Senior Machine Learning Engineer / Data Scientist - Remote

Overview

We are looking for an experienced, permanent/full-time Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will develop and deploy machine learning models for anomaly detection, processing both structured data and unstructured marketing content to identify suspicious behavior patterns and anomalous activities.

In Short

• Design and implement ML-based anomaly detection algorithms.
• Process and analyze unstructured marketing data from social media advertising platforms.
• Develop NLP pipelines for analyzing ad content and detecting deceptive marketing claims.
• Create and refine detection algorithms that combine multiple data signals.
• Implement feature engineering processes for time-series and behavioral data.
• Establish model monitoring and performance tracking systems.
• Collaborate with Business Analyst on rule-based detection criteria.
• Implement feedback loops for continuous model improvement.

Requirements

• Master's degree in Data Science, Statistics, Machine Learning, or related field.
• 4+ years of experience in machine learning and data science.
• Expert proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Strong background in anomaly detection and time-series analysis.
• Experience with NLP and text processing techniques.
• Knowledge of feature engineering and model deployment best practices.
• Experience with AWS ML services (SageMaker, Comprehend).
• Understanding of model governance and MLOps practices.
• US Citizenship or Permanent Residency required.
• Must reside in the Continental US.

Benefits

• Make an impact that resonates-join our vibrant team and discover how you can improve lives through digital transformation.
• Work with a talented team that brings unparalleled energy engagement.
• Be a part of a team that shapes a better future.