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Virtual Aws Machine Learning Jobs in Arizona (NOW HIRING)

Universal Avionics

AI/ML Engineering Intern

Tucson, AZ · On-site

$14.50 - $18.75/hr

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)

Sonsoft Inc

AWS/Cloud Infrastructure

Phoenix, AZ · On-site

Amazon AWS , Azure, OpenStack, CloudFoundry, Mesos and Docker. * Experience in multiple cloud ... Azure Virtual Machines, Blob Storage, Azure SQL Database, StorSimple, Azure DNS, Virtual Network ...

Diligent Tec, Inc.

AI/ML Engineer

Scottsdale, AZ

... 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 ...

Sonsoft Inc

AWS/Cloud Infrastructure

Phoenix, AZ · On-site

Amazon AWS , Azure, OpenStack, CloudFoundry, Mesos and Docker. * Experience in multiple cloud ... Azure Virtual Machines, Blob Storage, Azure SQL Database, StorSimple, Azure DNS, Virtual Network ...

Universal Avionics

AI-ML Engineer 1

Tucson, AZ · On-site +1

$110K - $132K/yr

Design and develop scalable AI solutions using machine learning models and tools * Ensure the ... Awareness of cloud platforms (AWS, Azure, GCP) and services like S3, EC2, or SageMaker. Analytical ...

Universal Avionics

AI-ML Engineer 1

Tucson, AZ · On-site

$98K - $118K/yr

Design and develop scalable AI solutions using machine learning models and tools * Ensure the ... Awareness of cloud platforms (AWS, Azure, GCP) and services like S3, EC2, or SageMaker. Analytical ...

Infosys

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

Required Skill and Experience • Experience in Design, develop, and fine-tune machine learning ... AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML related services. • ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

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 ...

USAA

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 ...

Republic Services

Data Scientist III

Phoenix, AZ

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 ...

Deloitte

AI Solutions Architect

Tempe, AZ · On-site

$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 ...

SynergisticIT

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 ...

USAA

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 ...

Republic Services

Data Scientist III

Phoenix, AZ

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 ...

Staffingine LLC

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 ...

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AI/ML Engineering Intern

AI/ML Engineering Intern

Universal Avionics

Tucson, AZ • On-site

$14.50 - $18.75/hr

Full-time

Posted 10 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.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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