Machine Learning Engineer

Collect and manage data by analyzing business results, setting up new studies, and building automated tools for collection. Transform raw datasets into appropriate formats, verify data quality through cleaning, and search large sets for actionable information. Design and frame Machine Learning systems, select algorithms and training data, and develop models to meet business objectives. Conduct experiments, tune hyperparameters, and perform statistical analysis to fine-tune testing results. Solve difficult problems using ML-based algorithms while creating reports and presentations for business use.