ML Engineer

ML Engineer Location: CA, WA, FL, NY (Disney Hubs) – Onsite Orlando, Florida San Francisco, California Seattle, Washington New York, New York Skills: Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Key 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. Software Technology Inc