13 ml infrastructure engineer jobs at 11 companies in Illinois
🚀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
Thoughtworks: Global technology consultancy providing software engineering and digital transformation.
Deep ML engineering experience building scalable production ML systems; strong Python coding; experience with distributed systems, MLOps/CI-CD, cloud or on-prem infrastructure; stakeholder management and leadership skills.
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.
Software Engineer, Machine Learning Infrastructure - Gen AI
San Francisco or New York City or Illinois or Colorado or United States
$137k-$202k/yrOnsiteFull Time
DoorDashNASDAQ: DASH: On-demand delivery platform connecting consumers with local merchants.
4+ YOEB.S./M.S./PhD in CS or equivalent; 4+ years software engineering; strong backend fundamentals in Python and distributed systems; experience building production services, observability, and ML workflows.
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.
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.
6+ YOEBachelor's or equivalent,8+ years technical project management/customer-facing experience,6+ years technical sales or sales engineering,experience with SaaS,cloud infrastructure,web technologies,AI/ML and SSO; strong communication and change-management skills.
Gemini, SaaS, cloud infrastructure, web technologies, AI/ML, SSO
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
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
5+ YOE5+ years developing DevOps/DevSecOps tooling and automation; Python or Linux shell scripting; infrastructure automation, CI/CD, Kubernetes/Docker/Jenkins, AWS; experience with AI/ML monitoring; ability to obtain Secret clearance; bachelor’s degree.
Python, Linux Shell Script, Kubernetes, Docker, Jenkins, AWS, Microsoft Azure, Google Cloud Platform, MLflow