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Ml Infrastructure Engineer Jobs in Arizona (NOW HIRING)

BC Forward

Observability Operations Engineer

Phoenix, AZ · On-site

$50 - $60/hr

Experience leveraging AI/ML and Generative AI to improve observability, automate operations, and ... Support Linux infrastructure and Kubernetes environments, including Docker, OpenShift, or Rancher.

Inficare Technologies

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Familiarity with AI/ML and Generative AI - vector databases, embeddings, semantic search, LLMs, and RAG * Experience with Infrastructure as Code and DevOps/CI/CD practices * Knowledge of database ...

Fox

Senior Engineer, AI Site Reliability

Tempe, AZ · On-site

$114K - $165K/yr

Fox is hiring a Senior Engineer, AI Site Reliability to help build and operate infrastructure and ... Advance existing deployment, monitoring, and alerting infrastructure using the latest in AI & ML to ...

American Express

Sr AI Engineer I

Phoenix, AZ

$103K - $142K/yr

... AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation ... Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and ...

American Express

Sr AI Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

... AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation ... Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and ...

Globe Telecom, Inc.

AI Engineer

Globe, AZ

$92K - $126K/yr

Modern DevOps Handover: Partner with operations and infrastructure teams to enable seamless ... Data Science & ML Engineering * Generative AI Fundamentals & for Developers * Data Analytics / Data ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

... infrastructure required to deliver healthcare differently. We are looking for an AI/ML Engineer II who wants to build - someone who sees problems as opportunities, moves quickly from idea to ...

Centraprise

Openshift and Python Developer

Chandler, AZ · On-site

$49.50 - $68.25/hr

Job Title : Openshift and Python Developer Job Location : Chandler, AZ (ONSITE) Job Type ... Drive GPU infrastructure enablement on OpenShift for Al/ML and GenAl use cases. o Build and ...

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Showing results 41-60

All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in Arizona

Ml Infrastructure Engineer information

See Arizona salary details

$43.3K

$118.4K

$169.6K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ml infrastructure engineer in Arizona is $118,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $131,400.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Arizona?

For Ml Infrastructure Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ml Infrastructure Engineer jobs in Arizona look for?

The top searched job categories for Ml Infrastructure Engineer jobs in Arizona are:

What cities in Arizona are hiring for Ml Infrastructure Engineer jobs?

Cities in Arizona with the most Ml Infrastructure Engineer job openings:

Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $118,411 per year, or $56.9 per hour.

IAM Engineer - Phoenix, Az

Motion Recruitment

Phoenix, AZ • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description


A leading financial services firm in Chandler, AZ is seeking a Senior Machine Learning Engineer to join their technology innovation team. In this position, you’ll be at the forefront of building state-of-the-art machine learning solutions, taking ownership of projects from the design phase through to on-device deployment.
You’ll architect and support robust pipelines for sensor data analysis, shaping ML systems that deliver real-time inference and anomaly detection on resource-constrained hardware. Collaborating closely with hardware, firmware, and platform teams, you’ll be responsible for seamlessly integrating and validating intelligent features within embedded environments. This role will involve building and automating MLOps solutions, overseeing experiment management, and ensuring scalable and compliant machine learning lifecycle practices suited to regulatory demands.
Key Responsibilities
  • Lead the implementation of sensor data pipelines—from requirements through real-world integration
  • Design, train, optimize, and deploy ML models specifically for edge or embedded platforms, focusing on performance and reliability
  • Combine deep experience in Python with one or more frameworks (PyTorch, TensorFlow) to deliver production-ready models
  • Partner with engineering and product teams to embed, monitor, and validate ML inference in device applications
  • Develop infrastructure and automations for experiment tracking, continuous training, evaluation, and secure model deployment
  • Maintain full documentation for all aspects of the ML lifecycle to enable audit, regulatory compliance, and operational excellence
Required Skills & Experience
  • Extensive experience working with sensor and streaming data in production settings
  • Expertise in Python and at least one major ML library (PyTorch, TensorFlow, or alternatives)
  • Practical experience deploying models on edge systems (e.g., TensorRT, ONNX, TFLite, or similar technologies)
  • Solid engineering background with proficiency in C or C++ for embedded systems collaboration
  • Familiarity with MLOps and model versioning, preferably in a regulated environment
Preferred Qualifications
  • 5+ years hands-on ML development, with significant experience in real-time or embedded applications
  • Background working on medical, wearable, or robotics platforms highly desirable
  • Demonstrated success working in cross-functional teams with hardware/firmware integration
  • Experience in high-growth companies or small teams
  • Bachelor’s or higher in Computer Science, Engineering, or a related field
Daily Activities
  • This role is hands-on and project-focused, where you’ll design new ML workflows, transform raw data, and continually iterate on model performance
  • You’ll support firmware engineers by ensuring seamless embedding and runtime validation of ML features
  • Work with DevOps and MLOps teams to automate deployments and create scalable, reliable ML solutions
  • Troubleshoot model issues, and refine algorithms for speed, accuracy, and compliance
Compensation & Benefits
Eligible for performance-based bonus or commission
Comprehensive benefits package including:
  • Health, dental, and vision insurance
  • Paid holidays and vacation
  • 401(k) retirement plan with company match (if applicable)
Applicants must have current authorization to work in the US on a full-time basis, now and in the future

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