1

Amazon Machine Learning Jobs in Michigan (NOW HIRING)

Machine Learning Engineer

Dearborn, MI

$105.50K - $126.60K/yr

Stefanini is looking for a Machine Learning Engineer (Dearborn, MI) For quick apply, please reach ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery. Workflow ...

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 ...

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 ...

... or support machine learning workflows • Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...

New

Design and implement robust, scalable data science and Machine Learning Operations (MLOps) pipelines primarily within cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS ...

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 ...

AI Data Engineer Senior Consultant

Detroit, MI · On-site

$113.10K - $135.90K/yr

... machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management • 4+ years of experience using Amazon ...

AI Data Engineer Senior Consultant

Detroit, MI · On-site +1

$104.90K - $142.60K/yr

... machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management * 4+ years of experience using Amazon ...

Sr Databricks Data Engineer

Detroit, MI · On-site

$103.30K - $141.80K/yr

... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • 5+ years of ... machine learning use cases on cloud data platforms Company : Deloitte is a business consulting ...

next page

Showing results 1-20

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 May 29, 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 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 Michigan as of May 2026, with employment types broken down into 88% Full Time, 6% Part Time, 1% Temporary, 2% Contract, 2% Nights, and 1% Summer. Highlights an 100% Physical job distribution, with an average salary of $37,116 per year, or $17.8 per hour.
Machine Learning Engineer

$105.50K - $126.60K/yr

Other

Posted 13 days ago


Job description

  • 6+ years of professional experience with a Bachelor’s degree.
  • Experience in data engineering, data product development, and software product launches.
  • Proficiency in at least three of the following: Java, Python, Spark, Scala, SQL.
  • 3+ years of cloud data/software engineering experience building scalable batch and streaming data pipelines.
  • Experience with cloud data warehouses such as Google BigQuery, Amazon Redshift, or Azure Synapse Analytics.
  • Experience with workflow orchestration tools such as Airflow.
  • Experience with relational databases including MySQL, PostgreSQL, or SQL Server.
  • Experience with real-time streaming platforms such as Apache Kafka or Google Cloud Platform Pub/Sub.
  • Experience with microservices architecture and REST APIs.
  • Experience with DevOps tools including GitHub, Git, Terraform, Docker, Tekton, or GitHub Actions.
  • Experience with project management tools such as Jira.
  • Strong understanding of Google Cloud Platform (Google Cloud Platform).
  • Experience with TensorFlow and machine learning operations (MLOps).