If you’re serious about landing a job in AI or Machine Learning in 2025, here’s a reality check: recruiters aren’t just looking for someone who knows Python and Scikit-learn. They’re looking for people who can build real, deployable solutions to real problems. In this article, I’ll take you through my curated list of 35 AI & ML guided projects you should try to become a job-ready AI & ML Engineer.
AI & ML Projects to Get Job Ready
After mentoring hundreds of aspiring ML Engineers, here’s my curated list of 35 AI & ML guided projects that’ll not only strengthen your technical skills but also make your resume stand out.
- Recommendation System using TensorFlow
- Dynamic Pricing Strategy
- Smart Loan Recovery System
- Geospatial Clustering
- Credit Scoring & Segmentation
- App User Segmentation
- Credit Card Clustering
- Clustering Music Genres
- Google Search Queries Anomaly Detection
- Consumer Complaint Classification
- Text Emotions Classification
- Topic Modelling
- Packaging ML Models
- End-to-End Predictive Model
- Compare Multiple Predictive Models
- Image Classification Model
- YouTube Video Chaptering
- AI Image Caption Recommendation System
- End-to-End Chatbot
- Text Generation Model
- Building AI Agents with CrewAI
- Building a Multimodal AI Model
- Building an AI Agent using Agentic AI
- Building an AI Agent using OpenAI API
- Building a Predictive Keyboard Model
- Next Word Prediction Model
- Text Completion using Fine-tuning LLMs
- Text Summarization Model with LLMs
- Document Analysis using LLMs
- Building an LLM from Scratch
- Building a Rag Pipeline for LLMs
- Data Augmentation using LLMs
- Generative AI Model From Scratch
- Fashion Recommendations using Image Features
- Code Generation Model with LLMs
Many of these projects will require you to know the fundamentals of ML Algorithms, GenAI and LLMs. You can follow my book to learn everything step-by-step. Find it below:
Summary
These aren’t just practice projects. They’re designed to show you can:
- Work with modern AI stacks: TensorFlow, PyTorch, LangChain, CrewAI, OpenAI API.
- Handle end-to-end workflows: from data preprocessing to deployment.
- Integrate AI into real-world products: not just Jupyter notebooks.
- Build with LLMs & Agentic AI: the hottest job skill in AI right now.
I hope you liked this article on 35 AI & ML guided projects to help you become a job-ready AI & ML Engineer. Feel free to ask valuable questions in the comments section below. You can follow me on Instagram for many more resources.
