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Machine Learning Intern

Company: Nexal IIT

Location: Remote

Duration: Up to 6 months

Batch Start Date: 10th August

Application Deadline: 09th August

About the Program

At Nexal IIT, we're doing things differently. This isn't a traditional job or a standard internship—it’s an open collaboration program designed for aspiring machine learning engineers and practitioners to gain hands-on, real-world experience. If you are self-taught, a student, or transitioning careers, this is a space for you to work on actual predictive modeling challenges, build your portfolio, and learn by doing alongside our team.

What You’ll Do

Data Engineering & Feature Extraction: Preprocess, clean, and transform messy structured and unstructured datasets to extract meaningful features for modeling.

Train & Tune Algorithms: Build, evaluate, and optimize machine learning models across supervised and unsupervised domains (e.g., classification, regression, clustering).

Experimentation & Hyperparameter Tuning: Perform systematic model comparisons, cross-validation, and hyperparameter optimization to improve predictive performance.

Model Validation & Metrics Analysis: Track experiment results using key metrics (precision, recall, F1-score, ROC-AUC, RMSE) and address issues like bias, variance, and overfitting.





Who You Are

Passionate: Deep interest in machine learning, statistical modeling, and data science (no specific computer science degree required).

Core Skills: Solid grasp of Python and standard data libraries (such as Pandas, NumPy, and Scikit-learn).

Foundational Knowledge: Familiar with core ML concepts, mathematical principles (linear algebra, calculus, probability), and algorithmic trade-offs.

Bonus Points: Hands-on experience with frameworks like PyTorch, TensorFlow, or XGBoost;

experience with SQL databases; or having built an end-to-end ML pipeline.

Mindset: Curious, driven, and comfortable asking questions.

What You Get

Remote & Flexible: Contribute from anywhere on a schedule that works for you.

Real Portfolio Projects: Leave with functional machine learning pipelines, trained models, and real-world predictions to show future employers—stepping beyond textbook datasets.

Direct Mentorship: Get honest code reviews, statistical feedback, and guidance from our core engineering team.

Proof of Impact: A certificate of completion and a solid letter of recommendation for active contributors.

How to Apply: Fill out the application form and join our WhatsApp community for the onboarding process before the 10th August deadline.

📌 Machine Learning Intern (India)
🏢 Nexal IIT
📍 India