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Aws Machine Learning Jobs in Minnesota (NOW HIRING)

Machine Learning Engineer Data Recognition Corporation, Maple Grove MN Company cannot provide ... Familiary with deploying ML models to cloud-based environments (AWS preferred) * Understanding of ...

$106K - $138K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform) * Experience testing ML ...

Design and develop machine learning models using AWS SageMaker, integrated with Jupyter Notebook, to enable scalable model training, evaluation, and deployment. Design solutions for large data ...

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Aws Machine Learning information

See Minnesota salary details

$9

$68

$93

How much do aws machine learning jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for aws machine learning in Minnesota is $68.62, according to ZipRecruiter salary data. Most workers in this role earn between $60.96 and $80.05 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning job?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

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

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What are some typical responsibilities for someone working in an AWS Machine Learning role?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

Infographic showing various Aws Machine Learning job openings in Minnesota as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $142,725 per year, or $68.6 per hour.
Machine Learning Lead Engineer : Fractal AI

Machine Learning Lead Engineer : Fractal AI

ShiftCode Analytics

Minneapolis, MN

$107K - $140K/yr

Other

Posted 8 days ago


Job description

Job Title

Interview : Video Visa : USC, GC, GC EAD Locations : Minneapolis, Seattle, Chicago, or Bay Area ( candidate must be local to any of these locations )

Mandatory Skills:

  • 3-5 years experience working with MLOps system
  • Must have Healthcare industry experience
  • 3-5 years of experience in developing/working on MLOps systems, and an overall experience of 10+ years into Data Science
  • Expert on using Python to develop scripts for MLOps
  • Expert on cloud platform (Azure/AWS) developer environments

Requirements Experience in:

  • Designing data pipelines and engineering infrastructure to support enterprise machine learning systems at scale
  • Organizing offline models that data scientists build and turn them into a real machine learning production system
  • Developing and deploying scalable tools and services for our clients to handle machine learning training and inference
  • Understanding application of software engineering rigor and best practices to machine learning, like CI/CD, automation, auditability, versioning, and data security (KubeFlow, MLFlow)
  • Developing and maintaining Client systems built with open source tools (Kale)
  • Facilitating the development and deployment of proof-of-concept machine learning systems
  • Previous work with data drift model drift
  • Expertise on Kubernetes, Kafka, and/or docker
  • Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
  • Expert in using AWS or Azure Client tools (SageMaker/Azure Client etc.) [preferred]

ShiftCode Analytics logo

About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019