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Ml Infrastructure Engineer Jobs in Chicago, IL (NOW HIRING)

AI/ML Infrastructure Engineer

Mundelein, IL · On-site

$109K - $143K/yr

AI/ML Infrastructure Engineer Mid-Level to Senior | Engineering & Platform Ops US-based -- CA preferred, open to West Coast + remote. Hybrid-friendly. Address: 2211 Park Blvd, Palo Alto, CA 94306 ...

... the ML infrastructure and processes for scalability and performance. Qualifications : Required ... ML engineering. • Strong programming skills in Python (TypeScript experience is a plus). • ...

ML Engineer

Chicago, IL · On-site

$180 - $260/hr

Contribute to secure, testable, and maintainable ML infrastructure. Required Qualifications * 3+ years of machine learning engineering experience in production environments. * Strong Python skills ...

New

Senior ML Engineer

Chicago, IL · On-site

$120 - $160/hr

As a Senior ML Engineer at Equiforte, you will develop, train, and deploy the machine learning ... Build and maintain the ML infrastructure that serves models in production with low latency and high ...

New

Azure/Databricks Infrastructure Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks ...

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

About the role We're hiring for a Senior AI/ML Engineer, Growth & Marketing AI to help us build the ... Design and improve infrastructure for training, serving, and monitoring large-scale ML and deep ...

Senior Staff MLOps Engineer

Chicago, IL · On-site

$190K - $315K/yr

As a Staff MLOps Engineer, you will build and own the infrastructure, tooling, and scalable systems ... Experience with recommendation system infrastructure. * Strong grasp of classical ML concepts as ...

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems ... Experience with ML infrastructure: data pipelines, experiment tracking, model serving * Proficiency ...

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Showing results 1-20

Ml Infrastructure Engineer information

See Chicago, IL salary details

$47.9K

$130.9K

$187.5K

How much do ml infrastructure engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ml infrastructure engineer in Chicago, IL is $130,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $145,200.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Chicago, IL?

For Ml Infrastructure Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Ml Infrastructure Engineer jobs in Chicago, IL look for?

The top searched job categories for Ml Infrastructure Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Ml Infrastructure Engineer jobs?

Cities near Chicago, IL with the most Ml Infrastructure Engineer job openings:

Infographic showing various Ml Infrastructure Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,897 per year, or $62.9 per hour.

AI/ML Infrastructure Engineer

Predii

Mundelein, IL • On-site

$109K - $143K/yr

Other

Posted 5 days ago


Key responsibilities

  • Build and run deployments on Azure, GCP, and AWS using Kubernetes, Terraform, Ansible, and Helm.

  • Develop and maintain reliable CI/CD pipelines, monitoring, logging, alerting, and tracing systems.

  • Own security, compliance, access controls, backups, disaster recovery, and cloud cost optimization.


Job description

AI/ML Infrastructure Engineer

Mid-Level to Senior | Engineering & Platform Ops

US-based — CA preferred, open to West Coast + remote. Hybrid-friendly.

Address: 2211 Park Blvd, Palo Alto, CA 94306

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ABOUT PREDII

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Predii builds the intelligence layer that runs the automotive service and parts industry. Our platform, Predii 360, turns messy repair-order, DMS, and parts data into real-time intelligence — powering parts lookup, diagnostics, and repair search for dealership and aftermarket customers at scale, processing billions of repair orders and serving live search at sub-second latency.

We're small, fast, and allergic to red tape. No 12-layer approval chains, no work that disappears into a backlog forever. If you build something here, it ships — and real customers use it. Learn more at www.predii.com.


PREDII RESEARCH

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We do real research, not just integration. We continue to submit state-of-the-art research on topics including: engineering-diagram and technical-document understanding, domain-calibrated evaluation frameworks for technical content, multi-agent architectures that optimize for correctness and honesty, detecting "confident-but-wrong" failures that standard monitoring misses, moving from reactive detection to causal, explainable prognosis, and multilingual evaluation of technical and repair content. We've found that multi-agent systems that just concatenate outputs get less trustworthy as they get more capable, so we design ours to contest and qualify each other's findings instead. And we run open-weight models in production at enterprise scale, because repair-grade accuracy shouldn't cost frontier-model money. All of it is deliberately vertical: deep automotive domain expertise applied to automotive problems, not a general-purpose model with an automotive skin.


THE VIBE

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We need a AI/ML Infrastructure Engineer who wants more than tickets — someone ready to actually own infrastructure across multiple clouds and help shape how we build. This is real ownership, not busywork. You'll touch:

  • Multi-cloud infra (Azure, GCP, AWS)
  • Kubernetes, CI/CD, automation-everything
  • Security, compliance, access — keeping the house locked
  • Monitoring & reliability — catching problems before customers do
  • Incident response & disaster recovery
  • Cloud cost optimization (yes, we care about the bill too)

Senior folks: expect to shape architecture and mentor the team, not just execute someone else's roadmap.


WHAT YOU'LL ACTUALLY DO

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  • Cloud & Platform — build + run deployments on Azure, GCP, AWS with Kubernetes/AKS, Terraform, Ansible, Helm.
  • DevOps & CI/CD — ship pipelines that are reliable and repeatable, not held together with duct tape.
  • Reliability & Observability — build monitoring, logging, alerting, tracing; hunt down root causes, not just symptoms.
  • Security & Compliance — RBAC, auth, network security, vuln management, SOC 2 Type 2 controls.
  • Resilience & Ops — own backups, DR, capacity planning, cloud costs, and production support.
  • Keep Leveling Up — evaluate new tools across DevOps, infra, and DevSecOps; you're not stuck with 2019's stack.
  • IT Support — jump in on Windows Server / macOS support when needed.


YOUR TOOLKIT

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  • Cloud & Containers: Azure, GCP, AWS, Docker, Kubernetes, AKS
  • Automation: Terraform, Ansible, Helm, Bash, Python
  • CI/CD: GitHub Actions, GitLab CI, Azure DevOps (or similar)
  • Observability: Grafana, Prometheus, ELK (or equivalent)
  • Networking: TCP/IP, DNS, load balancing, VPNs, firewalls/NSGs, segmentation
  • Identity: RBAC, cloud IAM, Okta, multi-tenant auth
  • Systems: Linux, Windows Server, macOS
  • Security & Compliance: SOC 2 Type 2, access/change controls, business continuity + DR


WHAT YOU BRING

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  • 3–5+ years hands-on AI/ML Infrastructure / DevOps / SRE / Platform Engineering, in production — not just labs.
  • Strong cloud + Kubernetes chops — Azure/AKS preferred; GCP/AWS/Docker is a big plus.
  • Solid networking and security fundamentals.
  • Comfortable with Terraform, Ansible, Helm, Bash, Python (or similar).
  • Real Git-based CI/CD experience — automated deploys, security scanning included.
  • Battle-tested on observability & prod ops — monitoring, incident response, RCA, runbooks, backup, DR.
  • Working knowledge of security/compliance across Linux, Windows Server, macOS.
  • A self-starter mindset — comfortable working independently across a distributed US–India team.


BONUS POINTS

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  • Auth/IAM experience, especially multi-tenant setups.
  • Background in automotive or data-heavy platforms.
  • Been through a SOC 2 Type 2 audit before.
  • Startup or small-team energy — you've worn more than one hat.
  • Cloud, Kubernetes, or Terraform certs.
  • Senior folks: mentoring or technical leadership experience.


HOW WE ROLL

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  • Own it — flag issues early, make the call, follow through.
  • Be proactive — don't wait to be told; spot the risk, bring the fix.
  • Share the load — security and reliability are everyone's job, not just yours.
  • Make it count — your work ships to production and touches real customers, real fast.


How To Apply
  • Email: jobs@predii.com