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Ai Reliability Engineer Jobs in Indiana (NOW HIRING)

Nasdaq

Site Reliability Engineer

Denver, IN · Hybrid

$81K - $142K/yr

Leverage AI tooling and automation to reduce manual effort, improve operational efficiency, and ... in site reliability engineering, DevOps, or a related discipline within Agile development ...

OPENLANE

AI First Software Engineer

Carmel, IN

You'll use AI to move faster, ship higher-quality software, and reduce operational and development ... You'll partner closely with Product, Infrastructure, Data, Security, and SRE teams to deliver ...

New

CAI

Reliability Field Engineer

Indianapolis, IN

$36.40 - $47.30/hr

As a Reliability Field Engineer, you are an integral part of our Operational Readiness team. You ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

CAI

Reliability Field Engineer

Indianapolis, IN · On-site

$98K - $123K/yr

As a Reliability Field Engineer, you are an integral part of our Operational Readiness team. You ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

CAI

Reliability Field Engineer

Indianapolis, IN · On-site

$36.40 - $47.30/hr

As a Reliability Field Engineer, you are an integral part of our Operational Readiness team. You ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Elanco

Reliability & HVAC Engineer

Clinton, IN

$96K - $121K/yr

Manufacturing Reliability & HVAC Engineer As a Manufacturing Reliability & HVAC Engineer , you will ... AI, to support parts of our recruitment process, such as reviewing applications against jobrelated ...

TriOptus LLC

Solution Test lead

Indianapolis, IN · On-site

Candidates' focus will be Gen-AI-driven enterprise test automation, quality insights, performance engineering, data-validation frameworks, and tight collaboration with Site Reliability Engineering to ...

Motorola

$170K - $200K/yr

Drive modernization across cloud connectivity, observability, security, and AI-assisted development without compromising legacy stability. * Uncompromising Quality & SRE: Define and enforce rigorous ...

eTeam

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

... to ensure reliability in production • Partner with product managers| data scientists| and ... prompt engineering| and generative AI platforms • Hands-on knowledge of cloud-based AI/ML ...

Lilly

Engineer - Linux Platform

Indianapolis, IN · On-site

Our goal is to improve all aspect of our infrastructure availability and reliability through ... AI/ML acceleration, Infrastructure AI OPS automation, cloud IaaS management, and cloud ...

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

... reliability patterns). * 2+ years leading platform/integration engineering to improve ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

Deloitte

AI Engineer Senior Consultant

Indianapolis, IN · Hybrid

$99K - $137K/yr

Establish data/model reliability and cost-performance discipline (data quality, schema evolution ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

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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.
What are popular job titles related to Ai Reliability Engineer jobs in Indiana? For Ai Reliability Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Indiana look for? The top searched job categories for Ai Reliability Engineer jobs in Indiana are:
What cities in Indiana are hiring for Ai Reliability Engineer jobs? Cities in Indiana with the most Ai Reliability Engineer job openings:
Ai Reliability Engineer jobs near you
Site Reliability Engineer

Site Reliability Engineer

Nasdaq

Denver, IN • Hybrid

$81K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

As a Site Reliability Engineer reporting to Director, System Operations, you'll play a critical role in the delivery, integration, and support of complex, distributed, high-availability solutions for financial institutions and organizations around the globe.
You'll thrive in this position if you're analytical, collaborative, and passionate about building resilient, high-performance systems in a fast-paced, client-focused environment.Key Responsibilities
  • Design, implement, and maintain cloud infrastructure and automation tooling to ensure platform reliability, scalability, and high availability.
  • Monitor system performance, respond to incidents, and lead root cause analysis to drive continuous improvement across distributed environments.
  • Partner with engineering and product teams to embed reliability and DevOps best practices throughout the software development lifecycle.
  • Leverage AI tooling and automation to reduce manual effort, improve operational efficiency, and accelerate delivery outcomes.
  • Support real-time, low-latency applications while maintaining high professional standards in a client-focused, global environment.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
  • 3-7 years of experience in site reliability engineering, DevOps, or a related discipline within Agile development environments.
  • Strong proficiency in cloud infrastructure management, including AWS services and infrastructure-as-code tools such as Terraform.
  • Hands-on experience with containerization technologies, configuration management tools, and scripting languages such as Python, Bash, or Go.
  • Solid understanding of Linux operating systems, Java-based applications, monitoring tools, performance tuning, and automation practices.
Preferred Qualifications
  • Experience in financial services, banking, exchange, or other regulated industries.
  • Familiarity with AI tooling and large language model integrations in operational workflows.
  • Experience supporting global teams and working across complex, matrixed organizations.

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

This position will be located in Denver, CO and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

What We Offer

We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.

The base pay range for this role is $81,000 - $142,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

Nasdaq's programs and rewards are intended to allow our employees to:

  • Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
  • Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
  • Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
  • Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
  • Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities

For more information, visit Nasdaq Benefits & Rewards Career page.

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