AI Developer Internship
1-6 months remote internship to build real AI projects with mentorship
About the Program
This internship focuses on building intelligent applications using Artificial Intelligence and Machine Learning. Interns will gain hands-on experience in developing AI models, training datasets, implementing Natural Language Processing (NLP), Computer Vision, and integrating AI solutions into real-world applications. The program emphasizes Python and deployment of AI models through APIs and cloud platforms.
You'll work directly with senior developers, participate in code reviews, and build portfolio-worthy projects that solve actual business problems.
What You'll Do
Develop and train AI/ML models using Python.
Build intelligent applications with Natural Language Processing (NLP) and Computer Vision.
Debug and optimize machine learning models for accuracy and performance.
Learn to identify data quality issues and apply preprocessing techniques.
Integrate AI models into applications through REST APIs.
Deploy AI solutions on cloud platforms for scalability and real-world usage.
Team Collaboration (Daily Scrum Meeting).
Use Git/GitHub for version control. Work in a simulated Agile team environment.
Daily Schedule
9:30 AM - Daily Standup
15-minute team sync to plan the day's work
10 AM - 12 PM - Project Development
Focused coding time with mentor support
2 PM - 3 PM - Mentor Session
Deep dive into technical concepts and code reviews
Quick Facts
- Format Remote
- Cohort Size 20 interns
- Hours/Week 25-30
- Certificate Yes
- Work Time Flexible working time
Eligibility
Exciting Rewards
Application Deadline
Learning Outcomes
AI & Machine Learning Fundamentals
Understand the core concepts of AI, supervised and unsupervised learning, and model evaluation.
Data Preprocessing & Feature Engineering
Learn techniques to clean, preprocess, and transform raw data into usable formats for AI models.
Natural Language Processing (NLP)
Build applications that can analyze, process, and understand human language.
Model Deployment & Integration
Deploy trained AI/ML models into real-world applications using REST APIs and cloud services.
Ability to understand
Monolith, Microservices, API, Refactoring, Technical Debt, Boilerplate Code, POC, Hotfix.
Expertise on
Unit Test, End-to-End Test (E2E), Code Coverage, UAT (User Acceptance Testing), Sprint, Epic, Containerization, Monitoring & Observability.
Mentorship
1:1 Weekly Sessions
Personalized feedback and career guidance from senior developers
Code Reviews
Detailed feedback on your pull requests and architecture
24/7 Support
Dedicated Slack channel for instant help
Smart Chatbot for Customer Support
Python, Rasa, NLP, FastAPI
Develop a chatbot capable of understanding queries, providing answers, and escalating issues when needed.
- Implement NLP-based intent recognition.
- Train the model with real customer support data.
- Enable multi-turn conversations with context retention.
- Deploy chatbot APIs for web/mobile integration.
Crop Disease Detection System
Python, CNN, TensorFlow, OpenCV
Develop a computer vision model that identifies plant diseases from leaf images.
- Train CNN models on agricultural datasets.
- Integrate accounting features and basic payroll.
- Build a farmer-friendly mobile/web app.
- Deploy with TensorFlow Lite for edge devices.