14 ml infrastructure engineer jobs at 12 companies in Euless, TX
🚀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.
GameStopNYSE: GME: Video game, consumer electronics, and collectibles retail.
9+ YOE9+ years software development; dynamic pricing and real-time data pipelines; web scraping; AWS, Kubernetes, CI/CD; Java/Spring; e-commerce/retail tech.
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
8+ YOE8+ years software engineering; 4+ years Kubernetes production experience; on-prem/self-managed Kubernetes; Go; etcd; Kubernetes internals; AI/ML or GPU workloads on Kubernetes; production incident management.
Senior Kubernetes Platform Engineer - AI Infrastructure
Research Triangle Park or Dallas or Allen
$137k-$201k/yrHybridFull Time
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
8+ YOE8+ years software engineering experience, 4+ years Kubernetes production/control-plane experience, expertise with etcd and Go/Golang, experience with on-prem Kubernetes (OpenShift/Anthos), GPU/AI/ML workloads, incident response and on-call.
Fidelity Investments: Provides investment management, retirement planning, and brokerage services.
8+ YOEBachelor's or Master's in CS/Software Engineering, 8+ years building and operating production platforms, deep Python and distributed systems expertise, Linux fluency, AWS and CI/CD experience, infrastructure-as-code, ML platform enablement, and cross-org technical leadership.
Senior Lead Software Engineer-AI Foundation Services
Plano or Jersey City or Wilmington or McLean
$171k-$260k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOE5+ years software engineering experience building cloud-native AI/ML platform services with Kubernetes, CI/CD, and infrastructure-as-code; proficiency in Python/Java/Go; strong production reliability and secure-by-design practices.
PepsiCoNASDAQ: PEP: Produces and distributes global snack and beverage products.
12+ YOE5+ MgmtLead design and operation of an enterprise AI observability platform; strong experience in AI safety, Responsible AI, ML infrastructure, OTEL, and cloud systems; 12+ years in tech; 5+ years in senior/architect roles.
Solera: Integrated software and data for vehicle lifecycle management.
7+ Mgmt15+ years software engineering; 7+ years leading teams; AI/ML tooling experience; change management; cloud-native architecture; regulated domains; BS/MS in CS or Engineering.
.NET, Java, React, Cloud infrastructure, CI/CD, SRE, AI tooling
Livingston or New York City or Sunnyvale or San Francisco or Bellevue or Dallas
$165k-$242k/yrOnsiteFull Time
CoreWeaveNASDAQ: CRWV: Specialized cloud infrastructure provider for high-performance AI workloads.
4+ YOE4+ Mgmt4+ years managing technical support or field engineering teams, hands-on technical background, experience in SaaS/AI/ML, data-driven management, strong cross-functional communication, familiarity with cloud infrastructure and ML tooling.
EricssonNasdaq: ERIC: Manufactures telecommunications equipment and provides networking services.
10+ YOEBachelor's in engineering/CS, 10+ years in data center/telecom infrastructure, automation, and large-scale deployments; experience with AI/ML, data lake and platform options; proven strategy and global/matrixed team leadership.