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AI/ML Infrastructure Engineer

Oracle

Software and Technology Jobs

AI/ML Infrastructure Engineer

full-timePosted: Dec 11, 2025

Job Description

Overview

Oracle is seeking an AI/ML Infrastructure Engineer to design, build, and support the systems, tools, and cloud services that power large-scale machine learning and agent-based workflows. You will play a critical role in enabling Oracle's AI initiatives by optimizing infrastructure for high-performance ML training, inference, and deployment at scale. Join our innovative team to drive the future of AI on Oracle Cloud Infrastructure (OCI).

Responsibilities

  • Design and implement scalable AI/ML infrastructure on OCI, including GPU clusters and distributed training systems.
  • Build and maintain tools for ML workflow orchestration, model serving, and monitoring.
  • Optimize cloud services for cost-efficiency, performance, and reliability in large-scale ML workloads.
  • Collaborate with data scientists and ML engineers to deploy agent-based AI systems into production.
  • Automate infrastructure provisioning using Terraform, Kubernetes, and OCI-native services.
  • Develop CI/CD pipelines for ML models and ensure seamless integration with Oracle's ecosystem.
  • Monitor and troubleshoot infrastructure performance, implementing proactive scaling and fault tolerance.
  • Contribute to open-source projects and stay ahead of emerging AI infrastructure technologies.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 3+ years of experience in cloud infrastructure, preferably with OCI, AWS, or GCP.
  • Strong proficiency in Kubernetes, Docker, and infrastructure-as-code tools like Terraform.
  • Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch) and GPU acceleration.
  • Expertise in Linux systems, networking, and high-performance computing environments.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment.

Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) matching and employee stock purchase program.
  • Flexible remote work options and generous PTO.
  • Professional development stipend and access to Oracle University training.

Locations

  • United States, United States

Salary

Responsibilities

  • design, build, and support the systems, tools, and cloud services that power large-scale machine learning and agent-based workflows

Benefits

  • general: Health Insurance
  • general: 401(k)
  • general: Stock Options
  • general: Flexible PTO

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Oracle logo

AI/ML Infrastructure Engineer

Oracle

Software and Technology Jobs

AI/ML Infrastructure Engineer

full-timePosted: Dec 11, 2025

Job Description

Overview

Oracle is seeking an AI/ML Infrastructure Engineer to design, build, and support the systems, tools, and cloud services that power large-scale machine learning and agent-based workflows. You will play a critical role in enabling Oracle's AI initiatives by optimizing infrastructure for high-performance ML training, inference, and deployment at scale. Join our innovative team to drive the future of AI on Oracle Cloud Infrastructure (OCI).

Responsibilities

  • Design and implement scalable AI/ML infrastructure on OCI, including GPU clusters and distributed training systems.
  • Build and maintain tools for ML workflow orchestration, model serving, and monitoring.
  • Optimize cloud services for cost-efficiency, performance, and reliability in large-scale ML workloads.
  • Collaborate with data scientists and ML engineers to deploy agent-based AI systems into production.
  • Automate infrastructure provisioning using Terraform, Kubernetes, and OCI-native services.
  • Develop CI/CD pipelines for ML models and ensure seamless integration with Oracle's ecosystem.
  • Monitor and troubleshoot infrastructure performance, implementing proactive scaling and fault tolerance.
  • Contribute to open-source projects and stay ahead of emerging AI infrastructure technologies.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 3+ years of experience in cloud infrastructure, preferably with OCI, AWS, or GCP.
  • Strong proficiency in Kubernetes, Docker, and infrastructure-as-code tools like Terraform.
  • Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch) and GPU acceleration.
  • Expertise in Linux systems, networking, and high-performance computing environments.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment.

Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) matching and employee stock purchase program.
  • Flexible remote work options and generous PTO.
  • Professional development stipend and access to Oracle University training.

Locations

  • United States, United States

Salary

Responsibilities

  • design, build, and support the systems, tools, and cloud services that power large-scale machine learning and agent-based workflows

Benefits

  • general: Health Insurance
  • general: 401(k)
  • general: Stock Options
  • general: Flexible PTO

Target Your Resume for "AI/ML Infrastructure Engineer" , Oracle

Get personalized recommendations to optimize your resume specifically for AI/ML Infrastructure Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AI/ML Infrastructure Engineer" , Oracle

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for AI/ML Infrastructure Engineer @ Oracle.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.