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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 ...

Designs and builds advanced statistical, predictive, machine learning, and AI models, selecting ... AWS, to support analytics and data science workflows. * Demonstrated expertise with common ...

Designs and builds advanced statistical, predictive, machine learning, and AI models, selecting ... AWS, to support analytics and data science workflows. * Demonstrated expertise with common ...

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 ...

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 ...

CTIO AI Engineering Manager

Phoenix, AZ · On-site

$73K - $244K/yr

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.

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 ...

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

... AWS, or Azure. • Beginner-level knowledge or hands-on experience with Artificial Intelligence (AI), Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Agentic ...

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 Aug 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?

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 for an AWS Machine Learning?

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 does an AWS Machine Learning do?

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 August 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.

$61.50 - $79/hr

Full-time

Re-posted 29 days ago


Job description

Hands-on experience with AWS services:
S3 for data storage and management
Athena for querying data
Step Functions & Lambda for orchestration and automation
SageMaker for ML workflows
AWS Bedrock for LLM-powered conversational agents
Strong proficiency in Python for data engineering, automation, and API integration.
Experience building knowledgebases and conversational agents (Conversight or equivalent).
Strong SQL skills and familiarity with large-scale data environments.
Solid understanding of ETL design, orchestration, and optimization in cloud platforms. 

We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics with a focus on secure, scalable, and resilient systems. This role will focus on developing knowledgebases and agents that allow business users to interact with data through natural language, while ensuring reliability, scalability, and efficiency across AWS cloud infrastructure.
Key Responsibilities
* Design, build, and optimize data pipelines using AWS
* Implement security best practices across data and AI pipelines
* Develop and maintain knowledgebases and agents and integrate structured and unstructured data sources
* 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 lineage, and quality control across all conversational AI systems.
* Automate orchestration, monitoring, and logging for data pipelines and conversational agents.
* Build and maintain CI/CD pipelines to enable secure, automated, and reliable deployments
* Collaborate with analytics, product, and business teams to design solutions that improve decision-making and data democratization.
Required Skills & Qualifications
* 2+ Years Hands-on experience with AWS services (S3, Athena, Lambda, Step Functions, Redshift Serverless, SageMaker, Bedrock)
* Strong proficiency in Python for data engineering, automation, and API integration.
* Experience building knowledgebases and conversational agents or equivalent.
* Strong SQL skills and familiarity with large-scale data environments.
* Solid understanding of ETL design, orchestration, and optimization in cloud platforms.
Preferred Qualifications
* Experience with LLM integration into business workflows.
* Familiarity with lakehouse frameworks (Iceberg, Delta) for scalable analytics.
* Experience with DevOps/Infra-as-Code (Terraform, CloudFormation).
* Background in marketing analytics or customer intelligence use cases. 
Education:Employment Type: FULL_TIME

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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

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