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Aws Machine Learning Jobs in Minnesota (NOW HIRING)

Deloitte

AI Data Engineer - Manager

Minneapolis, MN · On-site

Preferred : • Advanced degrees such as Masters or PhD are preferred • Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud ...

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 ...

Staxa Technologies

AI engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Job Overview We are seeking an experienced AI / Machine Learning Engineer to design, build, and ... Hands-on experience with cloud providers ( AWS, Google Cloud Platform, or Azure ) and ...

THOMSON REUTERS

Research Engineer

Eagan, MN · Hybrid

... machine learning methods * Proficiencyin automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform) * Previousexposure to Natural ...

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 ...

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

Research Engineer

Eagan, MN · On-site

... machine learning methods * Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform) * Previous exposure to Natural ...

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All JobsAws Machine Learning JobsAws Machine Learning Jobs in Minnesota

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.

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 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.
Delivery Lead - Data Engineering & Data Platforms (FP&A Focus)

Delivery Lead - Data Engineering & Data Platforms (FP&A Focus)

First Soft Solutions

Minneapolis, MN • On-site

Full-time

Posted 4 days ago

Job description

Position Overview
We are seeking an experienced Delivery Lead - Data Engineering & Data Platforms with strong Financial Planning & Analysis (FP&A) domain expertise to lead the design, delivery, and modernization of enterprise data platforms. This is a hands-on leadership role requiring a blend of technical depth, delivery management, stakeholder engagement, and strategic data architecture experience.
The ideal candidate will possess extensive experience in data engineering, analytics platforms, cloud technologies, and enterprise-scale data transformation initiatives. The role requires close collaboration with senior business executives, finance leadership, data teams, and technology stakeholders to deliver scalable, high-performance data solutions that support financial planning, forecasting, reporting, and advanced analytics.
Key Responsibilities
  • Lead end-to-end delivery of enterprise data engineering and data platform initiatives.
  • Partner with FP&A, Finance, and executive leadership teams to translate business requirements into scalable data solutions.
  • Design and implement modern data architectures supporting analytics, reporting, forecasting, and machine learning workloads.
  • Drive data integration, data modeling, data governance, and data quality initiatives across multiple source systems.
  • Architect and oversee large-scale data transformation programs involving structured and unstructured data.
  • Lead development teams in building robust ETL/ELT pipelines and cloud-native data solutions.
  • Ensure delivery excellence through effective planning, execution, risk management, and stakeholder communication.
  • Collaborate with business and technical teams to establish data standards, best practices, and reusable frameworks.
  • Provide technical leadership and mentorship to data engineers, architects, and analysts.
  • Present technical and business solutions to senior executives and key stakeholders.

Required Qualifications
Experience
  • 20-25 years of overall experience in Information Technology services across multiple industries.
  • Proven experience leading enterprise-scale data engineering and analytics programs.
  • Strong experience working directly with senior executives and business stakeholders.
  • Demonstrated experience delivering FP&A, financial reporting, forecasting, and analytics solutions.

Data Engineering & Architecture
  • 8-10 years of experience designing and implementing enterprise data platform architectures.
  • Strong expertise in:
    • Data Engineering
    • Big Data Platforms
    • Machine Learning
    • Deep Learning
    • Natural Language Processing (NLP)
    • Time Series Analysis
    • Data Mining
    • Optimization & Simulation
    • Linear and Non-Linear Modeling

Extensive experience with:
  • Snowflake
  • Oracle Database
  • SQL Development and Performance Optimization

Data Integration & Analytics
  • 5+ years of experience designing and implementing data consolidation and conformance solutions across disparate enterprise data sources.
  • Strong understanding of enterprise data warehousing, dimensional modeling, and analytical data structures.
  • Experience supporting advanced analytics, reporting, and business intelligence initiatives.

Cloud Technologies
  • 3+ years of hands-on experience with AWS cloud services.
  • Experience designing scalable cloud-native data platforms and data pipelines.

Preferred Qualifications
  • Experience with Informatica Intelligent Cloud Services (IICS).
  • Experience building high-volume ETL/ELT data pipelines.
  • Strong hands-on experience with Power BI development, dashboards, and data visualization.
  • Experience implementing modern data governance, metadata management, and data quality frameworks.
  • Knowledge of Agile delivery methodologies and DevOps practices for data platforms.

Required Skills
  • FP&A Domain Expertise
  • Data Engineering
  • Data Platform Architecture
  • Snowflake
  • Oracle
  • SQL
  • AWS Cloud
  • Data Warehousing
  • Data Modeling
  • ETL/ELT Development
  • Executive Stakeholder Management
  • Program & Delivery Leadership

Preferred Skills
  • Informatica Intelligent Cloud Services (IICS)
  • Power BI
  • Machine Learning & AI Platforms
  • Big Data Technologies
  • Advanced Analytics & Forecasting

Soft Skills
  • Exceptional communication and presentation skills.
  • Strong executive presence with the ability to engage C-level stakeholders.
  • Strategic thinking combined with hands-on technical leadership.
  • Proven ability to lead cross-functional teams in complex enterprise environments.
  • Strong problem-solving and decision-making capabilities
First Soft Solutions logo

About First Soft Solutions

Sourced by ZipRecruiter

First Soft Solutions custom application Development and Maintenance Services are designed to enable you to lower the total cost of ownership and the required quality for your application. While all application Development Outsourcing is Technically custom, The difference is that packaged applications were designed with a general set of features to be used by a broad range of users. Custom application development is capable of producing practically any feature you may desire for your site. Time and money are virtually the only limiting factors. Our goal is to provide Clients with the Solution that fits their specific and unique needs while giving them the knowledge they need to operate and maintain the New Systems and Software. Our allegiance is to the best solution for our Clients. Our experience and knowledgeable consultants are ready to go above and beyond expectations to assist you in obtaining your goals. We can also provides expert project management throughout the entire project life cycle.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

East Brunswick, NJ, US

Year founded

2006

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