Jobs/AI Infrastructure Specialist
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AI Infrastructure Specialist

EdgeQ Technologies Private Limited Verified
Regional Notice: This position is listed for Remote (United States). Looking for verified Remote Software Engineering jobs hiring in India?
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True In-Hand SalaryStated CTC: USD 95,000 - 155,000 / year
Real Take-Home: ₹3,32,79,47,617/moin bank

(Calculated after EPF (12%), Gratuity (4.81%), Professional Tax & New Tax Regime FY 2025-26 deductions)

Stipend / SalaryUSD 95,000 - 155,000 / year
Work ModeREMOTE
Experience2+ yrs
Posted5h ago
Verified Direct Role: Clicking "Apply on Official Site" opens EdgeQ Technologies Private Limited's official careers portal directly without middleman aggregators.
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Job Snapshot & Verified Telemetry
  • Target Role:AI Infrastructure Specialist
  • Employer:EdgeQ Technologies Private Limited
  • Work Mode:REMOTE
  • Location:Remote (United States)
  • Compensation:USD 95,000 - 155,000 / year
  • Experience:2+ Years
  • Recruiter SLA:7-Day Truth Teller Guarantee
  • Candidate Fee:₹0 (Zero Placement Fee Guarantee)
Required Competencies:DockerKubernetesAWSDevOps

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About the Role

Headquarters: United States AI Infrastructure Specialist Job Title: AI Infrastructure Specialist Location: United States (Remote) Work Mode: 100% Remote Experience: 2–6 Years Salary Range: $95,000 – $155,000 per year (USD) Employment Type: Full-Time Job Category: Artificial Intelligence / Cloud Infrastructure / DevOps Job Summary We are seeking a skilled and experienced AI Infrastructure Specialist to join our growing technology team in the United States. The ideal candidate will be responsible for designing, building, deploying, and maintaining scalable infrastructure to support AI and machine learning workloads. The candidate should have strong knowledge of cloud infrastructure, GPU computing, containerization, Kubernetes, MLOps, and AI model deployment. This role involves optimizing infrastructure performance, ensuring scalability, and supporting reliable AI-powered applications. This position offers a fully remote work opportunity for qualified candidates across the United States. Key Responsibilities Design, deploy, and maintain scalable infrastructure for AI and machine learning applications. Manage cloud-based AI infrastructure across AWS, Microsoft Azure, or Google Cloud. Configure and optimize GPU-based computing environments for AI workloads. Implement and maintain Kubernetes clusters and Docker containers. Support AI model training, deployment, and inference environments. Build and maintain MLOps pipelines for continuous integration and deployment. Monitor infrastructure performance, availability, scalability, and resource utilization. Optimize GPU, CPU, memory, and storage resources for AI workloads. Implement infrastructure automation using Terraform, Ansible, or similar tools. Collaborate with AI engineers, ML engineers, and DevOps teams. Implement infrastructure security, access controls, and monitoring solutions. Troubleshoot infrastructure issues and ensure system reliability. Maintain technical documentation and infrast

Requirements & Qualifications

  • Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

  • Official mentor support
  • verified hiring timeline
  • and career progression.
Required Tech Stack4 Skills

The employer seeks candidates proficient in the following core technologies:

DockerKubernetesAWSDevOps
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• Verified Submissions: 0 / 5• 7-Day Ghosting SLA Active• Direct ATS Verified
Expected Assessment Topics:Crowdsourced
LeetCode Medium (Graph Traversal, Matrix Math, Optimizations)Vector Search Pipeline & Batch Inference Architecture

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Verified Direct Application Link

Official position sourced directly from EdgeQ Technologies Private Limited's verified career portal.

Application SourceOfficial EXTERNAL Portal
Company VerificationVerified Employer
Middleman TrapsNone (Direct Employer ATS)
Candidate Fees₹0 (Zero Placement Fee Guarantee)
Dashboard Tracking1-Click Submission & Reminders
Truth Teller Candidate Tracking

Apply directly on EdgeQ Technologies Private Limited's portal using the link above. Use "Track with Truth Teller" to log your submission timestamp and automated 7-day follow-up countdown in your dashboard.

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How do I apply for AI Infrastructure Specialist at EdgeQ Technologies Private Limited?▼

Click "Apply on Official Site" on this page to be routed directly to EdgeQ Technologies Private Limited's official applicant tracking system (EXTERNAL). RoleNest connects you directly with ₹0 candidate fees and activates automated 7-day follow-up telemetry in your dashboard.

What is the compensation or stipend for this role?▼

The verified package for this role is USD 95,000 - 155,000 / year (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.

Who is eligible to apply for this opening?▼

Engineers with 2+ years of experience proficient in Docker, Kubernetes, AWS, DevOps are encouraged to apply.

How does RoleNest Truth Teller protect applicants from ghosting?▼

Truth Teller tracks candidate application timestamps and recruiter response telemetry. If EdgeQ Technologies Private Limited does not update your application status within 7 business days, RoleNest provides polite, ATS-tailored follow-up email templates and highlights active matching roles to keep your momentum high.

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EdgeQ Technologies Private Limited
AI Infrastructure Specialist
EdgeQ Technologies Private Limited•USD 95,000 - 155,000 / year