
AI Model Lifecycle Expert
3 days ago
About the Role
We are seeking an experienced Cloud AI Model Lifecycle Engineer to join our team. The ideal candidate will have a strong background in cloud-based machine learning, experience with automation tools, and excellent problem-solving skills.
Key Responsibilities- Design, implement, and manage the lifecycle of cloud-based AI models, ensuring seamless integration with DevOps pipelines.
- Analyze and optimize model performance, identifying areas for improvement and implementing data-driven solutions.
- Develop and maintain automated workflows for model deployment, scaling, and monitoring, leveraging technologies like Geneva Actions.
- Collaborate with cross-functional teams to design and implement secure, scalable, and high-performing cloud-based AI architectures.
- Ensure compliance with regulatory requirements, such as security patch management and quota monitoring in regulated environments.
- Strong proficiency in C# and .NET for automation and service development.
- Hands-on experience with Geneva Actions for resource lifecycle automation.
- Experience with Azure Data Explorer and Kusto Query Language (KQL) for monitoring and analytics.
- Familiarity with Azure DevOps for CI/CD pipeline implementation.
- Comfortable with Visual Studio Code or similar development environments.
- Solid understanding of model lifecycle, scaling, and quota management in cloud environments.
- Experience in security patch management in regulated or government cloud environments.
- Experience with AI/ML model deployment and inference workloads.
- Experience working with large-scale cloud platforms such as Azure.
- Mid-Senior level
- Full-time
- Engineering and Information Technology
- IT Services and IT Consulting
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