[Remote] Remote | Applied Machine Learning Evaluation Consultant — Up to $100/hour

Note The job is a remote job and is open to candidates in USA. 24-MAG LLC is offering a specialized part-time consulting opportunity for experienced Machine Learning Engineers and Applied ML Researchers. The role involves developing end-to-end machine learning solutions, conducting dataset analysis, and providing technical evaluation and documentation for complex machine learning challenges. Responsibilities Develop complete machine learning solutions for challenging prediction and modeling problems Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics Perform exploratory data analysis, feature engineering, data preprocessing, model training, tuning, and evaluation Work across tabular, text, image, time-series, recommendation, ranking, or other applied ML problem types Develop strong reference solutions using industry-standard machine learning techniques and best practices Document methodologies, assumptions, modeling choices, validation approaches, and evaluation results clearly Ensure solutions are accurate, reproducible, and technically well-structured Identify opportunities to improve model performance through systematic experimentation and iteration Review and validate the technical quality of machine learning projects and deliverables Evaluate modeling choices, data preparation decisions, performance metrics, and experimental design Identify weak assumptions, data leakage risks, flawed validation, underdeveloped features, or unsupported modeling conclusions Provide clear written technical feedback that improves correctness, rigor, and reproducibility Skills Master's degree, PhD, or equivalent advanced experience in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field 2+ years of hands-on experience developing, training, evaluating, and optimizing machine learning models in a professional or research setting Strong proficiency in Python and modern machine learning frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation Strong understanding of model evaluation metrics, validation methodologies, and experimental design Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs PhD from a leading research university Experience at leading technology companies, AI-focused teams, research institutions, or high-growth startups Participation in competitive machine learning or data science competitions Experience optimizing models against performance-based evaluation metrics Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning Publications, patents, or significant open-source contributions in machine learning or AI Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners Benefits Fully remote with flexible scheduling Weekly payments via Stripe or Wise Company Overview At 24-MAG, we support emerging AI and consulting platforms by sourcing and connecting qualified professionals with remote, contract-based opportunities. It was founded in undefined, and is headquartered in Sheridan, Wyoming, US, with a workforce of 2-10 employees. Its website is https//24-mag.com/.