ZipRecruiter

Log In

1

Ml Infrastructure Jobs in Indiana (NOW HIRING)

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...

Accenture

AI/ML Computational Science Engineer

Carmel, IN · On-site

$26.39 - $77.88/hr

You Are As an AI/ML Computational Scientist, you will design, build, and operationalize artificial ... and infrastructure requirements - including edge device and HPC * Engage in research and ...

New

next page

Showing results 1-20

All JobsMl Infrastructure JobsMl Infrastructure Jobs in Indiana

Ml Infrastructure information

What is ML infrastructure?

ML Infrastructure refers to the underlying systems, tools, and processes that enable the development, deployment, and scaling of machine learning models. This includes data storage and management, computing resources, model training and serving environments, monitoring, and automation tools. ML Infrastructure ensures that data scientists and engineers can efficiently build, test, and maintain machine learning applications in a reliable and reproducible manner. It is a crucial foundation for organizations looking to operationalize AI and machine learning solutions at scale.

What are some common challenges faced by professionals working in ML infrastructure roles?

Professionals in ML Infrastructure often encounter challenges related to scaling systems to handle large volumes of data, ensuring reliable deployment pipelines, and maintaining reproducibility across different environments. They must also collaborate closely with data scientists and engineers to streamline workflows and address issues like version control and model monitoring. Staying updated with rapidly evolving tools and best practices is essential, and balancing stability with innovation is a frequent aspect of the role.

What are the key skills and qualifications needed to thrive as an ML infrastructure engineer, and why are they important?

To thrive as an ML Infrastructure Engineer, you need a strong background in software engineering, cloud computing, and machine learning concepts, often supported by a degree in computer science or a related field. Proficiency with containerization tools (like Docker and Kubernetes), cloud platforms (such as AWS, GCP, or Azure), and CI/CD systems is critical. Excellent problem-solving, collaboration, and communication skills help you efficiently work with data scientists and DevOps teams. These skills and qualities are vital for building scalable, reliable ML systems that support rapid experimentation and deployment in production environments.

What is the difference between Ml Infrastructure vs Data Engineer?

AspectML InfrastructureData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of cloud platformsBachelor's in CS, Software Engineering, or related; experience with databases and ETL tools
Work EnvironmentFocus on deploying and maintaining ML systems, cloud environments, and infrastructure toolsDesigning, building, and managing data pipelines and storage solutions
Industry UsageUsed in AI/ML teams to support model deployment and scalabilityUsed across data-driven organizations for data management and analytics

ML Infrastructure specialists focus on deploying, scaling, and maintaining machine learning systems and infrastructure, while Data Engineers primarily build and manage data pipelines and storage solutions. Both roles require technical skills and often collaborate, but their core responsibilities differ in focus and tools used.

What are popular job titles related to Ml Infrastructure jobs in Indiana?

For Ml Infrastructure jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ml Infrastructure jobs in Indiana look for?

The top searched job categories for Ml Infrastructure jobs in Indiana are:

Ml Infrastructure jobs near you
Infographic showing various Ml Infrastructure job openings in Indiana as of August 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

Infrastructure Engineer- Identity, AI & Cloud Platforms

Indianapolis, IN • On-site

Simon Property Group
Real Estate • 1 - 5K employees
Learn more about Simon Property Groupexternal

$102K - $134K/yr

Other

Posted 15 days ago

Simon Property Group rating

7.9

Company rating: 7.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Position Summary

Simon Property Group is seeking an Infrastructure Engineer to help design, implement, administer, and support enterprise identity, artificial intelligence, and cloud infrastructure platforms. This role requires hands-on engineering experience and the ability to independently support assigned infrastructure components, troubleshoot complex technical issues, and contribute to secure, scalable platform improvements. The ideal candidate has practical experience with cloud platforms, identity administration, automation, and infrastructure operations in an enterprise environment. This individual will partner with Cyber Security, Application Development, Data & Analytics, and Infrastructure teams to deliver reliable solutions, improve operational processes, and maintain appropriate security and governance controls.

Primary ResponsibilitiesIdentity & Access Engineering
  • Configure, administer, and troubleshoot Microsoft Entra ID services and enterprise identity solutions.
  • Implement and maintain identity modernization capabilities including authentication, MFA, Conditional Access, SSO, RBAC, identity governance, and lifecycle management.
  • Develop and maintain secure integrations for enterprise applications and cloud services.
  • Implement identity security controls aligned with cybersecurity and compliance requirements.
  • Support mergers, acquisitions, tenant migrations, and enterprise onboarding initiatives.
AI Enablement & Governance
  • Configure, support, and monitor secure enterprise adoption of AI technologies including Microsoft Copilot, Claude, Gemini, and other emerging AI platforms.
  • Partner with business, security, and data teams to translate platform requirements into practical AI and infrastructure solutions.
  • Implement and maintain governance controls for AI agents, AI workloads, enterprise data integrations, and usage-based AI services.
  • Build and support AI infrastructure and enterprise integrations across platforms such as Copilot, Claude, Gemini, Azure AI services, vector search, document intelligence, and related AI capabilities.
  • Research emerging AI technologies and contribute to standards for enterprise adoption.
Cloud Infrastructure Engineering
  • Deploy, configure, and maintain enterprise cloud platform services across Azure, AWS, and GCP, or related cloud-native solutions.
  • Maintain secure and scalable cloud services using platform-appropriate governance, RBAC, storage, networking, monitoring, and security services across Azure, AWS, and GCP.
  • Implement infrastructure-as-code and automation solutions to improve reliability and speed of deployment.
  • Contribute to cloud modernization, migration, and integration efforts across multi-cloud and enterprise platform environments.
  • Monitor cloud usage, performance, and capacity trends; recommend practical improvements for cost optimization and reliability.
Automation & Operational Excellence
  • Develop automation solutions using PowerShell, Microsoft Graph, Azure automation services, and related technologies.
  • Identify repeatable operational tasks and develop automation or self-service improvements to reduce manual effort.
  • Monitor infrastructure performance, investigate incidents, and contribute to improvements in observability, reliability, disaster recovery, and resiliency.
  • Participate in technical reviews, document procedures, and provide recommendations for assigned infrastructure initiatives.
Security & Compliance
  • Collaborate with Cyber Security teams on cloud security, identity security, monitoring, and compliance initiatives.
  • Support auditing, governance, and regulatory compliance activities by maintaining documentation, evidence, and platform controls.
  • Ensure secure deployment of AI and cloud technologies through appropriate controls and standards.
Required Qualifications
  • 4+ years of hands-on experience in enterprise infrastructure, cloud engineering, systems administration, or related technology roles.
  • Hands-on experience administering Microsoft Entra ID, identity management, authentication, MFA, Conditional Access, and access control processes.
  • Hands-on experience with cloud administration and engineering across Azure, AWS, GCP, or comparable enterprise cloud platforms.
  • Experience developing scripts or automation using PowerShell, Microsoft Graph, Azure automation services, or comparable tools.
  • Working knowledge of RBAC, cloud security controls, monitoring, and compliance practices in enterprise environments.
  • Solid understanding of enterprise networking, authentication, cloud architecture principles, troubleshooting, and operational support.
  • Ability to manage assigned work independently, collaborate across technical teams, and communicate recommendations clearly.
Preferred Qualifications
  • Experience with Microsoft Copilot, Copilot Studio, Claude, Gemini, AI agents, or related enterprise AI platforms.
  • Experience with Azure AI Services, AWS AI/ML services, Google Cloud AI capabilities, Claude, Gemini, Copilot, or related ML/AI workloads.
  • Experience with Azure DevOps, AWS-native automation, Google Cloud automation, infrastructure-as-code, or related automation technologies.
  • Familiarity with tenant migrations, cloud transformations, and identity modernization programs.
  • Microsoft or related certifications in cloud, security, identity, AI, or infrastructure technologies.
About Simon

Simon is a global leader in retail real estate ownership, management and development and an S&P 100 company (Simon Property Group, NYSE: SPG). Our industry-leading retail properties and investments across North America, Europe and Asia provide shopping experiences for millions of consumers every day and generate billions in annual retail sales. Our portfolio includes assets of national and international renown - proven assets that are the preferred location for retailers. In addition to our high quality properties, Simon is also known for our strong balance sheet, a long‑tenured and well‑respected senior management team, and our innovative spirit, as reflected in a 50 + year history of successful retail real estate development, management, and leasing. Simon was named Fortune’s Most Admired Real Estate Company eight times. We have experienced an explosion of growth and innovation unprecedented in the industry and we look forward to Simon's future.

Equal Employment Opportunity

Simon is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you require assistance or need to request an accommodation due to a disability, please email CandidateAccommodations@simon.com. Please note this email is intended only for accommodation requests related to the application and interview process. Any other correspondence will not receive a response.

#J-18808-Ljbffr

What Simon Property Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply