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Senior Manager, Machine Learning Engineering
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Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Job ID: 152050791
Skills:
Machine Learning, Continuous Delivery, Version Control, Code Review, Tensorflow, Data Quality, Continuous Integration, Pytorch, Keras, Model Productionization, Model Deployment, Model Performance Evaluation
Skills:
bedrock , Cloud Security, Cloudformation, Cloud Architecture, CDK, Datadog, Cloudwatch, Terraform, Dynatrace, AWS, AgentCore, Policy-as-code frameworks, AWS Cost Explorer, IAM governance models, SageMaker, FinOps strategy, Zero Trust principles, Network segmentation strategy, X-Ray, AWS Budgets
Skills:
Issue Management, Product Owner, Data Management, Data Quality, Data Governance, Data Transformation, stewardship models, governance frameworks, Program Management, KPIs, Data Quality frameworks, Data Product Management, regulatory risk compliance, remediation processes, Agile delivery practices
Skills:
Machine Learning, Finance Domain Fluency, Ai, Process Re-engineering, Structured Thinking, Adoption and Continuous Improvement
Skills:
Data Security, Incident Response, Security and Audit Rules, Root Cause Analysis, Configuration Maintenance, Troubleshooting
