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Machine Learning Intern
Company: AbsoluteHub
Location: Remote
Duration: Up to 6 months
Batch Start Date: 15th August
Application Deadline: 15th August
About the Program
At AbsoluteHub, 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
R

📌 Machine Learning Intern (India)
🏢 AbsoluteHub
📍 India