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Artificial Intelligence And Machine Learning 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 ...

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for artificial intelligence and machine learning in Minnesota is $25.81, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $27.31 per hour, depending on experience, location, and employer.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

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

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

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

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

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

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

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

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

Artificial Intelligence And Machine Learning jobs near you
Infographic showing various Artificial Intelligence And Machine Learning job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $53,675 per year, or $25.8 per hour.

System Analyst Artificial Intelligence/Machine Learning

Virginia, MN • On-site

DANE LLC
IT Services • 1 - 10 employees
Learn more about DANE LLCexternal

Other

Posted 26 days ago

Key responsibilities

  • Design, build, and optimize machine learning models and configure data pipelines to source data from various business systems.

  • Develop and maintain reports and dashboards based on stakeholders' requirements using Power BI.

  • Collaborate with functional experts to understand requirements and translate them into technical solutions.

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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