6 ml infrastructure engineer jobs at 4 companies in Tolleson, AZ
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Software Engineer, ML Platform
Denver or San Francisco or New York City or San Jose or Scottsdale
$160k-$240k/yrHybridFull Time
Gusto: Cloud-based payroll and HR software for small businesses.
4+ YOERequires 4+ years of software engineering experience in Python, Ruby, or Java; ML infrastructure and platform-service experience; cloud-platform experience; and familiarity with AI frameworks and AI-assisted development tools.
Rochester or Phoenix or Scottsdale or Jacksonville or Minnesota
$141k-$205k/yrHybridFull Time
Mayo Clinic: A non-profit academic medical center providing clinical healthcare services.
4+ YOEMaster's degree plus 4 years or bachelor's degree plus 6 years; production AI/ML experience, healthcare or regulated-industry expertise, cloud infrastructure, software tools, complex data, leadership, and communication skills.
Python, TensorFlow, PyTorch, scikit-learn, Keras, CI/CD, MLOps, Electronic Health Records (EHR)
American ExpressNYSE: AXP: Global financial services and credit card payment network.
5+ YOE5+ years software engineering experience with production LLM or applied ML systems; strong backend, APIs, data pipelines, and cloud infrastructure skills; experience shipping AI/agentic systems and owning production reliability.
American ExpressNYSE: AXP: Global financial services and credit card payment network.
5+ YOE5+ years software engineering experience with production LLM or applied ML systems; strong backend, APIs, data pipelines, cloud infrastructure expertise; experience with agentic AI, RAG, and reliability in regulated environments.
Phoenix or San Diego or San Francisco or Los Angeles or Denver or Portland or Seattle
$185k-$235k/yrOnsiteFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOEMinimum 10 years in technical pre-sales or solutions architecture; hands-on AI/ML infrastructure design experience; ability to whiteboard end-to-end AI architectures; bachelor’s degree required; experience with NVIDIA systems and public cloud platforms.
NVIDIA DGX/HGX, CUDA, AI Enterprise, NeMo, Omniverse, NVAIE, AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data