Jobs → Engineering → Machine Learning Engineer

About the Role We are looking for an experienced Machine Learning Engineer to build scalable data pipelines, develop production-ready ML models, and implement robust feature management and model-serving solutions. Key Responsibilities • Build batch and real-time data pipelines using Spark/PySpark and Kafka • Develop feature pipelines and feature stores with point-in-time correctness, versioning, and backfills • Train, evaluate, and deploy ML models for anomaly detection and insider-risk scoring • Implement batch and real-time model inference • Manage MLOps, CI/CD, model versioning, monitoring, retraining, and rollback • Build explainable ML solutions with traceable evidence and feature contributions Requirements • Python, PySpark/Spark, and Kafka • Production ML model training and deployment • Feature stores, feature engineering, and point-in-time joins • MLOps, model registry, monitoring, and CI/CD • Strong SQL and data modeling • Iceberg/Hive tables with Athena or Databricks