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Aws Machine Learning Jobs in Arizona (NOW HIRING)

... machine learning algorithms and data structures. o Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. Soft Skills: o Excellent problem-solving and analytical abilities. o ...

Demonstrated expertise building and deploying machine learning/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment. * Demonstrated expertise with common commercial ...

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113K - $136K/yr

Work with cross-functional team to contribute to machine learning projects throughout the machine ... Google Cloud Platform (Vertex AI, BigQuery, and Cloud Storage), Microsoft Azure, AWS (S3 and EC2 ...

Demonstrated expertise building and deploying machine learning/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment. * Demonstrated expertise with common commercial ...

New

AI Solutions Architect

Tempe, AZ

$60.25 - $79.50/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

AI/ML Engineer II

Phoenix, AZ · On-site

$116K - $139K/yr

Work with cross-functional team to contribute to machine learning projects throughout the machine ... Google Cloud Platform (Vertex AI, BigQuery, and Cloud Storage), Microsoft Azure, AWS (S3 and EC2 ...

Java Developer with AWS (Remote)

Tempe, AZ

$49.75 - $64.25/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions required skills bachelors degree or masters degree in computer science ...

Demonstrated expertise building and deploying machine learning/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment. * Demonstrated expertise with common commercial ...

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting ... Cloud Platforms Azure or AWS especially for data pipelines and model deployment * Data Engineering ...

SVP AI Enterprise Architect

Tempe, AZ · On-site

$67 - $86.50/hr

Responsibilities : • Provide input, guidance, and expertise on generative AI and machine learning ... AWS generative AI tools. • Strong understanding of RAG applications and advanced prompt ...

Establish and enforce AI and machine learning and data operational standards, governance, and best ... Exposure to AWS Bedrock and preferably AWS Sagemaker, Cloud based AI/ML services and modern data ...

Establish and enforce AI and machine learning and data operational standards, governance, and best ... Exposure to AWS Bedrock and preferably AWS Sagemaker, Cloud based AI/ML services and modern data ...

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Aws Machine Learning information

See Arizona salary details

$9

$65

$89

How much do aws machine learning jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for aws machine learning in Arizona is $65.29, according to ZipRecruiter salary data. Most workers in this role earn between $58.03 and $76.15 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning job?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What are the key skills and qualifications needed to thrive in the Aws Machine Learning position, and why are they important?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What are some typical responsibilities for someone working in an AWS Machine Learning role?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the most commonly searched types of Aws Machine Learning jobs in Arizona? The most popular types of Aws Machine Learning jobs in Arizona are:
Infographic showing various Aws Machine Learning job openings in Arizona as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 64% In-person, 9% Hybrid, and 27% Remote job distribution, with an average salary of $135,799 per year, or $65.3 per hour.
AI/ML Engineering Intern

$14.50 - $18.75/hr

Full-time

Posted 6 days ago


Job description

AI/ML Engineering Intern

Tucson, AZ (Onsite) | Aerospace & Avionics

9/80 Schedule Available – Every Other Friday Off

AI/ML Engineering Intern – Build AI That Powers the Future of Flight

At Universal Avionics, we've spent decades building the avionics systems trusted by pilots and operators around the world. Our AI Labs team is pushing the boundaries of what's possible in aerospace technology, and we're looking for an AI/ML Engineering Intern who's ready to build real things -- not just observe.

This is not a shadow-and-sit-in role. You'll be an active contributor to the design, development, and testing of scalable AI and machine learning solutions, working alongside engineers who care deeply about getting it right in a safety-critical environment.

You'll Thrive Here When...

  • You want to build AI systems that actually ship, not just run in notebooks
  • You enjoy translating data into models and models into measurable outcomes
  • You're comfortable working through ambiguity and iterating fast
  • You're curious about how AI fits into regulated, high-stakes industries
  • You thrive in a collaborative, cross-functional engineering environment

What You'll Work On

  • Design and develop scalable AI solutions using machine learning models and tools
  • Build and optimize data pipelines, prototypes, and training datasets using cloud platforms (AWS, Azure, or GCP)
  • Conduct research and testing to develop machine learning algorithms and predictive models
  • Execute performance testing to evaluate AI systems handling large datasets and complex algorithms
  • Ensure the reliability and performance of AI systems through active development and iteration
  • Collaborate with cross-functional teams to support project goals and solution implementation

What We're Looking For

  • Currently pursuing or holding a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
  • Exposure to or working experience in AI, machine learning, or software development
  • Proficiency in Python
  • Familiarity with machine learning frameworks such as TensorFlow, Spark, or scikit-learn
  • Experience with big data tools and cloud computing platforms (AWS, Azure, or GCP)
  • Strong analytical and problem-solving skills

Why Engineers Love Working Here

  • Work on technology that supports real aircraft and global flight operations
  • Gain hands-on exposure to AI development within a safety-critical aerospace environment
  • Mentorship from experienced engineers in a specialized, mission-driven team
  • Opportunity to grow your skills in a company with decades of aerospace credibility
  • 9/80 schedule - every other Friday off

Our Quality Mindset & Core Values

Innovation We advance avionics technology through creative engineering and continuous improvement.

Excellence We hold ourselves to high standards in quality, reliability, and execution.

Resilience We solve complex technical challenges in demanding aerospace environments.

"Yes, I Can" Ownership We value engineers who are proactive, collaborative, adaptable, and solutions oriented.

Work Environment

This role is based on-site in Tucson, Arizona. You'll work primarily in an office environment within our AI Labs team, with exposure to the broader engineering organization. ESD precautions and protective eyewear may be required in certain areas.

If you're passionate about AI, machine learning, and building the systems that keep aviation safe, we'd love to connect.

Learn more: Universal Avionics

Universal Avionics' products and technology are subject to U.S. export laws and regulations, including but not limited to ITAR and EAR. As part of our compliance process, we inquire about work authorization and citizenship status to ensure alignment with these regulations.