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AI Interns

ZycusCompetition: Moderate • Entry Level
|Mumbai (Hybrid)|By CampusToCareer Editorial Team|Posted 1 day ago|Last verified 1 day ago
✓ Company career page verified✓ Application route verifiedLast checked on Jul 9, 2026
💼 Experience Required
0-1 Years
🕒 Employment Type
Internship
🎓 Target Batch
2025 / 2026
🚀 Role Category
Intern
📌 How to Apply
Click on the Apply button
💰 Stipend
Not publicly disclosed
Compensation follows company standards.
Skills Recommended
Machine LearningDeep LearningPythonTensorFlowPyTorchScikit-learnPandasAPIsdata structuresalgorithmsGenerative AILLMs
Career Guide • 15 min read

Complete preparation guide for AI Interns at Zycus

As an AI Intern at Zycus, you will work on real-world AI and machine learning projects, assist in building intelligent applications, and collaborate with developers and product teams to create innovative solutions. You will have the opportunity to gain hands-on experience with live AI projects, mentorship from experienced AI engineers, and exposure to modern AI tools and workflows.

✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 8 Jul 2026

About Zycus

Zycus is a global leader in Source-to-Pay (S2P) procurement software, helping large enterprises drive efficiency, compliance, and measurable value across their procurement and finance operations. With a strong global presence across North America, EMEA, and APAC, Zycus continues to invest aggressively in product innovation, AI-led capabilities, and brand leadership—shaping the future of intelligent procurement.

Required Skills Explained

Machine Learning

Why required: Machine learning is a crucial skill for this role as it enables the development and deployment of AI/ML models.

How recruiters evaluate: The recruiter will evaluate your understanding of machine learning concepts and your ability to apply them to real-world problems.

  • Andrew Ng's Machine Learning course on Coursera
  • Machine Learning by Tom Mitchell

Deep Learning

Why required: Deep learning is a key skill for this role as it enables the development of complex AI models.

How recruiters evaluate: The recruiter will evaluate your understanding of deep learning concepts and your ability to apply them to real-world problems.

  • Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  • Deep Learning Specialization on Coursera

Python

Why required: Python is a key skill for this role as it is widely used in AI and machine learning development.

How recruiters evaluate: The recruiter will evaluate your proficiency in Python and your ability to use it for AI and machine learning development.

  • Python for Data Science Handbook by Jake VanderPlas
  • Python Crash Course by Eric Matthes

TensorFlow

Why required: TensorFlow is a key skill for this role as it is a popular deep learning framework.

How recruiters evaluate: The recruiter will evaluate your understanding of TensorFlow and your ability to use it for deep learning development.

  • TensorFlow in Action by Imad Dabbura
  • TensorFlow Tutorial by Google

PyTorch

Why required: PyTorch is a key skill for this role as it is a popular deep learning framework.

How recruiters evaluate: The recruiter will evaluate your understanding of PyTorch and your ability to use it for deep learning development.

  • PyTorch in Action by Tariq Rashid
  • PyTorch Tutorial by Facebook

Scikit-learn

Why required: Scikit-learn is a key skill for this role as it is a popular machine learning library.

How recruiters evaluate: The recruiter will evaluate your understanding of Scikit-learn and your ability to use it for machine learning development.

  • Scikit-learn in Action by Jake VanderPlas
  • Scikit-learn Tutorial by Scikit-learn

Pandas

Why required: Pandas is a key skill for this role as it is a popular data manipulation library.

How recruiters evaluate: The recruiter will evaluate your understanding of Pandas and your ability to use it for data manipulation.

  • Pandas in Action by Jake VanderPlas
  • Pandas Tutorial by Pandas

APIs

Why required: APIs are a key skill for this role as they enable the integration of AI models with other systems.

How recruiters evaluate: The recruiter will evaluate your understanding of APIs and your ability to use them for integration.

  • API Design Patterns by JJ Geewax
  • API Tutorial by API

Data Structures

Why required: Data structures are a key skill for this role as they enable the efficient storage and manipulation of data.

How recruiters evaluate: The recruiter will evaluate your understanding of data structures and your ability to use them for efficient data storage and manipulation.

  • Data Structures and Algorithms in Python by Michael T. Goodrich
  • Data Structures Tutorial by GeeksforGeeks

Algorithms

Why required: Algorithms are a key skill for this role as they enable the efficient processing of data.

How recruiters evaluate: The recruiter will evaluate your understanding of algorithms and your ability to use them for efficient data processing.

  • Algorithms to Live By by Brian Christian and Tom Griffiths
  • Algorithms Tutorial by GeeksforGeeks

Generative AI

Why required: Generative AI is a key skill for this role as it enables the development of complex AI models.

How recruiters evaluate: The recruiter will evaluate your understanding of Generative AI and your ability to apply it to real-world problems.

  • Generative AI by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  • Generative AI Tutorial by Generative AI

LLMs

Why required: LLMs are a key skill for this role as they enable the development of complex AI models.

How recruiters evaluate: The recruiter will evaluate your understanding of LLMs and your ability to apply them to real-world problems.

  • LLMs by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  • LLMs Tutorial by LLMs

Who Should Apply

freshers

Freshers with a passion for Artificial Intelligence and emerging technologies can apply for this role.

experienced

Experienced professionals with a background in AI and machine learning can also apply for this role.

graduates

Graduates with a degree in Computer Science or related fields can apply for this role.

btech

B.Tech graduates with a degree in Computer Science or related fields can apply for this role.

mca

MCA graduates with a degree in Computer Science or related fields can apply for this role.

diploma

Diploma holders with a degree in Computer Science or related fields can apply for this role.

Typical Hiring Process

  1. Round 1: The first round will be a technical interview to evaluate your understanding of AI and machine learning concepts.
  2. Round 2: The second round will be a coding challenge to evaluate your coding skills and ability to apply AI and machine learning concepts to real-world problems.
  3. Round 3: The third round will be a personal interview to evaluate your passion for AI and emerging technologies and your ability to work in a team.

Resume Tips for This Role

  • Highlight your understanding of AI and machine learning concepts.
  • Mention your experience with deep learning frameworks such as TensorFlow and PyTorch.
  • Include your experience with machine learning libraries such as Scikit-learn and Pandas.
  • Highlight your ability to work with APIs and data structures.
  • Mention your experience with Generative AI and LLMs.

Interview Preparation Tips

  • Be prepared to answer technical questions related to AI and machine learning.
  • Be prepared to write code to solve problems related to AI and machine learning.
  • Be prepared to answer questions related to your experience with AI and machine learning.
  • Be prepared to answer questions related to your passion for AI and emerging technologies.

Possible Interview Questions (10)

  1. What is your understanding of machine learning?
  2. How do you implement deep learning models?
  3. What is your experience with TensorFlow and PyTorch?
  4. How do you use Scikit-learn and Pandas for machine learning?
  5. What is your experience with APIs and data structures?
  6. How do you implement Generative AI and LLMs?
  7. What is your passion for AI and emerging technologies?
  8. How do you stay updated with the latest developments in AI and machine learning?
  9. Can you explain a complex AI concept to a non-technical person?
  10. How do you handle missing data in a machine learning model?

Salary Insights (India)

Industry range

The salary range for this role in the industry is ₹5-10 lakhs per annum.

Freshers

The salary range for freshers in this role is ₹3-6 lakhs per annum.

Experienced

The salary range for experienced professionals in this role is ₹8-15 lakhs per annum.

The salary for this role can grow up to ₹20 lakhs per annum with experience and performance.

Career Path Roadmap

1
AI Engineer

After gaining experience in this role, you can move to a senior AI engineer role where you will be responsible for leading AI projects and teams.

2
AI Researcher

After gaining experience in this role, you can move to an AI researcher role where you will be responsible for researching and developing new AI algorithms and models.

3
AI Consultant

After gaining experience in this role, you can move to an AI consultant role where you will be responsible for advising clients on AI strategy and implementation.

Why This Opportunity Is Worth Considering

  • This role offers the opportunity to work with a leading AI company.
  • This role offers the opportunity to work on real-world AI projects.
  • This role offers the opportunity to gain experience with deep learning frameworks and machine learning libraries.
  • This role offers the opportunity to work with a team of experienced AI professionals.

Things To Know Before Applying

  • This role requires a strong understanding of AI and machine learning concepts.
  • This role requires experience with deep learning frameworks and machine learning libraries.
  • This role requires strong coding skills and the ability to work with APIs and data structures.
  • This role requires the ability to work in a team and communicate technical concepts to non-technical people.

Recommended Courses

Deep Learning Specialization
Coursera

This course provides a comprehensive introduction to deep learning concepts and techniques.

Machine Learning with Python
DataCamp

This course provides a comprehensive introduction to machine learning concepts and techniques with Python.

API Design Patterns
Udemy

This course provides a comprehensive introduction to API design patterns and techniques.

Career Advice

To succeed in this role, you need to have a strong understanding of AI and machine learning concepts, as well as experience with deep learning frameworks and machine learning libraries. You also need to have strong coding skills and be able to work with APIs and data structures.

Editorial Note: This role is a great opportunity for those who are passionate about AI and machine learning and want to gain experience with a leading AI company. However, it requires a strong understanding of AI and machine learning concepts, as well as experience with deep learning frameworks and machine learning libraries.
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked

Frequently Asked Questions

The salary range for this role is ₹5-10 lakhs per annum.
The experience required for this role is 0-1 year.
The skills required for this role include machine learning, deep learning, Python, TensorFlow, PyTorch, Scikit-learn, Pandas, APIs, data structures, algorithms, Generative AI, and LLMs.

Similar Roles to Explore

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Original Job Description

The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.

Job Description

AI Interns

JXFPUQYF7

Experience: 0-1 Years

Location: Mumbai (Hybrid)

Department: US Delivery

Employment Type: Intern

Apply to this Job

Zycus is a global leader in Source-to-Pay (S2P) procurement software, helping large enterprises drive efficiency, compliance, and measurable value across their procurement and finance operations. Trusted by leading Fortune 1000 organizations worldwide, Zycus enables procurement teams to move from cost control to strategic value creation.

At the core of Zycus’ platform is Merlin AI, an advanced AI-powered engine that brings intelligence, automation, and predictive insights across the entire procurement lifecycle—from sourcing and contract management to procurement, invoicing, and supplier management. Merlin AI empowers Chief Procurement Officers and finance leaders to make faster, smarter decisions with real-time visibility and actionable insights.

Zycus is consistently recognized by top industry analysts such as Gartner, Forrester, and IDC for its innovation, depth of functionality, and strong customer outcomes. Known for its enterprise-grade solutions, global delivery model, and customer-first mindset, Zycus partners closely with organizations to modernize procurement and unlock long-term business value.

With a strong global presence across North America, EMEA, and APAC, Zycus continues to invest aggressively in product innovation, AI-led capabilities, and brand leadership—shaping the future of intelligent procurement.

We Are An Equal Opportunity Employer:

Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements.

Job Description

Zycus is hiring motivated and curious AI Intern to join our team for a 6-month internship. The intern will work on real-world AI and machine learning projects, assist in building intelligent applications, and collaborate with developers and product teams to create innovative solutions.

Key Responsibilities

Assist in developing and deploying AI/ML models.

Work on data preprocessing, cleaning, and analysis.

Support the development of NLP, computer vision, or generative AI solutions.

Research new AI technologies, frameworks, and tools.

Help optimize model performance and accuracy.

Collaborate with engineering and product teams on AI-driven features.

Prepare documentation, reports, and presentations for projects.

Required Skills

Basic understanding of Machine Learning and Deep Learning concepts.

Familiarity with Python and libraries such as TensorFlow, PyTorch, Scikit-learn, or Pandas.

Knowledge of APIs, data structures, and algorithms.

Understanding of Generative AI or LLMs is a plus.

Good analytical and problem-solving skills.

Strong communication and teamwork abilities.

Eligibility Criteria

B.E. / B.Tech graduate or final-year student, (2025 or 2026 graduates only).

0–1 year of experience in AI/ML projects or internships.

Passion for Artificial Intelligence and emerging technologies.

What You’ll Gain

Hands-on experience with live AI projects.

Mentorship from experienced AI engineers.

Exposure to modern AI tools and workflows.

Opportunity for a full-time role based on performance.