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Aws Machine Learning Jobs in Minnesota (NOW HIRING)

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 ...

Deloitte

Cyber - SecOps - Consultant

Minneapolis, MN · On-site

... machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies such as Databricks for Cyber, AWS ...

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 ...

Deloitte

Senior Forward Deployed Engineer- AWS

Minneapolis, MN · On-site

$109K - $149K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

AI Engineer

Minneapolis, MN · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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Aws Machine Learning information

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$9

$68

$93

How much do aws machine learning jobs pay per hour?

As of Aug 14, 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?

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 for an AWS Machine Learning?

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 does an AWS Machine Learning do?

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?

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What job categories do people searching Aws Machine Learning jobs in Minnesota look for?

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Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,725 per year, or $68.6 per hour.

Senior Quant, Artificial Intelligence/Machine Learning

US Bank

Minneapolis, MN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

51st of 171 rated banks

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

We're looking for a sharp individual contributor who's adept at advanced AI/ML algorithms and their applications in financial institutions to join our AI/ML Validation Center of Excellence in Model Risk Management. The team plays a critical role in providing oversight to U.S. Bank's Artificial Intelligence Models across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations.

As a Senior Quant you will develop benchmark AI/ML models, provide validation expertise and consulting services related to AI/ML model development and model review, including best practices on algorithm development and selection, performance evaluation, implementation, monitoring, model risk mitigation and remediation. In addition, you will be responsible for conducting R&D for various AI/ML methodologies and their potential applications and use cases.

Deliverables include reviewing model development documentation, independently testing of advanced AI/ML and Generative AI & Agentic AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcome to stakeholders within the Bank.

Basic Qualifications
- Bachelor's degree in a quantitative field, and 10 or more years of relevant experience
OR
- MA/MS in a quantitative field, and six or more years of related experience
OR
- PhD in a quantitative field, and five or more years of related experience
Preferred Skills/Experience

- Strong statistical modeling or computer science background and hands on model development or validation skills

- Strong programming skillsusing Python packages such as Numpy, Pandas, and scikit-learn.

- Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, and LLM.

- Hands-on experience designing, developing, and deploying advanced deep learning architectures, including MLPs, RNNs, CNNs, and other state-of-the-art neural network frameworks for a wide range of AI and machine learning applications.

- Deep expertise in advanced Agentic AI architectures and orchestration patterns, including function calling, MCP, SKILLs, A2A, context engineering, harness engineering, loop engineering, and other emerging frameworks for building scalable, multi-agent AI systems.

- Strong expertise in building, deploying, and evaluating GenAI and Agentic AI solutions, including RAG, multi-agent systems, tool-augmented workflows, and advanced evaluation techniques such as adversarial testing, semantic similarity analysis, retrieval assessment, and LLM-as-a-Judge methodologies.

- Hands-on experience with modern AI development, deployment, and evaluation ecosystems, including PyTorch, TensorFlow/Keras, Hugging Face Transformers, LangChain, LangGraph, OpenAI Agent SDK, AI-assisted development platforms such as Claude Code and GitHub Copilot, and LLM evaluation frameworks including DeepEval, LlamaIndex, Ragas, and other comparable tools.

- Familiarity with cloud-based AI platforms and services, including AWS Bedrock, Azure AI, Microsoft Copilot, Google Vertex AI, vector databases, and model serving/inference platforms.

- Research experience and publications on AI or Gen AI are preferred

- Experience in financial industry is preferred but not required

- Advanced understanding of Model Risk Management and OCC SR 26-2 is a plus

- Demonstrated independence, teamwork and leadership skills
- Strong project management skills
- Excellent written and verbal communication skills

LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media

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