Azure AI

About The Job:

• Exp: 8.5-12 years
• 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 Role in artificial intelligence (AI) is rapidly transforming the business landscape. From automating mundane tasks to powering data-driven insights, AI promises increased efficiency, improved decision-making and a competitive edge. However, 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.
• We are seeking a dedicated AI System Administrator to manage and optimize our company’s AI systems and platforms.
• 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 understanding of AI technologies and system administration. The ability to learn quickly and adapt to new technologies is essential.
• Ultimately, the AI System Administrator should enhance our AI infrastructure and contribute to building high-quality AI applications that align with our business needs.

Essential Job Functions:

• Model Monitoring & Management: Continuously monitoring model performance, identifying drift, and triggering retraining or recalibration processes.
• Infrastructure Management: Maintaining and scaling the infrastructure required to support AI workloads, including cloud resources, servers and storage.
• Cost Optimization: Monitor resource utilization, identify inefficiencies and optimize costs associated with AI infrastructure and operations.
• Security & Compliance: Implementing and enforcing data security policies and ensuring compliance with relevant regulations.
• Bias Detection & Mitigation: Analyzing models for bias and implementing techniques to mitigate it. Working with data science teams to ensure fairness and equity.
• Access Control & Permissions: Managing access to AI models, data, and infrastructure.
• Documentation & Reporting: Maintaining comprehensive documentation of AI models, and infrastructure. Generating reports on model performance, data quality and security.
• Collaboration with Data Science: Working closely with data scientists to deploy, monitor and improve models. Providing feedback on model performance and data quality.
• Vendor Management: Evaluating and managing relationships with AI technology vendors.

Additional 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.

Qualifications:
Skill Requirements

• 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

Technical Skills:

• Cloud Computing: 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

Other Requirements

• 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