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Amazon Machine Learning Jobs in Arizona (NOW HIRING)

Sr. Java Developer - AVP

Tempe, AZ · Hybrid

$54.75 - $70/hr

Cloud experience, preferably in Amazon Web Services (AWS). * Experience with virtualization, containerization and serverless computing. * Integration of Machine Learning libraries and frameworks to ...

Sr. Java Developer - AVP

Tempe, AZ · Hybrid

$54.75 - $70/hr

Cloud experience, preferably in Amazon Web Services (AWS). * Experience with virtualization, containerization and serverless computing. * Integration of Machine Learning libraries and frameworks to ...

Data Engineer

Tempe, AZ

$99.60K - $156.50K/yr

... Analytics, Machine Learning and Artificial Intelligence needs of Paychex. Responsibilities ... Amazon Web Services - Preferred * Apache Hadoop - Preferred Candidates must be legally authorized ...

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Amazon Machine Learning information

See Arizona salary details

$23.8K

$39.7K

$82K

How much do amazon machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for amazon machine learning in Arizona is $39,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What is an Amazon Machine Learning job?

An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.

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

To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.

What types of projects and daily tasks can I expect in an Amazon Machine Learning position?

As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.
Infographic showing various Amazon Machine Learning job openings in Arizona as of May 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Contract, 2% Nights, and 1% Summer. Highlights an 100% Physical job distribution, with an average salary of $39,683 per year, or $19.1 per hour.
Senior Managers, Digital Product Solution Design

Senior Managers, Digital Product Solution Design

American Express

Phoenix, AZ

$125.60K - $165.80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


American Express rating

8.5

Company rating: 8.5 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

27th of 138 rated financial services


Job description

American Express Company seeks Senior Managers, Digital Product Solution Design to gather business requirements and data, and design and develop products consistent with specifications.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Position requires a Bachelor's degree in Computer Science, Engineering, Information Systems, Business Administration, or a related field, followed by 5 years of progressively responsible experience with requirements analysis, and product design and development. Experience must include 1 year of experience with each of the following: technical solution analysis, design, and execution; delivering industry leading solutions to market; implementation and execution of Scrum and Agile practices to develop applications and deliver technology solutions; software design, development, testing, and implementation; Public Cloud Amazon Web Services technologies, including CI/CD services, EC2, EMR, Lambda, and S3; and SaaS, PaaS, IaaS, CaaS for emerging cloud use cases, including Machine Learning, Mainframe modernization, and enterprise Big Data analytics. Telecommuting is available up to 2 days per week.

Job Location: Phoenix, AZ

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider a number of job-related factors, including experience and location.
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Analyze technology stack and platform services, understand and meet key metrics, create service and API requirements, and execute product roadmap. Improve the overall customer experience of card members, leveraging innovative technology solutions that reflect internal and external needs. Help define and prioritize the future of the technology stack, educating key stakeholders on product positioning, key benefits, and target customers.


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