5 cloud ml engineer jobs at 5 companies in Belton, 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.
Knoxville or Lafayette or Belton or Lebanon or Fairfax
$102k-$251k/yrHybridFull Time
CGINYSE: GIB: Provides information technology and business consulting services.
8+ YOEUS citizen able to obtain Secret clearance, Bachelor's in CS/SE/AI/ML or related with 8 years' experience; 5+ years designing and deploying AI/ML solutions; strong Python and full‑stack/cloud/DevSecOps skills.
Lead Software Engineer - ML Engineer for Agent Platform
Jersey City or Tampa or Plano or Austin
$152k-$215k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOE5+ years software engineering experience; strong Python; production Kubernetes and cloud-native experience; experience building LLM/agent systems, secure execution, and CI/CD; knowledge of responsible AI and SDLC practices.
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
6+ YOE6+ years software engineering experience building cloud infrastructure; expertise in Python, Java, TypeScript, OCI/AWS/Azure/GCP, Linux, containerization, Kafka, REST APIs, and AI/ML tooling; mentoring and leading initiatives.
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