Machine Learning Intern

Company: AbsoluteHub

Location: Remote

Duration: Up to 6 months

Batch Start Date: 10th 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 about machine learning, statistical modeling, and data science (no specific computer science degree required).

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

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

Bonus points: If you have hands-on experience with frameworks like PyTorch or TensorFlow, XGBoost, SQL databases, or have built an end-to-end ML pipeline before.

Curious, driven, and comfortable asking questions.

What You Get

Remote & Adaptable: 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 strong letter of recommendation for active contributors.

Application Deadline: 10th August. Fill the form and join our WhatsApp community for the joining process.

📌 Machine Learning Intern (India)
🏢 AbsoluteHub
📍 India