Machine Learning Engineer

Role: Machine Learning Engineer - Fraud Detection Role Summar yWe are looking for a Machine Learning Engineer to build and support production-grade fraud detection solutions. The role focuses on real-time inference, feature engineering, APIs, graph-based fraud detection, and production deployment support Key Skill sMachine Learning Engineering and Real-Time Inferenc ePython, APIs, and Microservice sGCP and Databrick sNeo4j / Graph Databases and Feature Store sData Pipelines and Feature Engineerin gMLOps, Monitoring, and Production Suppor tAgentic AI Architecture (good to have Responsibilitie sBuild and deploy fraud detection services for production use .Develop low-latency inference solutions with a target of less than 250 ms .Design feature engineering pipelines for ML use cases .Integrate ML models with REST APIs and microservices .Support graph-based fraud detection using Neo4j .Improve scoring performance, reliability, and scalability .Work with MLOps teams for releases, monitoring, and production support .Support data quality, governance, and operational activities Required Qualification sHands-on experience in Python and ML model deployment .Experience with APIs, microservices, and production ML systems .Knowledge of data pipelines, data engineering, and feature stores .Exposure to GCP, Databricks, Data Lake, or Data Warehouse platforms #J-18808-Ljbffr