ZipRecruiter

Log In

1

Aws Machine Learning Jobs in Arizona (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Phoenix, AZ

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Chandler, AZ

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Mesa, AZ · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Flagstaff, AZ · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Chandler, AZ · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Glendale, AZ

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Tucson, AZ

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Mesa, AZ

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Phoenix, AZ · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

next page

Showing results 1-20

All JobsAws Machine Learning JobsAws Machine Learning Jobs in Arizona

Aws Machine Learning information

See Arizona salary details

$9

$65

$89

How much do aws machine learning jobs pay per hour?

As of Jul 4, 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:
Aws Machine Learning jobs near you
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.

Machine Learning Operations Manager

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Posted 4 days ago

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The MLOps Manager role is all about leading and managing the deployment, management, maintenance and optimization of machine learning models in production environments.

DUTIES AND RESPONSIBILITIES:

  • Team Leadership - provide mentorship, guidance and support to team members

  • Strategic Planning - develop and execute MLOps strategy aligned with Globe's objectives

  • Model Deployment and Management - oversee the deployment of Machine Learning models into production and ensures reliability, scalability and performance. Optimize the models to make it cost effective .

  • Infrastructure knowledge - evaluate and select appropriate infrastructure, tools and technologies to support end-to-end machine learning lifecycle

  • Automation and Orchestration - develop or oversee the development of pipelines for model inference and retraining

  • Collaboration - collaborate with data scientists, data engineers, insighters and other stakeholders to identify improvements in the models.

  • Model Governance - guides the implementation of alerting system or dashboards for tracking the health, performance and reliability of models in production and ensures compliance with regulations, privacy policies and standards

  • Continuous Improvement - drive continuous improvement initiatives for the enhancement of deployed models and MLOps practices

REQUIREMENTS:

  • Minimum of 5 years of experience in machine learning, data science, or software engineering roles.

  • At least 2-3 years of experience in MLOps, DevOps, or similar roles, with a focus on model deployment and operationalization

  • Proven track record of managing projects and leading teams.

    Knowledge of data privacy regulations and best practices in model governance and security.

    Willingness to continuously learn and adapt to new technologies and methodologies in the MLOps domain.

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

Soft Skills:

  • Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams and translate technical concepts into business terms.

  • Strong problem-solving abilities and analytical thinking

Hard Skills:

  • Proficiency in programming languages such as Python, R, or Java.

  • Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Strong understanding of CI/CD pipelines, version control (e.g., Git), and infrastructure as code (IaC).

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

Apply