Machine Learning Intern

Role Overview

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.

Responsibilities

• 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.
• Experimentation & Hyperparameter Tuning: Perform systematic model comparisons, cross-validation, and hyperparameter optimization.
• Model Validation & Metrics Analysis: Track experiment results using key metrics and address issues like bias, variance, and overfitting.

Requirements

• Deep interest in machine learning, statistical modeling, and data science.
• Solid grasp of Python and standard data libraries.
• Familiarity with core ML concepts, mathematical principles (linear algebra, calculus, probability), and algorithmic trade-offs.
• Curious, driven, and comfortable asking questions.

Skills

• Python
• Pandas
• NumPy
• Scikit-learn
• PyTorch

Benefits

• Remote & Flexible work schedule.
• Real Portfolio Projects involving functional machine learning pipelines.
• Direct Mentorship including code reviews and statistical feedback.
• Certificate of completion and a strong letter of recommendation.