2 cloud security engineer mlops engineer jobs at 1 company in Benson, AZ

PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
HiringCafe
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.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
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.
Python, PyTorch, Elasticsearch, LLMs
PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yr On-SiteFull Time
HiringCafe
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.
Node.js, Python, Elasticsearch, Redis
4d
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Associate Director, AI Software Security Engineer
McKinney or Tewksbury or Tucson
$157k-$299k/yr OnsiteFull Time
RTX
RTXNYSE: RTX: Provides advanced aerospace and defense systems and services.
12+ YOEU.S. citizen with ability to obtain/maintain TS/SCI clearance, STEM degree, ~12+ years experience deploying AI/LLMs, secure MLOps/DevSecOps, cloud (AWS/Azure/GCP), Python, ML frameworks, and leadership experience.
Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), Python, Large Language Models (LLMs)
6d
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Associate Director, AI Application Engineer
McKinney or Tucson or Tewksbury
$157k-$299k/yr OnsiteFull Time
RTX
RTXNYSE: RTX: Provides advanced aerospace and defense systems and services.
12+ YOE12+ years applying AI/ML to deliver production systems, experience with LLMs, secure MLOps/DevSecOps, cloud and embedded deployment, and ability to obtain TS/SCI clearance (U.S. citizenship required).
Python, Large Language Models (LLMs)