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๐Ÿค– AI & ML Track ยท Applications Open

AI / Machine Learning Internship

Build, train, and ship real machine learning models for live client products โ€” not toy datasets. Work alongside engineers deploying AI into production systems.

What This Internship Is About

Aurstrat's AI/ML internship puts you inside our applied AI team, where you'll help design and deploy machine learning components for real client projects โ€” from predictive models to NLP-driven features. This isn't a lecture series; you'll be writing Python, touching real datasets, and reviewing model performance with engineers who ship to production.

You'll pair on tasks spanning the full ML lifecycle: data cleaning and feature engineering, model selection and training, evaluation, and packaging models for integration into client-facing applications. Expect code reviews, version-controlled experiments, and direct feedback from senior engineers.

Your Responsibilities

๐Ÿงน
Data Preparation
Clean, label, and structure raw datasets from client sources so they are ready for model training.
๐Ÿง 
Model Development
Build and train classification, regression, and NLP models using Python, scikit-learn, and PyTorch/TensorFlow.
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Model Evaluation
Run validation experiments, track metrics, and document performance trade-offs for the team.
๐Ÿ”—
Deployment Support
Help package trained models into APIs/services that plug into client-facing applications.
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Experiment Logging
Maintain clear, versioned records of experiments, hyperparameters, and results for reproducibility.

Skills You'll Learn

๐Ÿ
Applied Python for ML
Hands-on fluency with pandas, NumPy, scikit-learn, and either PyTorch or TensorFlow.
๐Ÿงฎ
Model Selection & Tuning
How to choose the right algorithm for a problem and tune hyperparameters systematically.
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Evaluation Metrics
Precision, recall, F1, ROC-AUC, and when each one actually matters for a business use case.
๐Ÿ—ฃ๏ธ
NLP Fundamentals
Text preprocessing, embeddings, and using pretrained transformer models for real tasks.
๐Ÿš€
ML in Production
What changes when a model moves from a notebook to a live API โ€” versioning, monitoring, and retraining.

Projects You'll Work On

Client Churn Prediction Model
Build a classification model that flags at-risk customers from historical usage data for a client dashboard.
Pythonscikit-learnFeature Engineering
Support Ticket Auto-Categorization
Train an NLP model to automatically tag and route incoming support tickets by topic.
NLPTransformersText Classification
Demand Forecasting Prototype
Prototype a time-series forecasting model to help a client plan inventory or staffing.
Time SeriespandasForecasting

Requirements

โœ…
Currently Enrolled
Actively pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
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Python Basics
Comfortable writing Python and familiar with core data structures; no prior ML experience required.
๐Ÿ“š
Math Foundations
Some exposure to linear algebra, probability, or statistics (coursework is fine).
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Willingness to Learn
Genuine curiosity about how ML models are built and deployed โ€” we'll teach the rest.
โฐ
Time Commitment
Able to commit Monโ€“Fri engagement for the full 6-month duration.

Benefits

๐Ÿ› ๏ธ
Real Model Deployment
Ship models that actually run in client products, not throwaway assignments.
๐Ÿง‘โ€๐Ÿซ
ML Engineer Mentorship
Weekly 1:1s with engineers who review your code and model choices.
๐Ÿ“œ
Certificate & Recommendation
Official certificate, plus a written recommendation for top performers.
๐ŸŒ
Founder Network Access
Join the 500+ member EngineerToFounder community of student builders.
๐Ÿ’ผ
Portfolio-Ready Projects
Leave with 2-3 real ML projects you can show in interviews.

Duration & Certificate

โฑ๏ธ
6 Months Internship
Monday โ€“ Friday ยท Structured sprints with weekly deliverables and model review checkpoints.
๐Ÿ“œ
Official AI/ML Internship Certificate
Issued by Aurstrat Technology on successful completion, detailing the models and projects you contributed to.

Career Opportunities

๐ŸŽฏ
ML/AI Engineer Roles
Direct pathway into junior ML engineer or applied scientist roles at product and AI-first companies.
๐Ÿข
Full-Time Offer Track
Standout interns are considered for full-time or extended roles at Aurstrat.
๐ŸŽ“
Research-Ready Portfolio
Strong foundation and project history for pursuing ML-focused higher studies or research assistantships.

Selection Process

1
Apply Online
Submit the application form on this page with your background and interest in AI/ML.
2
Screening Call
A short call to understand your Python/ML familiarity and goals.
3
Technical Discussion
A friendly walkthrough of a small ML problem โ€” no whiteboard grilling, just how you think.
4
Offer & Onboarding
Selected candidates receive an offer and are onboarded into an active project pod.

Frequently Asked Questions

Submit Your Application

Fill in your details โ€” we'll review and reach out within 3 working days.

๐ŸŽฏ Rolling admissions ยท 6-month duration ยท Monโ€“Fri engagement