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.