ML Platform Engineer

• MLOps
• Machine Learning Platforms
• CI/CD Pipelines
• Model Deployment
• Cloud ML
• Containerization

The ML Platform Engineer role focuses on building and operating scalable MLOps platforms to support end-to-end machine learning workflows for digital marketing solutions. Responsibilities include managing model lifecycle processes, CI/CD pipelines, deployment and monitoring of ML models, ensuring governance and compliance, and collaborating with data science and engineering teams. The role requires strong expertise in cloud-based ML platforms, containerization, automation, and production-grade model reliability.