Track Lead - PaaS Azure, Azure IaaS, Azure DevOps

Job Summary

The Track Lead for Support & Operations plays a pivotal role in driving operational excellence within the organization. This position focuses on managing and enhancing service delivery through innovative solutions, effective team leadership, and a commitment to meeting client SLAs. The Track Lead will empower teams, foster continuous improvement, and ensure alignment with organizational goals.

AI System Administrator Rolernrn Artificial intelligence (AI) is rapidly transforming the business landscape. From automating mundane tasks to power-ing data-driven insights, AI promises increased efficiency, improved decision-making and a competitive edge. How-ever, simply implementing AI tools isn’t enough. To realize the full potential of these technologies, organizations need a dedicated role focused on managing, optimizing and governing their AI deployments: the AI Administrator. This emerging role is quickly becoming essential for businesses of all sizes.rnrn We are seeking a dedicated AI System Administrator to manage and optimize our company’s AI systems and plat-forms. rn Your responsibilities will include maintaining the health of our AI systems, resolving technical issues, and ensuring the systems are secure and up-to-date. The ideal candidate is a tech-savvy professional with an in-depth under-standing of AI technologies and system administration. The ability to learn quickly and adapt to new technologies is essential.rnrn Ultimately, the AI System Administrator should enhance our AI infrastructure and contribute to building high-quality AI applications that align with our business needs.rnrnrn Technical Skills:rnrn Cloud Computing: Proficiency in cloud platforms: Azure, Tool: Foundry, Open AI, PaaS Services, IaaS rnrn Service Now Tools: Experience with Service Now tools for Managing Service request and Incidentsrnrn Key responsibilities:rn• Model Monitoring & Management: Continuously monitoring model performance, identifying drift, and trigger-ing retraining or recalibration processes. rnrn• Infrastructure Management: Maintaining and scaling the infrastructure required to support AI workloads, in-cluding cloud resources, servers and storage.rnrn• Cost Optimization: Monitor resource utilization, identify inefficiencies and optimize costs associated with AI infrastructure and operations.rnrn• Security & Compliance: Implementing and enforcing data security policies and ensuring compliance with relevant regulations.rnrn• Bias Detection & Mitigation: Analyzing models for bias and implementing techniques to mitigate it. Working with data science teams to ensure fairness and equity.rnrn• Access Control & Permissions: Managing access to AI models, data, and infrastructure.rnrn• Documentation & Reporting: Maintaining comprehensive documentation of AI models, and infrastructure. Generating reports on model performance, data quality and security.rnrn• Collaboration with Data Science: Working closely with data scientists to deploy, monitor and improve mod-els. Providing feedback on model performance and data quality.rnrn• Vendor Management: Evaluating and managing relationships with AI technology vendors.

Key Responsibilities

1. 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.
2. Collaborate With Clients To Gather Requirements And Ensure The Support Team Consistently Meets Expectations, Utilizing Azure Kubernetes For Efficient Resource Management And Service Delivery.
3. 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.
4. Drive Innovation By Identifying And Implementing New Process Improvements And Operational Strategies That Enhance Overall Organizational Efficiency And Effectiveness.
5. Provide Tailored Solutions Based On Customer Needs Within The Azure Environment, Ensuring That Outcomes Align With Business Objectives And Contribute To Measurable Success.

Skill Requirements

AI System Administrator with Proficiency in cloud platforms: Azure, Tool: Foundry, Open AI, PaaS Services, IaaS & Service Now Tools: Experience with Service Now tools for Managing Service request and Incidents

Other Requirements

AI System Administrator with Proficiency in cloud platforms: Azure, Tool: Foundry, Open AI, PaaS Services, IaaS & Service Now Tools: Experience with Service Now tools for Managing Service request and Incidents