17 Aug
|
PepsiCo
|
Hyderabad
Overview
We are seeking an experienced Cloud Delivery engineer to work horizontally across our organization, collaborating with Cloud Engineering, Cloud Operations, and cross-platform teams. This role is crucial in ensuring that cloud resources are delivered according to established standards, with a focus on both Azure and AWS platforms. The Cloud Delivery engineer will be responsible for delivery of Data and AI platforms.
Responsibilities
Seeking a talented AWS artificial intelligence specialist with following skills.
Provision the cloud resources, ensuring they adhere to approved architecture and organizational standards on both Azure and AWS.
Collaborate closely with Cloud Engineering, Cloud Operations, and cross-platform teams to ensure seamless delivery of cloud resources on both Azure and AWS.
Architecting, Designing, Developing and Implementing AI models and algorithms to address business challenges and improve processes.
Experience in implementing Security Principles and Guardrails to AI Infrastructure.
Identify and mitigate risks associated with cloud deployments and resource management in multi-cloud environments.
Collaborating with cross-functional teams of data scientists, software developers, and business stakeholders to understand requirements and translate them into AI solutions.
Create and maintain documentation for AI models, algorithms as Knowledge base article
Participate in capacity planning and cost optimization initiatives for multi-cloud resources.
Experience working with Vector DB (Datastax HCD)
Conduct experiments to test and compare the effectiveness of different AI approaches.
Troubleshooting and resolving issues related to AI systems.
Deploying AI solutions into production settings and ensuring their integration with existing systems.
Monitoring and evaluating the performance of AI systems, adjusting as necessary to improve outcomes
Research and stay updated on the latest AI and machine learning techno
📌 Cloud Delivery Engineer Hyderabad
🏢 PepsiCo
📍 Hyderabad