Remote - Machine Learning and Data Science Engineer

Key Responsibilities:Data Analysis: Collect, clean, and preprocess large datasets from various sources, ensuring data quality and integrity for machine learning models.Model Development: Design, build, and implement machine learning models (supervised, unsupervised, and reinforcement learning) to solve business problems.Feature Engineering: Develop and create features that improve the performance of machine learning models and support data-driven Evaluation: Use evaluation metrics to assess model performance and make improvements based on analysis and experimentation.Collaboration: Work closely with cross-functional teams such as software engineers, product managers, and business analysts to implement ML models into production systems.Statistical Analysis: Apply statistical methods to identify trends, patterns, and relationships in data to make data-driven recommendations.

Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.