI/ML Intern (Internship) role in Gurgaon, targeted towards Fresher graduates (Fresher). Compensation is governed by company compensation bands and candidate assessment. Key skills highlighted for this position include Python, Machine Learning. This guide provides independent candidate preparation notes to help you align your resume, review key competencies, and submit an informed application through Suzuki's official portal.

Role Highlights & Candidate Considerations

Key factors to review before submitting your application for AI/ML Intern at Suzuki:

✓ Verified entry-level opportunity for Fresher candidates looking to start a career at Suzuki.

✓ Clear technical alignment if your portfolio demonstrates hands-on work with Python, Machine Learning.

✓ On-site/hybrid collaboration at Gurgaon, offering direct team interaction and mentorship.

✓ Opportunity to establish verified industry experience and build production project depth.

Important considerations:

• Fresher and entry-level openings receive high applicant volumes — early, well-tailored submissions are critical.

• Evaluation may include practical drills on listed competencies (Python, Machine Learning).

Key Evaluation Focus Areas

Hiring panels for entry-level AI/ML Intern roles generally evaluate candidates across core fundamentals, practical implementation capability, and structured communication:

✓ Evidence of hands-on project implementation rather than just tutorial completions.

✓ Clear verbal explanation of technical decisions, architecture choices, and trade-offs.

✓ Strong grasp of core fundamentals relevant to the role category.

✓ Familiarity with standard developer tools (Git, terminal, clean code formatting).

Application Checklist for AI/ML Intern

Review these actionable items before clicking the application button:

1. Confirm graduation batch eligibility (Fresher) and location requirement (Gurgaon).

2. Ensure project descriptions mention measurable impact and specific tools used.

3. Verify all live demos, portfolio links, and GitHub repositories are publicly accessible.

4. Practice a structured walkthrough of your main project using the STAR method.

Frequently Asked Questions

Who is eligible to apply for AI/ML Intern at Suzuki?

This opening is structured for Fresher candidates from the Fresher batch in Gurgaon. Candidates should review the official job posting to verify degree specializations and eligibility criteria.

Do I need prior full-time experience for this role?

No, this is an entry-level/fresher opportunity (Fresher). Prior full-time corporate experience is not required. Strong academic foundations, internships, personal builds, or open-source contributions that demonstrate relevant skills are effective proof of capability.

What technical depth and skills are evaluated in interviews?

Candidates should focus on core fundamentals (Python, Machine Learning), clean code practices, and the ability to explain the architecture and problem-solving behind their personal or academic projects.

How does CampusToCareer verify this job listing?

Every job on CampusToCareer is manually verified against the employer's official careers portal before listing, and opportunities are maintained for a 14-day freshness window to prevent stale applications.

What should I do if the application link is no longer accepting responses?

If a listing has reached its application cap on the employer portal, visit Suzuki's official careers website directly to check for re-opened positions or related opportunities.

AI/ML Intern