Automated Multi-Cloud Infrastructure for AI/ML Workloads

High Priority
Cloud & DevOps
Artificial Intelligence
👁️9458 views
💬565 quotes
$15k - $50k
Timeline: 8-12 weeks

Our scale-up company in the Artificial Intelligence & Machine Learning industry is seeking an experienced Cloud & DevOps professional to develop an automated, multi-cloud infrastructure for deploying and managing AI/ML workloads. With a keen focus on using GitOps and Infrastructure as Code, the project aims to enhance operational efficiency, ensure high availability, and improve security across our cloud environment.

📋Project Details

As a rapidly growing company in the Artificial Intelligence & Machine Learning sector, we are experiencing increased demand for our services, necessitating a robust, scalable, and secure cloud infrastructure. We seek a Cloud & DevOps expert to design and implement an automated multi-cloud environment. The project will leverage Kubernetes for container orchestration, Terraform for infrastructure as code, and Jenkins for continuous integration. Key responsibilities include setting up monitoring and observability with Prometheus and Grafana, ensuring security automation is in place, and deploying ArgoCD for GitOps workflows. The infrastructure must support high-availability AI/ML workloads seamlessly across multiple cloud providers, optimizing cost and performance. The ideal candidate will have demonstrated experience in multi-cloud strategies and a deep understanding of cloud-native technologies.

Requirements

  • Proven experience with multi-cloud environments
  • Expertise in Kubernetes and container orchestration
  • Strong knowledge of Infrastructure as Code, especially Terraform
  • Experience with GitOps and CI/CD pipelines
  • Proficiency in setting up observability tools like Prometheus and Grafana

🛠️Skills Required

Kubernetes
Terraform
Docker
Prometheus
Grafana

📊Business Analysis

🎯Target Audience

Tech-savvy enterprise customers needing robust AI/ML solutions with scalable and secure cloud infrastructure

⚠️Problem Statement

Our current cloud infrastructure cannot efficiently handle the growing demand for our AI/ML solutions, leading to potential scalability and security issues.

💰Payment Readiness

Enterprises are actively seeking scalable and secure AI/ML solutions, driven by the need to stay competitive and comply with emerging data security regulations.

🚨Consequences

Failure to upgrade our infrastructure could result in lost business opportunities, decreased client satisfaction, and potential data breaches.

🔍Market Alternatives

Current alternatives involve manual infrastructure management, leading to inefficiencies and increased risk of errors.

Unique Selling Proposition

Our solution offers an automated, multi-cloud approach ensuring high availability and security, setting us apart in the competitive AI/ML landscape.

📈Customer Acquisition Strategy

Our strategy includes targeted digital marketing campaigns and partnerships with leading cloud providers to reach potential enterprise customers.

Project Stats

Posted:July 21, 2025
Budget:$15,000 - $50,000
Timeline:8-12 weeks
Priority:High Priority
👁️Views:9458
💬Quotes:565

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