Senior MLOps Engineer

Job Summary

A company is looking for a Senior MLOps Engineer - Anti-Fraud & Compliance Platform.

Key Responsibilities

• Develop and implement a comprehensive MLOps strategy for integrating machine learning models
• Design, implement, and maintain scalable MLOps pipelines for data ingestion, training, evaluation, deployment, and monitoring
• Collaborate with cross-functional teams to manage scalable infrastructure for machine learning workloads

Required Qualifications

• 5+ years of professional experience in MLOps or a related field
• Experience deploying and managing machine learning models in production environments
• Strong knowledge of cloud platforms: AWS, GCP, or Azure
• Experience with ML pipeline orchestration tools (e.g., Kubeflow, MLflow, Airflow)
• Strong programming skills in Python