Overview
Hybrid
Depends on Experience
Full Time
Skills
ML
Job Details
Role: ML Engineer Location: Santa Clara, CA, Seattle, WA, Tampa, FL, NYC,NY (hybrid) Full Time and Contract W2
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.
Required Qualifications:
Bachelor s or master s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
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