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Amazon Machine Learning Jobs in Michigan (NOW HIRING)

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

... machine learning solutions The wage range for this role takes into account the wide range of ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Experience with ...

Databricks Data Engineer

Detroit, MI

$113K - $136K/yr

Experience supporting analytics or machine learning data pipelines * Experience working in ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ...

Data Architect Specialist

Dearborn, MI · On-site

$58.50 - $75.25/hr

Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity ... Machine learning feature stores * Data APIs and self-service analytics platforms This description ...

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Amazon Machine Learning information

See Michigan salary details

$22.2K

$37.1K

$76.7K

How much do amazon machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for amazon machine learning in Michigan is $37,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,300.00 and $40,100.00 per year, depending on experience, location, and employer.

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.

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 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.

Senior Full Stack Engineer, Encore Program

Senior Full Stack Engineer, Encore Program

Deloitte

Grand Rapids, MI • On-site

Other

Posted 21 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.

Recruiting for this role ends on July 16, 2026; 

Work you'll do

As a Senior Full Stack Engineer on the Product Engineering team, you will be responsible for

  • Designing, developing, testing, and deploying full-stack applications that support Deloitte business and product priorities
  • Leading technical analysis, solution design, code development, integration, and production support across multiple initiatives
  • Building scalable, maintainable, and secure software using modern engineering practices, automation, and cloud-native patterns
  • Partnering with product, experience, and delivery teams to translate business and user needs into technical solutions
  • Driving engineering quality through code reviews, unit testing, continuous improvement, and hands-on problem solving

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

US Deloitte Technology Product Engineering has modernized software and product delivery through a scalable, value-driven model focused on outcomes. As Deloitte's primary internal development organization, the team delivers digital solutions that support businesses, service lines, and internal operations. Product Engineering develops and deploys innovative solutions that help Deloitte operate effectively and lead in the market.

Qualifications

Required:

  • Bachelor's degree in computer science, software engineering, or a related field
  • 5+ years of full-stack software engineering experience building and deploying web applications
  • 5+ years of experience with front-end and back-end technologies such as Angular, React, Node.js, Python, C#, .NET Core, Java, Golang, and SQL or NoSQL databases
  • 5+ years of experience designing and delivering cloud-native applications using Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including microservices, platform as a service, or functions as a service
  • 5+ years of experience using Agile, DevSecOps, continuous integration and continuous deployment tools, GitHub, Azure DevOps, or SonarQube in software delivery
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

Preferred:

  • Master's degree in computer science, software engineering, or a related field
  • Experience with artificial intelligence, machine learning, or generative AI solutions
  • Experience translating business requirements, architecture, or user experience designs into technical specifications
  • Experience with automated testing, unit testing, and production deployment support
  • Experience leading technical design, code reviews, or engineering workstreams

The Deloitte Encore Program is specifically designed to enable professionals who have left the workforce to return to work with confidence. This program offers an opportunity to improve your skills in a client service environment, coupled with mentorship to support professional growth. The Encore program is an excellent opportunity to reignite your professional career

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $88,600 to $181,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.

Recruiting for this role ends on July 16, 2026; 

Work you'll do

As a Senior Full Stack Engineer on the Product Engineering team, you will be responsible for

  • Designing, developing, testing, and deploying full-stack applications that support Deloitte business and product priorities
  • Leading technical analysis, solution design, code development, integration, and production support across multiple initiatives
  • Building scalable, maintainable, and secure software using modern engineering practices, automation, and cloud-native patterns
  • Partnering with product, experience, and delivery teams to translate business and user needs into technical solutions
  • Driving engineering quality through code reviews, unit testing, continuous improvement, and hands-on problem solving

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

US Deloitte Technology Product Engineering has modernized software and product delivery through a scalable, value-driven model focused on outcomes. As Deloitte's primary internal development organization, the team delivers digital solutions that support businesses, service lines, and internal operations. Product Engineering develops and deploys innovative solutions that help Deloitte operate effectively and lead in the market.

Qualifications

Required:

  • Bachelor's degree in computer science, software engineering, or a related field
  • 5+ years of full-stack software engineering experience building and deploying web applications
  • 5+ years of experience with front-end and back-end technologies such as Angular, React, Node.js, Python, C#, .NET Core, Java, Golang, and SQL or NoSQL databases
  • 5+ years of experience designing and delivering cloud-native applications using Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including microservices, platform as a service, or functions as a service
  • 5+ years of experience using Agile, DevSecOps, continuous integration and continuous deployment tools, GitHub, Azure DevOps, or SonarQube in software delivery
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

Preferred:

  • Master's degree in computer science, software engineering, or a related field
  • Experience with artificial intelligence, machine learning, or generative AI solutions
  • Experience translating business requirements, architecture, or user experience designs into technical specifications
  • Experience with automated testing, unit testing, and production deployment support
  • Experience leading technical design, code reviews, or engineering workstreams

The Deloitte Encore Program is specifically designed to enable professionals who have left the workforce to return to work with confidence. This program offers an opportunity to improve your skills in a client service environment, coupled with mentorship to support professional growth. The Encore program is an excellent opportunity to reignite your professional career

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $88,600 to $181,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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