ML Engineer

Required

• 1+ year of hands-on Python development experience, including experience with pandas, NumPy, scikit-learn, and Jupyter
• Strong foundation in statistics, probability, and linear algebra, plus exploratory data analysis skills
• Understanding of supervised and unsupervised learning, and practical experience with regression, classification, clustering, dimensionality reduction, and anomaly detection
• Experience preparing structured datasets, including cleaning, transformation, encoding, scaling, and missing-value handling, plus practical feature engineering and feature-selection skills
• Understanding of train/validation/test splits, cross-validation, data leakage, overfitting, and regularization
• Ability to select appropriate evaluation metrics, compare models, and perform error analysis
• Familiarity with hyperparameter tuning and reproducible ML pipelines
• SQL skills for data extraction and analysis
• Ability to expose models through REST APIs or batch-processing workflows