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Aws Machine Learning Jobs in Minnesota (NOW HIRING)

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

We're looking for a Principal Machine Learning Engineer to build AI features for the family ... Proficiency with AWS Bedrock and Comprehend. * Demonstrated leadership in AI/ML solutions in a ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site +1

We're looking for a Principal Machine Learning Engineer to build AI features for the family ... Proficiency with AWS Bedrock and Comprehend. * Demonstrated leadership in AI/ML solutions in a ...

Cargill

Senior Data Scientist

Wayzata, MN · On-site

$148K/yr

... and AWS; time series modeling and statistical libraries including sktime, prophet, ARIMA, ETS, Croston, ThetaForecaster, AutoETS, AutoARIMA, and ExponentialSmoothing; machine learning libraries ...

Cargill

Senior Data Scientist

Wayzata, MN · On-site

$148K/yr

... and AWS; time series modeling and statistical libraries including sktime, prophet, ARIMA, ETS, Croston, ThetaForecaster, AutoETS, AutoARIMA, and ExponentialSmoothing; machine learning libraries ...

Cargill

Senior Data Scientist

Wayzata, MN · On-site

$148K/yr

... and AWS; time series modeling and statistical libraries including sktime, prophet, ARIMA, ETS, Croston, ThetaForecaster, AutoETS, AutoARIMA, and ExponentialSmoothing; machine learning libraries ...

3M

Senior Manager - Data Engineering

Saint Paul, MN

$188K - $230K/yr

... Iceberg, AWS, dbt, Python, SQL, APIs, streaming technologies, and data orchestration platforms. Ensure products support AI applications, machine learning, intelligent agents, semantic models ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

... machine learning frameworks like Spark, TensorFlow, or Scikit-learn. * Expertise in deploying Python applications in Cloud service production environments (e.g., AWS, Azure, GCP), potentially ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · On-site +1

... machine learning frameworks like Spark, TensorFlow, or Scikit-learn. * Expertise in deploying Python applications in Cloud service production environments (e.g., AWS, Azure, GCP), potentially ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

... machine learning frameworks like Spark, TensorFlow, or Scikit-learn. * Expertise in deploying Python applications in Cloud service production environments (e.g., AWS, Azure, GCP), potentially ...

Thomson Reuters

Lead Research Engineer

Eagan, MN · On-site

$104K - $137K/yr

... in AWS or Azure (or a related cloud platform) * Proficiency in system analysis and design ... Experience integrating Machine Learning solutions into production-grade software with a sound ...

THOMSON REUTERS

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

... AWS or Azure (or a related cloud platform) * Proficiency in system analysis and design&Consider ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

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Showing results 21-40

All JobsAws Machine Learning JobsAws Machine Learning Jobs in Minnesota

Aws Machine Learning information

See Minnesota salary details

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How much do aws machine learning jobs pay per hour?

As of Jul 24, 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.

What are popular job titles related to Aws Machine Learning jobs in Minnesota? For Aws Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Aws Machine Learning jobs in Minnesota look for? The top searched job categories for Aws Machine Learning jobs in Minnesota are:
Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Minnesota as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $142,725 per year, or $68.6 per hour.
Principal AI / ML Engineer

Principal AI / ML Engineer

NxT Level

Minneapolis, MN • On-site

Full-time

Medical, Retirement, PTO

Posted 2 days ago

Job description

Our client is a digital consumer product. They're building social features using LLMs and Machine Learning to add to user experience. We're looking for a Principal Machine Learning Engineer to build AI features for the family.
Qualifications:
  • A confident craftsperson who possesses problem-solving tools and can discuss multiple approaches while preferring the best approach given the constraints.
  • A scientific artist and artistic scientist who can navigate complexity and bring clarity to intricate problems while appreciating simplicity as the highest sophistication.
  • A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental improvements toward ambitious goals.
  • An advocate for team collaboration and open communication.
  • Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques.
  • Significant experience in AI/ML engineering with a strong data science background.
  • Demonstrated ability in designing and training LLMs.
  • Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications.
  • Proficiency with AWS Bedrock and Comprehend.
  • Demonstrated leadership in AI/ML solutions in a commercial environment.
  • Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration and processing.
  • Proven ability to lead and inspire teams of senior engineers and data scientists.
  • Effective individual contributor within a collaborative team environment.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities:
  • Collaborate with the Data team to transform Data Lakehouse potential into actionable insights and services that enhance user experiences.
  • Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science principles.
  • Implement technologies in AWS and Databricks for handling and processing large datasets for advanced language model training.
  • Lead data science practices, including model selection and training methodology.
  • Build, train, manage, and host LLMs using Data Lakehouse data.
  • Optimize AI system performance through testing and tuning, leveraging data science and Databricks methodologies.
  • Ensure ethical standards and data privacy compliance in AI solutions.
  • Provide specialized AI/ML expertise to guide the development and optimization of AI features.
  • Stay updated on the latest AI/ML and data science trends, especially in LLMs and AWS, Databricks/Apache Spark technology.

Benefits:
  • Full Medical Coverage: OFW covers 100% of premiums for employees and their families.
  • 401k: Up to a 4% match with immediate vesting.
  • 12 weeks of paid leave for all new parents.
  • Learning & Development stipend for employees.
  • Supportive and flexible working environment, allowing remote work from anywhere.

Apply