Machine Learning Engineer Expert | Remote

Work Snapshot Type: Hourly Contract Commitment: Flexible schedule; fully remote, self-directed hours | $90/hr What You'll Be Doing • Design and develop end-to-end machine learning solutions for complex, real-world prediction and modeling problems across tabular, text, image, and time-series datasets • Perform exploratory data analysis, feature engineering, and data preprocessing to define appropriate modeling approaches and evaluation strategies • Train, tune, and evaluate models using industry-standard frameworks and best practices, producing high-quality, reproducible reference solutions • Review and validate the technical quality of machine learning projects and deliverables, documenting methodologies, assumptions, and results clearly • Identify and execute systematic experimentation to improve model performance through iteration and rigorous evaluation What We're Looking For • Strong experience in end-to-end machine learning development, including data preparation, model training, validation, and evaluation • Strong experience in Python and modern frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow • Strong experience in one or more specialized domains: tabular learning, NLP, computer vision, recommendation or ranking systems, or time-series forecasting • Strong experience in model evaluation metrics, validation methodologies, and experimental design • Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Statistics, Mathematics, or a related field from a top-tier institution How To Apply • Upload resume • Interview • Submit form