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Artificial Intelligence Machine Learning Engineer Jobs in Arizona

Deloitte

Manager - Data Science / Data Lake

Tempe, AZ · On-site

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration * Working with ...

Indeed

Machine Learning Engineer III

Scottsdale, AZ

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a ... We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of ...

Deloitte

Oracle AI Manager

Tempe, AZ

... artificial intelligence/machine learning solution architecture 4+ years of experience with AI ... AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ...

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How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for artificial intelligence machine learning engineer in Arizona is $119,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation. Compensation at this level reflects extensive expertise, strategic impact, and often involves stock options or bonuses in addition to base salary.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What engineers make $500,000?

Artificial Intelligence and Machine Learning Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in leadership roles.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming languages like Python, machine learning frameworks, and data analysis to develop and implement AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers make?

AI ML engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can command higher salaries, often exceeding $200,000.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Arizona? For Artificial Intelligence Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Arizona are:
What cities in Arizona are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Arizona with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

$110K - $180K/yr

Other

Posted 4 days ago

Job description

Description

Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology.


Our work spans the full system lifecycle-from R&D to operational deployment-supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you'll join a small, agile team where your contributions have a direct impact while working alongside top-tier engineering talent.


Position Overview

Turn machine learning into real-world mission capability.

PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production-developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments.


You'll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions.


What You'll Do
  • Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment 
  • Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow 
  • Integrate models into production systems (APIs, batch pipelines, real-time services) 
  • Implement model validation, evaluation metrics, and performance monitoring 
  • Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements 
  • Collaborate with data engineers and domain experts to prepare and validate datasets 
  • Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments 
  • Troubleshoot model and pipeline issues; perform root cause analysis and optimization 
  • Contribute to technical documentation, test plans, and operational runbooks 
  • Participate in design reviews, architecture discussions, and Agile development processes 
  • Mentor junior engineers and promote engineering best practices

Requirements

  • U.S. Citizenship 
  • Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain) 
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field 
  • 4+ years of experience in: 
    • Machine Learning Engineering 
    • Applied AI/ML development 
    • Production ML systems 
  • Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow) 
  • Experience developing, training, and deploying ML models in real-world applications 
  • Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring) 
  • Experience building maintainable, production-quality software 
  • Familiarity with Docker and cloud environments (AWS, Azure, or GCP) 
  • Experience working in Agile and CI/CD environments 
  • Strong problem-solving, communication, and collaboration skills 

Preferred Qualifications
  • Master's degree in a related field 
  • Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR) 
  • Experience transitioning models from research to production environments 
  • Familiarity with experiment tracking, model versioning, and reproducibility practices 
  • Experience with GPU-based ML workflows and cloud ML platforms 
  • Background in defense, intelligence, or other regulated environments 

Why Join PSG?

At PSG, you're not just taking a job-you're building technology that matters.

  • Competitive compensation & benefits 
  • 9/80 flexible work schedule 
  • Professional development & tuition assistance 
  • Small, agile team with high ownership and visibility 
  • Work on mission-critical systems supporting national security 
  • Opportunities to grow across AI/ML, software engineering, and platform development 

Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems.


Salary Description

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

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