Job Description
Are you a final-year engineering student or recent graduate eager to build practical, real-world artificial intelligence solutions? The highly anticipated AI Internship at Zycus Bangalore is officially open! Zycus, a global leader in AI-powered Source-to-Pay (S2P) procurement software, is seeking motivated and curious individuals to join their US Delivery and AI Innovation teams. In this 6-month AI internship, you won’t just be working on academic projects; you will be experimenting with generative AI, large language models (LLMs), and agentic tools to solve complex enterprise problems.
If you have a passion for machine learning, Python programming, and rapid prototyping, this is your opportunity to learn from industry experts and potentially secure a full-time role at a leading SaaS company!
Role Overview
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Join a world-class engineering team for a 6-month AI Internship at Zycus Bangalore, focusing on building intelligent applications and automation workflows.
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Bridge the gap between academic theory and enterprise reality during this AI internship, collaborating directly with developers, product managers, and cross-functional teams.
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Assist in identifying inefficiencies across customer success workflows and contribute to a growing backlog of AI and automation ideas.
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Rapidly prototype and experiment with small-scale AI solutions (such as chatbots and workflow automations) using low-code tools, Python, and generative AI APIs.
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Help deploy pilot solutions, track usage metrics, and continuously iterate on models to optimize their accuracy and performance.
Key Responsibilities
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Assist in developing, training, and deploying AI and machine learning models for real-world business use cases.
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Handle data preprocessing, cleaning, and exploratory data analysis to prepare datasets for model training.
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Support the development of Natural Language Processing (NLP), Generative AI, or computer vision solutions.
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Research and implement emerging AI technologies, frameworks (like LangChain or LlamaIndex), and large language models.
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Prepare detailed documentation, prompt libraries, and technical presentations to share knowledge with internal stakeholders.
Qualifications
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B.E. or B.Tech graduates, or final-year students specifically from the 2025 or 2026 graduating batches.
- Candidates with 0 to 1 year of experience in AI/ML projects, academic research, or previous technical internships.
- A strong, demonstrable passion for Artificial Intelligence, emerging SaaS technologies, and continuous learning.
- No specific major is strictly mandated, but students in Computer Science, Data Science, or related fields are highly preferred.
Requirements
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Core Concepts: Basic understanding of Machine Learning and Deep Learning concepts, along with strong analytical and problem-solving skills.
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Programming: Hands-on familiarity with Python and standard data science libraries such as TensorFlow, PyTorch, Scikit-learn, or Pandas.
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Computer Science Fundamentals: Solid knowledge of RESTful APIs, data structures, algorithms, and JSON data handling.
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Gen-AI Knowledge: Understanding of Generative AI, LLMs, and exposure to OpenAI APIs or similar frameworks is considered a strong plus.
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Communication: Strong teamwork abilities and excellent communication skills to articulate technical ideas clearly to non-technical teams.
Job Benefits
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A competitive monthly stipend in line with SaaS industry standards (historically ranging from ₹15,000 to ₹25,000 per month for Zycus intern roles).
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A highly flexible Hybrid work model based out of the Bangalore office, ensuring a great balance of mentorship and independent work.
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Direct, hands-on exposure to modern AI tools, enterprise-grade workflows, and real generative AI use cases.
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Invaluable mentorship from experienced AI engineers and senior delivery leaders within a global product company.
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A strong pathway to secure a full-time Pre-Placement Offer (PPO) based on your performance and project impact during the internship.
FAQs
Q: Who is eligible for this Zycus internship?
A: B.E. or B.Tech final-year students and recent graduates strictly from the 2025 or 2026 batches are eligible to apply.
Q: What programming languages should I know? A: Strong familiarity with Python is essential, along with knowledge of AI/ML libraries like Pandas, Scikit-learn, PyTorch, or TensorFlow.
Q: Is this a remote or in-office role? A: This internship operates on a Hybrid model based out of Zycus’s Bangalore office.
Q: Can this internship lead to a full-time job? A: Yes, Zycus offers a strong opportunity for a full-time role (Pre-Placement Offer) based on your performance during the 6-month period.
About Zycus
Zycus: Redefining Global Procurement with Cognitive AI and Source-to-Pay Innovation Headquartered in Princeton, New Jersey, and operating world-class engineering, research, and operations hubs across India (including premier tech campuses in Mumbai, Pune, and Bengaluru), Zycus Inc. is a pioneer and global leader in Cognitive Source-to-Pay (S2P) software solutions. While traditional enterprise resource planning (ERP) suites treat procurement as a basic...
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Prepare with commonly asked questions for this role
Supervised learning algorithms are trained on labeled datasets, meaning the input data comes with the correct output (e.g., predicting house prices based on historical data). The model learns to map inputs to outputs. Unsupervised learning algorithms are trained on unlabeled data. The system tries to learn the underlying structure or distribution in the data without explicit instructions on what the output should be (e.g., customer segmentation using clustering).
LLMs, like GPT, are built on the Transformer architecture. They generate text by predicting the next most likely token (word or subword) in a sequence, given the context of all the previous tokens. They do this using self-attention mechanisms that weigh the importance of different words in the input prompt, passing this information through layers of neural networks to output a probability distribution over the entire vocabulary for the next word.
pandas is a powerful, open-source data manipulation and analysis library built on top of NumPy. It provides highly efficient data structures, primarily the DataFrame (a 2D tabular structure) and the Series (a 1D array). It is used extensively in machine learning for data cleaning, filtering, handling missing values, grouping, and merging datasets before feeding them into a model.
Overfitting occurs when a machine learning model learns the training data too well, capturing noise and statistical fluctuations rather than the underlying pattern. As a result, it performs excellently on the training data but poorly on unseen test data. To prevent overfitting, we can use techniques like Cross-Validation, adding Regularization (L1/L2), pruning (in decision trees), implementing Dropout (in neural networks), or simply training the model with more diverse data.
Zycus is a market leader in SaaS procurement, and integrating AI into enterprise workflows is the future of the industry. I am particularly drawn to this internship because it goes beyond academic datasets, allowing me to work on real-world generative AI and NLP problems. I am eager to apply my Python and machine learning skills to build practical chatbots and automation tools, and I believe the mentorship at Zycus will provide the perfect foundation for my AI engineering career.