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Amazon Machine Learning Jobs in Michigan (NOW HIRING)

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... machine learning solutions to enhance business processes, as well as drive data-driven decision ... MS Visio, Microsoft 365 Services, XML, ANSI SQL, Oracle, Microsoft SQL Server, Postgres, Amazon RDS ...

Deloitte

AI Solutions Architect

Detroit, MI · On-site

$62.25 - $82.25/hr

Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks * Ability to ...

Technogen, Inc.

AI Architect

Auburn Hills, MI · On-site

... Machine Learning Lens), and applicable enterprise compliance baselines Agentic AI and LLM ... Bedrock, Amazon SageMaker, Amazon Q, Bedrock Agents, and Bedrock Knowledge Bases Define ...

Deloitte

Lead Business Transformation Architect

Detroit, MI · On-site

$54.75 - $75/hr

Qualifications Required: * 2+ years of experience with artificial intelligence or machine learning concepts and algorithms * 5+ years of experience with Amazon Web Services, Microsoft Azure, Google ...

Staffactory

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

In addition, the position will involve designing and optimizing cloud-native data and AI platforms leveraging Amazon Web Services (AWS) to support advanced analytics, machine learning, and real-time ...

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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 Jul 14, 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.

What are popular job titles related to Amazon Machine Learning jobs in Michigan? For Amazon Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Amazon Machine Learning jobs in Michigan look for? The top searched job categories for Amazon Machine Learning jobs in Michigan are:
Amazon Machine Learning jobs near you
Software Dev Engineer, Cradle (Accuro)

Software Dev Engineer, Cradle (Accuro)

Amazon

Detroit, MI

Full-time

Re-posted 11 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,965 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Build exabyte-scale data processing engines with leading-edge technology. If you want to work with Spark, Java, Scala, Python, Flink, Beam, and AWS services (EMR, EKS, Kinesis, DynamoDB, SQS) - processing and transforming data across Amazon's data lakes - this is the role for you.
About the Team
The BDT team builds the platform that connects millions of businesses to hundreds of millions of customers across Amazon's global marketplaces. We enable native SQL, machine learning, and functional transformations using Apache Spark - executing batch, ML, and streaming workloads over schema'd data in S3, and writing curated datasets to front-end caches (DynamoDB, Redis, ElasticSearch)

Our platform lets customers transition seamlessly between Streaming, Batch, Cache, and Analytics to meet demand at Amazon scale.
We are a team that relentlessly innovates, keeps customers at the center, and delivers results with velocity while continuously raising the bar.
What We're Looking For
Background in distributed systems development
Solid technical ability and passion for building at scale
Good communication skills and a bias for action
Motivation to deliver results in a fast-paced, high-impact environment
Key job responsibilities
Design & Delivery - Lead the design and delivery of major features and re-architecture of significant technology components
Quality & Operational Excellence - Ensure software maintains a high bar for quality, security, architecture, and operational excellence
Problem Solving - Identify root causes of widespread issues - including those limiting innovation and delivery velocity - across systems and components
Technical Leadership - Make sound trade-offs between short-term technical/operational needs and long-term business impact; take calculated risks and mitigate long-term risk
Collaboration & Influence - Engage with and influence team members, external teams, partners, and leadership
Mentorship - Mentor less experienced engineers, provide career development opportunities, and deliver constructive feedback to peers
Communication - Effectively communicate technical decisions, trade-offs, and business rationale across the organization
A day in the life
The challenges you'll solve at Amazon are big - influencing millions of customers, sellers, and products worldwide. We're looking for individuals passionate about building new products, features, and services from scratch while navigating ambiguity at a pace where development cycles are measured in weeks, not years.
Your day includes daily standups, driving your goals and deliverables, contributing to innovation and operational excellence, rotating on-call every 8-10 weeks, and continuously improving the customer experience.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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