ZipRecruiter

Log In

1

Afternoon Artificial Intelligence 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

$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 ...

Jobtailor

Machine Learning Engineer

Virginia, MN · On-site

$150 - $190/hr

Guide clients in navigating ML algorithms, tools, and frameworks Requirements * 2+ years of experience with artificial intelligence, data science, or machine learning engineering * Experience with ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · On-site

$119K - $122K/yr

... Artificial Intelligence services such as Azure ML or AWS SageMaker. 5) Providing deep insights from business data using Power BI, Tableau or similar business intelligence tools. 6) Utilizing the ...

next page

Showing results 1-20

All JobsAfternoon Artificial Intelligence Machine Learning JobsAfternoon Artificial Intelligence Machine Learning Jobs in Minnesota

Afternoon Artificial Intelligence Machine Learning information

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

AspectAfternoon Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in ML/AIBachelor's or master's in CS, statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, research labs, AI startupsBusiness, finance, healthcare, tech firms
Industry UsageDeveloping AI models, algorithms, and ML systemsAnalyzing data, building predictive models, insights generation

Both roles require strong backgrounds in computer science and data analysis. While Afternoon Artificial Intelligence Machine Learning focuses on developing AI and ML systems, Data Scientists analyze data to inform business decisions. They often collaborate but serve different primary functions within tech and data-driven industries.

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

With expertise in artificial intelligence and machine learning, common roles include AI Engineer, Machine Learning Engineer, Data Scientist, and Research Scientist. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch. They are often found in technology companies, research institutions, and industries like healthcare, finance, and automotive sectors.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Minnesota?

The most popular types of Artificial Intelligence Machine Learning jobs in Minnesota are:

Afternoon Artificial Intelligence Machine Learning jobs near you

System Analyst Artificial Intelligence/Machine Learning

DANE LLC

Virginia, MN • On-site

$80 - $100/hr

Other

Posted 6 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.

#J-18808-Ljbffr

Apply