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Artificial Intelligence Machine Learning Engineer Jobs in Minnesota

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Minnesota

Artificial Intelligence Machine Learning Engineer information

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$30.9K

$126.1K

$189.5K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for artificial intelligence machine learning engineer in Minnesota is $126,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $151,800.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Minnesota?

For Artificial Intelligence Machine Learning Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Minnesota look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in Minnesota with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $126,118 per year, or $60.6 per hour.

System Analyst Artificial Intelligence/Machine Learning

DANE LLC

Virginia, MN • On-site

$80 - $100/hr

Other

Posted 15 days ago

Job description

Position Summary

DANE is seeking a highly motivated System Analyst to join the Data Management team. The ideal candidate will work closely with the Information and Business Analytics team, stakeholders and subject‑matter experts to build machine learning (ML) models, artificial intelligence (AI) solutions, configure data pipelines to integrate models with existing software and applications, and drive innovation in alignment with the organization’s AI initiatives. The candidate should have experience collecting stakeholder requirements, translating them into actionable plans, and developing data visualizations using tools such as Microsoft Power BI.

The ideal candidate will have a strong foundation in data science, proficiency in machine learning frameworks, data visualizing frameworks, and experience developing ML models and AI agents using Python. Familiarity with the Microsoft Azure environment is required.

Position Responsibilities
  • Design, build, and optimize machine learning models and configure data pipelines to source data from various business systems.
  • Collaborate with functional experts to understand requirements and translate them into technical solutions.
  • Develop and deploy models in production environments.
  • Monitor and maintain deployed models to ensure accuracy, performance, and reliability.
  • Work with datasets and cloud platforms to build efficient data pipelines.
  • Stay current with the latest research and trends in AI/ML and incorporate relevant findings into the development process.
  • Write clean, maintainable, and well‑documented code following software engineering best practices.
  • Participate in code reviews, design discussions, and team collaborations to improve overall software quality.
  • Develop and maintain reports based on stakeholders’ requirements using Power BI Paginated Reports Builder.
  • Support the development, maintenance, and enhancement of reports and dashboards across the organization.
  • Assist in the configuration and management of database/system connections.
  • Perform other related duties and activities as needed.
Required Skills
  • Bachelor’s degree in Data Science or a related field (Master’s degree preferred).
  • 2+ years of experience in AI/ML development, including model design, training, and deployment.
  • Proficiency in Python and experience with ML libraries such as Pandas, NumPy, NLTK, SciPy, Matplotlib, Seaborn, TensorFlow, PyTorch, JobLib, Jupyter Notebook, scikit‑learn, or similar.
  • Knowledge of Azure subscription, Azure Machine Learning workspace, and Azure App Services.
  • Experience with GitHub for code version control.
  • Experience with databases such as MySQL, PostgreSQL, etc.
  • Knowledge of RESTful APIs and microservices architecture.
  • Familiarity with server‑side security best practices and implementation.
  • Excellent problem‑solving skills and ability to work in a collaborative, fast‑paced environment.
  • Strong communication skills and the ability to translate complex concepts into clear solutions.
Physical Demands and Work Environment
  • The work is mostly sedentary with periods of light physical activity. Workers may need to stand for short periods, lift and carry up to 20 pounds, climb stairs, bend, reach, hold, grasp, and turn objects, and operate a computer.
  • Primary work is performed indoors in a standard office setting with moderate noise levels and frequent interruptions.
Benefits

Flexible work from home options available.

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