Jobs → Engineering → ML Engineer

About the Role We are looking for an experienced Machine Learning Engineer with strong expertise in production ML pipelines, Spark, Kafka, anomaly detection, and MLOps for our client, Persistent Systems. Key Responsibilities • Build feature pipelines using EMR Serverless Spark and event streaming • Develop versioned and point-in-time-correct behavioral features • Manage feature definitions, registries, backfills, freshness, and drift monitoring • Train and evaluate models for insider-risk scoring and anomaly detection • Deploy ML models for batch and real-time inference • Implement LLM-based enrichment and model serving • Ensure model explainability through feature contributions and evidence links • Manage model retraining, versioning, monitoring, A/B testing, and rollbacks • Collaborate with Data Engineering and Analytics teams Requirements • 10+ Years of Overall IT Experience – Mandatory • Strong Production-Level Spark/PySpark and Kafka Experience • Hands-on ML Model Development and Deployment Experience • Strong MLOps and Feature Engineering Background • 100% Onsite – Mountain View, CA • Green Card Candidates Not Eligible