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Ai Reliability Engineer Jobs in Missouri (NOW HIRING)

WEX Inc.

AI Principal Engineer

California, MO · On-site

$250.30 - $289/hr

Position Summary As a Principal AI/ML engineer, this technical leader will be responsible for the ... Partner with the security org and SRE org to ensure continuous improvement and meeting security ...

Equifax, Inc.

AI Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

Equifax is seeking a visionary AI engineer to lead our technology transformation initiative. In ... Establish and lead best practices for the reliability, versioning, monitoring, and observability of ...

Jobtailor

Lead DevOps Engineer

California, MO · On-site

$150 - $210/hr

Leverage AI for platform health insights, cost optimization, and predictive capacity planning. * Lead reliability engineering practices including incident response, postmortems, and automated ...

MetroStar

$125K - $145K/yr

This role will enable secure, scalable, and high-performing application delivery for AI-driven ... Drive continuous improvement initiatives focused on automation, reliability engineering ...

Compa

Senior Software Engineer, Platform

California, MO · On-site

$120 - $160/hr

About Compa Compa is a venture-backed AI startup revolutionizing the future of compensation. In a ... Work on scaling, automation, reliability, and observability of backend and infrastructure services

KlearNow.ai

Senior AI Engineer

California, MO · On-site

$187 - $215/hr

Role Overview As a Senior AI Engineer on our Applied AI team, you will design and deploy ... Develop evaluation frameworks, benchmarks, and quality loops to ensure reliability * Build and ...

Walmart

(USA) Staff, Software Engineer

Noel, MO · On-site

$110K - $220K/yr

About the team: The Global Technology CCC team collaborates closely with SRE, DevOps, and ... Build AI-driven applications integrating ML components and automation features. * Mentor engineers ...

Walmart

(USA) Staff, Software Engineer

Anderson, MO · On-site

$110K - $220K/yr

About the team: The Global Technology CCC team collaborates closely with SRE, DevOps, and ... Build AI-driven applications integrating ML components and automation features. * Mentor engineers ...

Jobgether

Solid understanding of modern DevOps, Site Reliability Engineering (SRE), and platform engineering ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

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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 is an AI reliability engineer?

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

SRE/Performance Engineer

World Wide Technology

Saint Louis, MO • On-site

$81K - $102K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

World Wide Technology rating

7.8

Company rating: 7.8 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

88th of 223 rated it services

Job description

Qualifications
  • Bachelor of Science degree or equivalent experience in Computer Science, Management Information Systems, Information Technology, or a related field
  • 4-8 years of IT experience with a strong focus on Site Reliability Engineering (SRE), Performance Engineering, Observability, and DevOps practices
  • Strong hands-on experience with Kubernetes and Red Hat OpenShift platforms, including ingress, Istio service mesh, and full-stack telemetry across metrics, logs, traces, and events
  • In-depth hands-on experience with at least one APM tool such as Grafana Application Observability, Dynatrace, AppDynamics, Datadog, New Relic, or similar
  • Hands-on experience with at least one performance testing tool (e.g., k6, LoadRunner, JMeter, or similar)
  • Solid experience building, configuring, and maintaining custom dashboards and alerts using Grafana and Splunk; Prometheus experience a plus
  • Experience working with GitHub and CI/CD pipelines
  • Experience with one or more programming languages including JavaScript, Python, C, and Java
  • Preferred experience with SQL and NoSQL databases (Oracle, SQL Server, PostgreSQL, MongoDB) and data analysis tools such as Toad or SQL Developer
  • Excellent verbal and written communication skills with the ability to clearly articulate complex technical concepts to diverse audiences
  • Demonstrates emotional resilience, servant leadership, self-awareness, humility, and a strong commitment to continuous learning

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $81,400.00 to $102,000.00 annually Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
The well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
  • Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
  • Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
  • Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
  • Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program

Note: This is not an all-encompassing list and should not be used as a complete description of the plan's benefits. For more information, see our US Benefits Website
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for all!
If you require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.
World Wide Technology is an Equal Opportunity Employer.
"If you have any questions or concerns about this posting, please email taposting@wwt.com.
Why WWT?
World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.
Founded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)-a collaborative ecosystem featuring state-of-the-art hardware and software-WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distribution capabilities.
With more than 14,000 team members and over 60 locations globally, WWT's culture-grounded in core values and leadership philosophies-has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
Responsibilities
  • Drive end-to-end observability and performance reliability for Kubernetes and Red Hat OpenShift platforms
  • Develop, debug, and execute performance test scripts using tools such as k6, LoadRunner, or JMeter across web applications, Oracle forms, APIs, and TELNET-based systems
  • Identify performance bottlenecks, troubleshoot complex issues, and lead optimization efforts across distributed systems
  • Build and maintain custom dashboards and alerts in Grafana and Splunk to support ongoing monitoring and reliability efforts
  • Analyze performance test results and produce clear, actionable performance and reliability insights and reports for technical and non-technical audiences
  • Collaborate across teams within CI/CD pipeline workflows using GitHub

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