AI Intern

Job Description

🆔Job ID: JXFPUQYF7
🏢Company: Zycus
📍Location: Mumbai, Maharashtra, India 🇮🇳
💼Job Type: Internship – Full-Time 💻
🏢Work Mode: Hybrid 🔄
⏳Experience: 0–1 Years 🤖
🎓Education: B.E./B.Tech – Final-year students or graduates from 2025/2026 🎓
💰Expected Salary: ₹15,000 – ₹40,000 Per Month (Estimated Internship Stipend) 💸
📊Job Category: Information Technology, Engineering, Artificial Intelligence, Machine Learning, Generative AI, Data Science, NLP, Computer Vision 🌐
🌐Website: Website
📞Contact: Contact us

🌟The best way to learn AI isn’t by watching another tutorial.

It’s by building something real.

Real data.

Real models.

Real problems.

Real users.

Zycus is hiring AI Interns in Mumbai for a 6-month internship where you’ll get the opportunity to work on real-world AI and Machine Learning projects.

If you’ve been learning Python, experimenting with ML models, exploring LLMs, or wondering what AI engineering actually looks like inside a company—

this could be your chance to find out.

🌟About Zycus:
Zycus is a global provider of Source-to-Pay (S2P) procurement software, helping large enterprises improve procurement and finance operations. 🌎💼

At the heart of its platform is Merlin AI, an AI-powered engine designed to bring automation, intelligence, and predictive insights across the procurement lifecycle.

Zycus works with organizations across North America, EMEA, and APAC and continues to invest heavily in AI-led product innovation. 🤖

💡About the Role:
As an AI Intern, you’ll work alongside developers and product teams on practical AI and Machine Learning initiatives.

Your work may involve data preprocessing, model development, NLP, computer vision, Generative AI, model optimization, and AI research.

You won’t just be learning what AI can do.

You’ll be learning how teams actually build with it.

The internship is for 6 months, with the possibility of a full-time opportunity based on performance.

📌Key Responsibilities:
📌 Assist in developing and deploying AI/ML models. 🤖

📌 Perform data preprocessing, cleaning, and analysis. 📊

📌 Support NLP, computer vision, and Generative AI solutions. 🧠

📌 Research emerging AI technologies, frameworks, and tools. 🔬

📌 Help improve model performance and accuracy. 📈

📌 Collaborate with engineering and product teams on AI-powered features. 🤝

📌 Assist with testing and experimentation of AI solutions. 🧪

📌 Prepare project documentation, reports, and presentations. 📝

📌 Contribute ideas for improving AI-driven products and workflows. 💡

🎯Requirements:
🎯 B.E./B.Tech final-year student or graduate from 2025 or 2026. 🎓

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

🎯 Basic understanding of Machine Learning and Deep Learning. 🧠

🎯 Familiarity with Python. 🐍

🎯 Knowledge of libraries such as TensorFlow, PyTorch, Scikit-learn, or Pandas. 📚

🎯 Understanding of APIs, data structures, and algorithms. ⚙️

🎯 Basic understanding of Generative AI or LLMs is an advantage. ✨

🎯 Strong analytical and problem-solving skills. 🔍

🎯 Good communication and teamwork abilities. 🤝

🎯 Genuine curiosity about Artificial Intelligence and emerging technologies. 🚀

🌟Preferred Skills:
✅ Python 🐍

✅ Machine Learning 🤖

✅ Deep Learning 🧠

✅ Generative AI & LLMs ✨

✅ TensorFlow / PyTorch 🔥

✅ Scikit-learn & Pandas 📊

✅ Natural Language Processing 🗣️

✅ Computer Vision 👁️

✅ APIs & Data Structures ⚙️

✅ AI Model Optimization 📈

🌟Why Join Zycus?
✅ Work on real-world AI projects. 🤖

✅ Get hands-on experience with modern AI workflows. 💻

✅ Learn from experienced AI engineers. 🧠

✅ Work alongside engineering and product teams. 🤝

✅ Explore Generative AI, NLP, and computer vision. 🚀

✅ Gain exposure to enterprise AI applications. 🌎

✅ Build practical experience that goes beyond academic projects. 📚

✅ Potential opportunity to transition into a full-time role based on performance. 🎯

🔥Career Insight:
Your first AI role doesn’t need to make you an expert.

It needs to make you better than you were yesterday.

You can learn another ML algorithm.

Another Python library.

Another prompt technique.

Another AI framework.

But eventually, tutorials stop teaching you what matters most:

How to solve messy, real-world problems.

That’s where an internship becomes valuable.

You learn how data behaves outside a classroom.

How models fail.

How teams collaborate.

How products actually use AI.

And most importantly—

how to turn an AI idea into something useful.

Don’t wait until you feel like an AI expert.

Start building.