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Python Ai Jobs in Minnesota (NOW HIRING)

Python Tutor

Saint Paul, MN · Remote

$18 - $40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Python Tutor

Minneapolis, MN · Remote

$18 - $40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Python Tutor

Edina, MN · Remote

$18 - $40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Join the Ground Floor of a Big Idea sparQ is a new AI-powered productivity suite for small ... We're currently looking for a motivated, entry-level Python developer to join us at the earliest ...

Full Stack Python/React Developer

Minneapolis, MN

$70 - $96/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate AI/ML models and platforms into enterprise solutions * Develop automation solutions for ... Strong Python development experience with the ability to build and deploy end-to-end solutions

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ...

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Showing results 1-20

Python Ai information

See Minnesota salary details

$12

$57

$84

How much do python ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python ai in Minnesota is $57.41, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $65.19 per hour, depending on experience, location, and employer.

What is a Python AI?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

What does a Python AI do?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.

What skills and qualifications are needed for a Python AI?

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

Can you do AI with Python?

Python AI refers to roles involving the development and implementation of artificial intelligence using Python programming. These jobs typically require knowledge of machine learning libraries like TensorFlow or PyTorch, data analysis skills, and experience with algorithms. Python's simplicity and extensive ecosystem make it a popular choice for AI development in various industries.

What are the most commonly searched types of Python Ai jobs in Minnesota?

The most popular types of Python Ai jobs in Minnesota are:

What are popular job titles related to Python Ai jobs in Minnesota?

For Python Ai jobs in Minnesota, the most frequently searched job titles are:

Infographic showing various Python Ai job openings in Minnesota as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $119,422 per year, or $57.4 per hour.

Software Engineer-Python/VueJS with AI

Transcend IT Solutions

Minnesota City, MN • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Position Tittle: Python/VueJS with AI-Software Engineer
Location: 100% remote
Duration: Long Term
 
Job Details:
 
We are seeking a high-caliber Senior Software Engineer to join a team building customer-centric solutions for the business. This role is designed for a top-tier engineer who combines deep technical expertise with strong product intuition and business acumen. You will tackle ambiguous challenges, rapidly prototype solutions directly with stakeholders, and architect scalable, secure systems. You operate with high autonomy, acting as the critical technical bridge that turns business objectives into high-performing software.
 
Enterprise Req Skills
 
Python,vue.js,aws,google cloud platform,terraform,api,Development,Agile,Software development,Cloud,Linux
 
Top Skills Details
Required Qualifications
 
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 9+ years of experience designing, supporting, and deploying modern, enterprise-grade software systems.
• Skilled at using agentic AI tools throughout the SDLC.
• Hands-on expertise with technologies such as Python, Vue.js, AWS/Google Cloud Platform cloud platforms, Terraform, APIs, and cloud-native architecture patterns.
• Proven ability to interact directly with business stakeholders, build trust, and operate autonomously in fast-paced environments.
 
External Communities Job Description
 
We are seeking a high-caliber Senior Software Engineer to join a team building customer-centric solutions for the business.
 
EVP
Work on cutting edge technology that will bring AI efficiencies to the business
 
Additional Skills Tags
Software development,Cloud,Linux
 
Additional Skills & Qualifications
 
1. Engineering & System Design
• Architect in Ambiguity: Translate loosely defined business problems into clean, robust architectures while anticipating edge cases.
• Rapid Prototyping[GB1.1][SC1.2]: Where applicable, build functional prototypes with stakeholders to validate ideas instantly and accelerate the feedback loop.
• Full-Stack Delivery: Own features end-to-end across services, data, and UI, making pragmatic technology choices and avoiding unnecessary complexity.
 
2. Engineering Productivity with AI[GB2.1][SC2.2]
• AI-Assisted Development: Use agentic AI tools throughout the SDLC to move faster, while maintaining full accountability for code quality, correctness, and security.
• Feedback Loops for Coding Agents: Design quality gates, spec-driven workflows, and deterministic checks that catch agent errors before humans do.
• Critical Adoption: Evaluate AI tools and patterns critically, adopting what improves the team\''''s output and discarding what doesn\''''t.
 
3. Reliability & DevSecOps
• Security-First Mindset: Embed security and compliance into the core of the development lifecycle, proactively mitigating vulnerabilities through secure design.
• Production Standards: Build well-tested, maintainable software. Implement CI/CD pipelines to ensure systems are resilient, scalable, and optimized for an exceptional end-user experience.
• Operational Readiness: [GB3.1]Make production behavior measurable, debuggable, and recoverable by building observability, alerting, runbooks, and recovery paths into systems from the start.
 
4. Execution & Business Ownership
• Drive Outcomes: Take ownership of delivering meaningful business results, managing scope responsibly, and communicating technical risks early.
• Technical Translation: Partner closely with Product Managers and business leaders. Articulate complex architectural decisions and tradeoffs in clear, outcome-oriented terms.
• Partnering Across Functions: [GB4.1][GB4.2]Engage security, risk, compliance, and platform teams