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Flexible Artificial Intelligence Machine Learning Jobs in Minnesota

Instacart

Learn more about our flexible approach to where we work. About the Role: As a Machine Learning ... Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations ...

Instacart

Learn more about our flexible approach to where we work. About the Role: As a Machine Learning ... Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations ...

Instacart

Learn more about our flexible approach to where we work. About the Role: As a Machine Learning ... Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations ...

Instacart

Learn more about our flexible approach to where we work. About the Role: As a Machine Learning ... Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations ...

Instacart

Learn more about our flexible approach to where we work. About the Role: As a Machine Learning ... Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

... flexible, and high-quality technical solutions. In This Position You Will: * Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

... flexible, and high-quality technical solutions. In This Position You Will: * Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

... flexible, and high-quality technical solutions. In This Position You Will: * Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision

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 ...

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Flexible Artificial Intelligence Machine Learning information

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

AspectFlexible Artificial Intelligence Machine LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Statistics, Computer Science, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, research labs, startups; focus on developing AI modelsBusiness environments, consulting firms; focus on data analysis and insights
Industry UsageAI development, automation, machine learning applicationsData analysis, predictive modeling, business intelligence

Flexible Artificial Intelligence Machine Learning professionals focus on developing adaptable AI systems and models, often working on complex algorithms and automation. Data Scientists analyze data to extract insights and build predictive models. While both roles require strong technical skills and knowledge of ML, AI specialists emphasize creating flexible AI solutions, whereas Data Scientists focus on interpreting data for strategic decisions.

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:

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

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

Flexible Artificial Intelligence Machine Learning jobs near you

System Analyst Artificial Intelligence/Machine Learning

DANE LLC

Virginia, MN • On-site

$80 - $100/hr

Other

Posted 2 days ago

New

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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