Join as an AWS Machine Learning Engineering Lead to shape AI projects within an enterprise data platform. Focus on building robust ML infrastructures and governance practices in a full time role.
Our client is expanding its AWS-powered capabilities and needs a Senior Machine Learning Engineer. This position focuses on constructing the foundational components and deployment frameworks for enterprise analytics. You will also guide a team to ensure data systems are secure, scalable, and governance-compliant while integrating various ML services.
Key Responsibilities:
• Create scalable data and ML infrastructure components
• Oversee feature engineering frameworks and feature stores
• Define deployment patterns for ML workloads
• Ensure compliance with multi-account governance
• Lead and mentor a team of engineers in ML practices
Requirements:
• Educational background in relevant fields like Computer Science
• Significant experience in Machine Learning and cloud environments
• Proficiency in Python and various ML frameworks
• Familiarity with AWS services like SageMaker
• Understanding model governance and AI best practices
Harness your leadership and technical skills to enhance enterprise ML capabilities and governance.
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