AI/ML Platform Engineer
Hareesh BUnited StatesSENIORPosted 10d ago
MLOpsLLMOpsCloud-native AI platformsFeature StoresScalable ML infrastructureCI/CD pipelinesREST APIsAzureAWSGCPResponsible AIModel governance
About the Role
We are seeking an AI/ML Platform Engineer to build enterprise-scale Machine Learning platforms supporting model development, deployment, monitoring, and governance.
Key Responsibilities
• Design enterprise AI/ML platforms and reusable ML pipelines
• Build scalable MLOps and LLMOps workflows
• Develop model training and deployment pipelines
• Implement Feature Stores and Model Registry
• Build CI/CD pipelines for ML applications
• Monitor model performance, drift, and data quality
• Develop REST APIs for model serving
• Deploy workloads on Azure, AWS, or GCP
• Implement Responsible AI and model governance
• Collaborate with Data Science and DevOps teams
Requirements
• Strong expertise in MLOps, LLMOps, cloud-native AI platforms
• Experience with Feature Stores and scalable ML infrastructure
• Knowledge of CI/CD pipelines for ML applications
• Ability to develop REST APIs for model serving
• Familiarity with Azure, AWS, or GCP
• Understanding of Responsible AI and model governance principles