AI Infrastructure Architecture

Your trusted digital partner for tailored IT solutions with expertise in web & app dev, e-comm, digital marketing, branding, & web security. We enable your overall success on every online platform & a complete digital transformation. At Ekfrazo, we acknowledge the minutest of details that go into every work that we do. To accomplish this, we take all the responsibilities of delivering a perfected work on time which includes Software & Product Development, Web & Mobile Apps, Branding, Digital Marketing, IT Consulting, Recruitment & Staffing. Our areas of expertise include delivering the best possible work based on the ideas and the requirements that you have with a blend of our creativity and skills, be it in any domain.

The Role

You will be responsible for :

Key Activities & Responsibilities

• Develop a scalable AI infrastructure strategy aligned with enterprise-wide digital transformation goals, ensuring a high-performance and secure foundation for AI workloads
• Architect AI infrastructure solutions across cloud and on-prem environments, optimizing flexibility, performance, and security to meet evolving business needs
• Implement and oversee infrastructure for AI model training, inferencing, and execution frameworks that enhance processing efficiency and overall model performance
• Design and implement AI infrastructure solutions that scale seamlessly to accommodate enterprise-wide AI adoption, support business growth, ensure high availability, and incorporate future advancements in AI and cloud computing
• Establish AI infrastructure security SOPs, access control mechanisms, and compliance frameworks to mitigate risks and ensure data protection
• Design and implement automated MLOps pipelines that streamline AI model deployment, monitoring, retraining, and governance for efficient AI operations
• Deploy Infrastructure as Code (IaC) solutions using Terraform, Ansible, or equivalent tools to automate AI infrastructure provisioning and scaling
• Optimize high-performance computing environments, ensuring efficient utilization of GPU, CPU, and storage resources for AI and ML workloads
• Manage AI workload orchestration using Kubernetes and containerization technologies to enhance scalability and performance across distributed AI environments
• Enhance AI data storage and processing capabilities by optimizing pipelines, retrieval mechanisms, and data engineering strategies for real-time analytics
• Work closely with IT and Software COE teams to integrate AI infrastructure seamlessly with enterprise systems and applications
• Develop AI infrastructure cost optimization strategies, balancing performance, scalability, and budget constraints to maximize ROI
• Deploy real-time AI infrastructure monitoring tools to continuously track system health, identify performance bottlenecks, detect potential anomalies, and implement proactive optimization measures to enhance system reliability and efficiency
• Implement AI governance and model version control policies, ensuring regulatory compliance, model integrity, security, ethical AI practices, and proactive risk mitigation
• Stay ahead of AI infrastructure innovations, emerging cloud technologies, and industry best practices to enhance enterprise AI capabilities

Ideal Profile

Skills and Experience

Education :

Experience :

Skills :

What's on Offer?