12 ml infrastructure engineer jobs at 9 companies in Wheeling, IL
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Kirkland & Ellis: Provides legal services for corporate, litigation, and transactional matters.
12+ YOE5+ MgmtBachelor's required; 12+ years infrastructure/platform/cloud engineering experience with 5+ years managing managers; 5+ years designing and operating production AI/ML platforms; deep Microsoft Azure and hybrid GPU experience; executive communication and governance knowledge.
Microsoft Azure, Microsoft Azure OpenAI, Microsoft Azure AI Foundry, Microsoft Azure AI Search, Microsoft Azure Kubernetes Service (AKS), Kubernetes, Docker, MLOps, CI/CD, Infrastructure-as-Code, GPU, Microsoft 365 (M365) Automation, FinOps
Kirkland & Ellis: Provides legal services for corporate, litigation, and transactional matters.
12+ YOE5+ MgmtBachelor's degree required; 12+ years in infrastructure/platform/cloud engineering with 5+ years managing managers; 5+ years building and operating production AI/ML platforms; deep Microsoft Azure expertise, Kubernetes/Docker, MLOps, IaC, governance and vendor/FinOps experience.
Microsoft Azure, Microsoft Azure OpenAI, Microsoft Azure AI Foundry, Microsoft Azure AI Search, Microsoft Azure Kubernetes Service (AKS), Kubernetes, Docker, MLOps, CI/CD, Infrastructure-as-Code, Microsoft 365 (M365), FinOps, GPU, SOC 2, ISO 27001
LightSpeed Build Technologies: Developing AI-powered robotics for automated construction and manufacturing.
4+ YOE4+ years ML engineering experience building and deploying production models; proficiency with PyTorch or TensorFlow, Python and C++; computer vision and edge deployment experience; familiarity with ML infrastructure and CI/CD.
HuronNasdaq: HURN: Professional services firm providing management consulting and digital transformation.
5+ YOE1+ Mgmt5+ years in ML/AI platform or MLOps, 1–2 years leading, hands-on production AI systems, strong Python, experience with AWS and Azure, Docker, Kubernetes, and infrastructure as code.
AtkoreNYSE: ATKR: Manufactures electrical, safety, and infrastructure products for construction.
5+ YOEBS/BA required, 5+ years in DevOps/Cloud/Infrastructure engineering, expertise with Kubernetes, Docker, Terraform, Azure, AI/ML infrastructure experience, strong security and API knowledge.
Kubernetes, Docker, Terraform, Azure, Azure ML Studio, Mflow, CI/CD, ERP, MES
AtkoreNYSE: ATKR: Manufactures electrical, safety, and infrastructure products for global construction.
5+ YOEBS/BA required; 5+ years in DevOps/Cloud/Infrastructure; experience with Kubernetes, Docker, Terraform, Microsoft Azure and AI/ML infrastructure; strong security, API, and MLOps knowledge.
Kubernetes, Docker, Terraform, Microsoft Azure, Microsoft Azure ML Studio, Mflow, ERP, MES
AtkoreNYSE: ATKR: Manufacturer of electrical raceway and infrastructure safety solutions.
5+ YOEBachelor's degree required, 5+ years in DevOps/cloud/infrastructure, expertise with Kubernetes, Docker, Terraform, Azure; experience with AI/ML infrastructure and enterprise security; strong collaboration and communication skills.
Kubernetes, Docker, Terraform, Azure, Azure ML Studio, Mflow, CI/CD, ERP, MES
7+ YOEBachelor's degree or equivalent, 7 years troubleshooting experience, system design or code reading (Java, C++, Python). Preferred: enterprise integrations (APIs, ECMs, identity), cloud infrastructure, and AI/ML model deployments.
UpworkNASDAQ: UPWK: Online marketplace connecting businesses with independent professionals.
Senior engineering leader with strong experience delivering search/recommendation systems, distributed systems, data pipelines, and ML infrastructure; proven people leadership and cross-functional partnership.
Chicago or Detroit or Minneapolis or St. Louis or Kansas City or Omaha or Columbus or Tulsa or Nashville or Austin
$185k-$235k/yrFieldFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOE10+ years in technical pre-sales/solutions architecture; hands-on AI/ML infrastructure design across GPU, storage, networking and MLOps; NVIDIA and cloud platform experience; bachelor's degree required; strong presentation and whiteboarding skills.
NVIDIA DGX, NVIDIA HGX, CUDA, AI Enterprise, NeMo, Omniverse, Advanced Technology Center (ATC), AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data, MLOps