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Aws Machine Learning Jobs in Arizona (NOW HIRING)

Data Architect

Chandler, AZ

$61.50 - $79/hr

Implement and support machine learning workflows in SageMaker for model training, deployment, and monitoring. * Leverage AWS Bedrock to build and deploy conversational AI solutions. * Ensure data ...

SVP AI Enterprise Architect

Tempe, AZ · On-site

$137K - $240K/yr

Deep experience with generative AI, machine learning, and enterprisegrade AI/ML systems in ... Mastery of Azure AI Foundry and working knowledge of AWS generative AI tools. * Strong ...

Snowflake Architect

Scottsdale, AZ · On-site

$64.25 - $82.50/hr

Hands-on experience with cloud environments like AWS, GCP, or Azure, particularly in deploying and ... Machine Learning: * Strong experience creating and tuning machine learning models in Azure and ...

AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect - Professional; Professional Machine Learning Engineer, Professional Cloud Architect * Experience with LLM prompt ...

Data Engineer

Globe, AZ

$108K - $130K/yr

Build, and produce scaled data pipelines, lakehouses, and machine learning infrastructure on AWS or GCP. * Maintain efficient, accurate and safe data storage and flow, and right-size data ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... like AWS, GCP, Azure - Contributing to open-source projects or AI/ML publication Travel ...

In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning ... Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud Platform.

Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, and MLOps ... Exposure to APIs, cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and vector databases

New

Architect

Phoenix, AZ

$63 - $83/hr

... such as machine learning, deep learning, natural language processing, computer vision, or ... as AWS, Azure, or Google Cloud. • Strong analytical, problem-solving, and communication ...

Showing results 41-60

Aws Machine Learning information

See Arizona salary details

$9

$65

$89

How much do aws machine learning jobs pay per hour?

As of Jul 25, 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:
What are popular job titles related to Aws Machine Learning jobs in Arizona? For Aws Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Aws Machine Learning jobs in Arizona look for? The top searched job categories for Aws Machine Learning jobs in Arizona are:
Infographic showing various Aws Machine Learning job openings in Arizona as of July 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 Engineer - Computer Vision

AI/ML Engineer - Computer Vision

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

$110K - $180K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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 Description:

Develop AI-Powered Computer Vision Solutions for Real-World Mission Applications

Prime Solutions Group (PSG), Inc. is seeking an experienced AI/ML Computer Vision Engineer to design, develop, and deploy advanced computer vision and machine learning solutions supporting mission-critical national security programs.


In this role, you will work at the forefront of artificial intelligence, applying state-of-the-art deep learning techniques to challenging real-world problems involving image, video, and sensor data. You will be responsible for developing and optimizing machine learning models, conducting experimentation, improving model performance, and transitioning AI capabilities into operational environments.


This position is ideal for engineers who enjoy solving complex technical challenges, working with large-scale datasets, and turning cutting-edge research into production-ready solutions.

Responsibilities include:

  • Design, develop, train, and deploy machine learning and computer vision models for real-world mission applications.
  • Build and optimize deep learning architectures, including CNNs, Vision Transformers (ViTs), and hybrid AI/ML models.
  • Perform hyperparameter tuning, model optimization, and performance evaluation to improve accuracy, robustness, and efficiency.
  • Develop and maintain training, validation, testing, and inference pipelines for AI/ML systems.
  • Analyze model performance, identify failure modes, and implement improvements to increase reliability and generalization.
  • Work with large image, video, and sensor datasets to support object detection, classification, segmentation, tracking, and anomaly detection tasks.
  • Collaborate with software engineers and MLOps teams to integrate models into production environments.
  • Evaluate emerging AI technologies and recommend new approaches that improve mission outcomes.
  • Create technical documentation, experiment reports, and performance assessments.
  • Support technical reviews, customer briefings, and cross-functional engineering efforts.
Requirements:
  • U.S. Citizenship
  • Active Top-Secret Clearance with eligibility to obtain an SCI with CI Poly
  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
  • 4+ years of experience developing AI/ML solutions in production, research, or applied engineering environments.
  • Proven experience delivering models using Python and ML frameworks (TensorFlow, PyTorch, Keras, etc.).
  • Experience training and evaluating machine learning models using large datasets.
  • Experience developing and training computer vision models using deep learning techniques.
  • Familiarity with CNNs, Vision Transformers, object detection, classification, and segmentation.
  • Experience with model tuning, hyperparameter optimization, and performance evaluation.
  • Strong understanding of computer vision fundamentals and image analysis techniques.
  • Ability to improve model accuracy, robustness, and operational performance.
  • Familiarity with software engineering best practices, Git, and collaborative development workflows.


Preferred Skills or Experience:

  • Experience with generative AI technologies, including diffusion models and image generation systems.
  • Familiarity with Vision-Language Models (VLMs), multimodal AI, Large Vision Models (LVMs), and Retrieval-Augmented Generation (RAG).
  • Experience with object tracking, multi-object tracking, or video analytics.
  • Experience applying computer vision techniques to imagery, remote sensing, or sensor-based data.
  • Familiarity with reinforcement learning or autonomous systems.
  • Experience with MLOps tools and practices, including Docker, Kubernetes, MLflow, Airflow, and CI/CD pipelines.
  • Experience deploying AI/ML solutions in AWS, Azure, or Google Cloud environments.
  • Experience supporting defense, intelligence, aerospace, or other mission-critical programs.


Why Join PSG?

At PSG, you'll work on challenging AI problems that directly support national security missions. You'll have the opportunity to collaborate with highly skilled engineers and researchers while helping shape the next generation of intelligent sensing, computer vision, and AI-enabled systems.

We offer:

  • Competitive compensation and benefits
  • Professional development and tuition assistance
  • Flexible and collaborative engineering culture
  • Exposure to cutting-edge AI/ML technologies
  • Direct impact on mission-critical programs
  • Opportunities to grow into technical leadership roles

Bring your passion for AI, computer vision, and machine learning to PSG and help build the next generation of intelligent mission systems.



Salary Description

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