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Machine Learning Intern

Company:
AbsoluteHub

Location:
Remote

Duration:
Up to 6 months

Batch Start Date:
15th August

Application Deadline:
14th 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 aski

📌 Machine Learning Intern (India)
🏢 AbsoluteHub
📍 India