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Ai Reliability Engineer Jobs in Tennessee (NOW HIRING)

Cadre5

Senior Site Reliability Engineer

Knoxville, TN

$50.75 - $67.50/hr

... AI model development, data sharing, and large-scale computational science across the U.S ... SRE/Systems Engineer. An equivalent combination of education and experience may be considered.

Vaco by Highspring

DevOps Engineer

Nashville, TN · On-site

$130K - $150K/yr

Drive automation initiatives using scripting, AI tools, and modern operational practices What We''re Looking For * 5+ years of experience in DevOps, Cloud Engineering, Infrastructure Engineering, SRE ...

MDAEdge

.Net Software Engineering Manager

Nashville, TN · On-site

... E methodologies. • Angular. • React. • Node.js. • Python. • Streamlit. • C#. • .NET Core. • Golang. • SQL. • NoSQL. • CI/CD. • DevSecOps. Preferred : • 3+ years with AI/ML ...

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Ai Reliability Engineer information

What are the key skills and qualifications needed to thrive as an AI Reliability Engineer, and why are they important?

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What are AI Reliability Engineers?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges Ai Reliability Engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.
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Ai Reliability Engineer jobs near you
Senior Site Reliability Engineer

Senior Site Reliability Engineer

Cadre5

Knoxville, TN

$50.75 - $67.50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Senior Site Reliability Engineer
Founded in 1999 in the beautiful Smoky Mountains of East Tennessee, Cadre5 provides innovative technical solutions to customers locally and nationally. Our Cadre5 Lab Partners division has partnered with the National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) to recruit a Senior Site Reliability Engineer for the American Science Cloud (AmSC) initiative.
AmSC is a first-of-its-kind, federally funded cloud infrastructure and API platform designed to accelerate AI model development, data sharing, and large-scale computational science across the U.S. Department of Energy (DOE). ORNL is a premier research institution delivering breakthroughs in energy, national security, and advanced computing.
Located near Knoxville, TN, the lab provides world-class resources to solve some of the nation’s most complex scientific challenges. This is a rare opportunity to be part of a groundbreaking project that will help shape the future of U.S. scientific computing. If you’re passionate about cloud engineering, DevOps, and enabling large-scale science, we’d love to hear from you!
**Please note: The first step in the interview process requires candidates to join a Microsoft Teams meeting with the video turned on.**
This is a full-time position that can telecommute. Occasional travel to the Oak Ridge facility may be required.
Why Cadre5?
  • Working with highly talented team members
  • 3 weeks’ vacation
  • Excellent medical insurance, including employer-paid benefits
Job Responsibilities:
  • Lead ongoing improvements in reliability and scalability for our Kubernetes and Linux based applications and services.
  • Contribute as senior technical resource to define and implement best practices and standards for the center.
  • Provide primary operational support and engineering for production applications.
  • Define and implement define KPIs, processes and drive continuous improvement.
  • Influence the architecture and implementation of solutions.
  • Tune operating systems and applications to increase performance and reliability of services.
  • Mentor junior staff and enable them for success.
  • Diagnose system operational problems quickly and effectively.
  • Participate in on-call rotation providing 24-hour, 7-day support and off-hours maintenance windows.
  • Coordinate with vendors to resolve hardware and software problems.
  • Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.
Basic Qualifications:
  • Bachelor’s Degree in computer science or closely related field and a minimum of 8 years of experience as an SRE/Systems Engineer. An equivalent combination of education and experience may be considered.
  • The ability to obtain and maintain a Department of Energy "Q" clearance may be required. This requires US Citizenship.
Preferred Qualifications:
  • Excellent interpersonal/communication skills, and the ability to work as part of a team.
  • Strong working knowledge of Unix system fundamentals and common network protocols.
  • Experience managing Linux/UNIX operating systems in a heterogeneous environment.
  • Solid understanding of networked computing environment concepts.
  • Ability to develop and maintain programs and scripts that aid in the operation and automation using various shell (primarily bash) and high-level languages (Python or Go).
  • Ability to proactively identify performance issues, problems, and areas for improvement.
  • Ability to identify requirements and to define, plan, and implement requisite solutions.
  • Ability to plan, organize, prioritize tasks, and complete assigned projects with minimal supervision.
  • Experience with continuous integration and continuous deployment software methodologies and how they apply to SRE/systems engineering.
  • An understanding of code review and familiarity with tools like GitHub and GitLab
  • Experience using tools such as Nagios, Grafana and Prometheus to monitor systems, metrics, and create dashboards.
  • Experience designing and implement highly available systems/services utilizing virtual machines and Kubernetes resources.
  • Experience participating in an opensource community with patches accepted upstream.
  • Experience deploying and maintaining automated configuration management software such as Puppet or Ansible
  • Experience implementing systems-level security technologies like SELinux and following security best practices.
Benefits
Cadre5 offers excellent pay and benefits, to include full medical, dental, and vision coverage coupled with 401K match, 15 days PTO, and 10 holidays.
Cadre5 is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. Cadre5 is an E-Verify Employer.
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About Cadre5

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Knoxville, TN, US

Year founded

1999

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