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About the role
As the Track Lead for Support & Operations, you will play a crucial role in driving operational excellence within the organization. Your main focus will be on managing and enhancing service delivery through innovative solutions, effective team leadership, and a commitment to meeting client SLAs. You will empower teams, foster continuous improvement, and ensure alignment with organizational goals. Key Responsibilities: - Optimize operational systems using Windows Azure PaaS and Azure IaaS to enhance reporting, streamline information flow, and improve business processes, ensuring alignment with organizational planning. - Collaborate with clients to gather requirements and ensure the support team consistently meets expectations, utilizing Azure Kubernetes for efficient resource management and service delivery. - Lead and mentor project teams, facilitating transparent communication of project goals and expectations while leveraging Infrastructure as Code (IaC) tools like Terraform for deployment automation and consistency. - Drive innovation by identifying and implementing new process improvements and operational strategies that enhance overall organizational efficiency and effectiveness. - Provide tailored solutions based on customer needs within the Azure environment, ensuring that outcomes align with business objectives and contribute to measurable success. Qualification Required: - AI System Administrator with proficiency in cloud platforms: Azure, Tool: Foundry, Open AI, PaaS Services, IaaS & Service Now Tools: Experience with ServiceNow tools for Managing Service request and Incidents. In this role, you will be responsible for continuously monitoring model performance, identifying drift, and triggering retraining or recalibration processes. You will also maintain and scale the infrastructure required to support AI workloads, including cloud resources, servers, and storage. Additionally, you will monitor resource utilization, identify inefficiencies, and optimize costs associated with AI infrastructure and operations. Implementing and enforcing data security policies, ensuring compliance with relevant regulations, analyzing models for bias, and implementing techniques to mitigate it will also be part of your responsibilities. Managing access to AI models, data, and infrastructure, maintaining comprehensive documentation of AI models and infrastructure, collaborating closely with data scientists, providing feedback on model performance and data quality, and evaluating and managing relationships with AI technology vendors are also key responsibilities in this role. As the Track Lead for Support & Operations, you will play a crucial role in driving operational excellence within the organization. Your main focus will be on managing and enhancing service delivery through innovative solutions, effective team leadership, and a commitment to meeting client SLAs. You will empower teams, foster continuous improvement, and ensure alignment with organizational goals. Key Responsibilities: - Optimize operational systems using Windows Azure PaaS and Azure IaaS to enhance reporting, streamline information flow, and improve business processes, ensuring alignment with organizational planning. - Collaborate with clients to gather requirements and ensure the support team consistently meets expectations, utilizing Azure Kubernetes for efficient resource management and service delivery. - Lead and mentor project teams, facilitating transparent communication of project goals and expectations while leveraging Infrastructure as Code (IaC) tools like Terraform for deployment automation and consistency. - Drive innovation by identifying and implementing new process improvements and operational strategies that enhance overall organizational efficiency and effectiveness. - Provide tailored solutions based on customer needs within the Azure environment, ensuring that outcomes align with business objectives and contribute to measurable success. Qualification Required: - AI System Administrator with proficiency in cloud platforms: Azure, Tool: Foundry, Open AI, PaaS Services, IaaS & Service Now Tools: Experience with ServiceNow tools for Managing Service request and Incidents. In this role, you will be responsible for continuously monitoring model performance, identifying drift, and triggering retraining or recalibration processes. You will also maintain and scale the infrastructure required to support AI workloads, including cloud resources, servers, and storage. Additionally, you will monitor resource utilization, identify inefficiencies, and optimize costs associated with AI infrastructure and operations. Implementing and enforcing data security policies, ensuring compliance with relevant regulations, analyzing models for bias, and implementing techniques to mitigate it will also be part of your responsibilities. Managing access to AI models, data, and infrastructure, maintaining comprehensive documentation of A
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