Machine Learning Engineer

Role Overview

Nexal IIT’s open collaboration program gives aspiring ML engineers hands-on experience on real-world predictive modeling challenges. Build a practical portfolio alongside our core team on a flexible schedule.

Responsibilities

• Data Engineering: Clean and transform structured/unstructured datasets for feature extraction.
• Model Building: Train, evaluate, and tune supervised/unsupervised algorithms (classification, regression, clustering).
• Optimization: Conduct cross-validation, hyperparameter tuning, and metric analysis (F1, ROC-AUC, RMSE) to fix overfitting and bias.

Requirements

• Proficient in Python and core libraries (Pandas, NumPy, Scikit-learn).
• Grounded in foundational math (linear algebra, probability) and ML concepts.
• Bonus: Experience with PyTorch, TensorFlow, XGBoost, SQL, or end-to-end pipelines.

Skills

• Python
• Scikit-learn
• PyTorch
• TensorFlow
• SQL

Benefits

• Flexible remote work + Stipend (Up to ₹10,000).
• Portfolio-ready projects, code reviews, direct mentorship, and a Certificate/LOR upon completion.