Machine Learning Intern

Company : Nexal II

**T

Locatio** n: Remo

**te

Durati** on: Up to 6 mon

**ths

Batch Start D** ate: 10th Au

**gust

About the Pr**

ogram

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 Yo**

- **u’ll Do

Data Engineering &

• Feature Ext** raction: Preprocess, clean, and transform messy structured and unstructured datasets to extract meaningful features for m
- odeling.Train & • Tune Alg orithms: Build, evaluate, and optimize machine learning models across supervised and unsupervised domains (e.g., classification, regression, clus
- tering).Experimentation & • Hyperparameter

Tuning: Perform systematic model comparisons, cross-validation, and hyperparameter optimization to improve predictive perf
- ormance.Model Validation & • Metrics A

nalysis: Track experiment results using key metrics (precision, recall, F1-score, ROC-AUC, RMSE) and address issues like bias, variance, and over





fitting.Who

- You Are

Passionate about machine learning, statistical modeling, and data science (no specific computer science degree r

- equired).Solid grasp of Python and standard data libraries (such as Pandas, NumPy, and Sciki
- t-learn).Familiar with foundational ML concepts, mathematical principles (linear algebra, calculus, probability), and core algorithmic tr
- ade-offs.Bonu s points: If you have hands-on experience with frameworks like PyTorch or TensorFlow, XGBoost, SQL databases, or have built an end-to-end ML pipelin
- e before.Curious, driven, and comfortable asking q

uestions.Wha

- **t You Get Remote &** Versatile: Contribute from anywhere, on a schedule that work
- s 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 M entorship: Get honest code reviews, statistical feedback, and guidance from our core enginee
- ring team.Proof of Impact: A certificate of completion and a strong letter of recommendation for active con

tributors.Application Deadline: 09th August.

Fill the form and join our WhatsApp community for the joinin g process.

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