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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

Cyber - AWS Cloud Security - Manager

Detroit, MI · On-site

$109K - $148K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

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 ...

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

$90 - $130/hr

What You'll Do Design, build, and deploy machine learning algorithms, statistical models, and ... Our environment includes technologies such as Python, Databricks, Delta Lake, AWS (Amazon Web ...

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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 Aug 30, 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 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?

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 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
Infographic showing various Amazon Machine Learning job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,116 per year, or $17.8 per hour.

Senior Machine Learning / MLOps Engineer

HTC Global Services

Dearborn, MI • On-site

$112K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Senior Machine Learning / MLOps Engineer
Overview / Summary
We are seeking a Senior Machine Learning / MLOps Engineer to build scalable and robust machine learning data pipelines in the cloud and support AI-driven initiatives. This role will focus on ML operations, cloud data engineering, data governance, production data pipelines, infrastructure, and continuous optimization of data and ML solutions.
The role requires strong technical communication skills and the ability to collaborate with data analytics stakeholders, cross-functional teams, and management.
Key Responsibilities
  • Build scalable and robust ML data pipelines in the cloud to process large volumes of connected vehicle data.
  • Optimize existing ML solutions for performance, security, and cost-effectiveness.
  • Utilize continual learning methods to continuously improve model performance.
  • Develop analytical data products using streaming and batch ingestion patterns on Google Cloud Platform.
  • Build data pipelines to monitor data quality and the performance of analytical models and AI solutions.
  • Maintain data platform infrastructure using Terraform.
  • Continuously develop, evaluate, and deliver code using CI/CD practices.
  • Collaborate with data analytics stakeholders to streamline data acquisition, processing, and presentation.
  • Implement an enterprise data governance model focused on data protection, sharing, reuse, quality, and standards.
  • Enhance and maintain DevOps capabilities of the data platform.
  • Optimize existing data solutions, including pipelines, products, and infrastructure, for performance, security, reliability, and cost.
  • Work in an Agile product team using Test Driven Development (TDD), continuous integration, and continuous deployment (CI/CD).
  • Address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle.
  • Perform data mapping and data lineage activities and document information flows.
  • Monitor production pipelines and provide production support by addressing production issues according to SLAs.
  • Analyze connected vehicle data to support new product development and production vehicle improvements.
  • Identify data quality, vehicle, and feature issues and work with business owners to resolve them.
  • Communicate technical concepts clearly and advocate for well-designed solutions.
  • Continuously enhance domain knowledge of connected vehicle data, connected services, and algorithms, models, and solutions developed by data scientists and AI engineers.
  • Stay current with data engineering practices and contribute to technical direction while maintaining a customer-centric approach.
  • Mentor and advise junior team members to expand ML Ops expertise across the organization.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field.
  • Master's degree or foreign equivalent in a related field with 4 years of experience, or an equivalent combination of education and experience, including 6+ years with a bachelor's degree.
  • At least 4 years of professional experience in data engineering, data product development, and software product launches.
  • At least 4 years of experience with at least three of the following: Java, Python, Spark, Scala, SQL.
  • At least 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines.
  • Deep knowledge of implementing ML/AI Ops on Google Cloud Platform.
  • Experience with Machine Learning and MLOps.
  • Experience with Python.
  • Knowledge of TensorFlow.
  • Experience with data governance.
  • Knowledge of Artificial Intelligence and Expert Systems.
  • Experience with GitHub.
  • Experience with cloud data warehouses such as Google BigQuery, Amazon Redshift, or Microsoft Azure Synapse Analytics.
  • Experience with workflow orchestration tools such as Airflow.
  • Experience with relational database management systems such as MySQL, PostgreSQL, or SQL Server.
  • Experience with real-time data streaming platforms such as Apache Kafka or GCP Pub/Sub.
  • Experience with microservices architecture for large-scale real-time data processing applications.
  • Experience with REST APIs for compute, storage, operations, and security.
  • Experience with DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, and Docker.
  • Experience with project management tools such as Atlassian JIRA.
  • Strong technical communication and collaboration skills.
  • Ability to work in an Agile environment.
  • Ability to troubleshoot data pipeline and product issues.
  • Ability to simplify and clearly communicate complex data and software concepts.
  • Ability to work with cross-functional teams and all levels of management independently.

Preferred Qualifications
  • Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field.
  • 2 years of experience with ML model development and/or MLOps.
  • Experience contributing code to open-source data/software engineering projects.
  • Experience architecting cloud infrastructure and handling application migrations and upgrades.
  • GCP Professional Certifications.
  • Knowledge of telematics.
  • Experience with data modeling, data mining, and database design.
  • Experience implementing automation across data pipelines to minimize development and production labor.
  • Experience working from concept through operations and providing technical subject matter expertise for successful deployment.
  • Strong analytical skills for profiling data and troubleshooting data pipeline/product issues.
  • Passion for experimenting with and implementing data engineering methods and techniques.
  • Ability to mentor and advise junior team members.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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