Position: Machine Learning Engineer Location: Orlando, FL || San Francisco, CA || Seattle, WA ||New York City, NY (Onsite) Duration: 12 Months Contract Skills: Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Job Responsibilities: • Design and implement robust anomaly detection algorithms using statistical, machine learning, and deep learning techniques. • Develop scalable data pipelines to process and analyze large volumes of streaming and batch data. • Collaborate with cross-functional teams (engineering, data science, product) to define problem statements, gather requirements, and deliver ML solutions. • Perform exploratory data analysis (EDA) and feature engineering tailored for anomaly detection. • Train, evaluate, and optimize models to maximize detection accuracy and minimize false positives/negatives. • Monitor model performance and update models as needed in production environments. • Write clean, maintainable, and well-documented code following best practices. • Stay up-to-date with the latest research and technologies in anomaly detection and machine learning. • Assist in developing dashboards and tools for anomaly visualization and alerting. Required Qualifications: • Bachelor’s or master’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.