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Python Ai Jobs in Minnesota (NOW HIRING)

Strong programming experience in Python and Java (Spring Boot). * Hands-on experience with agentic AI frameworks such as LangChain and LangGraph. * Expertise in designing and implementing RAG ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

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How much do python ai jobs pay per hour?

As of Jun 20, 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.

Which 3 jobs will survive AI?

For a Python AI developer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist, such as AI research scientist, data scientist, and machine learning engineer. These jobs involve designing, interpreting, and improving AI systems, often requiring specialized knowledge, critical thinking, and domain expertise that are difficult for AI to fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. Such roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms with competitive compensation packages.

What is a Python AI job?

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 are the key skills and qualifications needed to thrive in the Python Ai position, and why are they important?

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.

Will AI replace Python coders?

AI tools can automate certain coding tasks, but Python coders are still essential for designing, developing, and maintaining complex software systems. AI may augment programming work, but human expertise remains critical for problem-solving, creativity, and understanding project requirements.

What are the typical daily responsibilities of a Python AI professional?

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.

Can you do AI with Python?

Python AI refers to developing artificial intelligence applications using the Python programming language, which is widely used in the field due to its simplicity and extensive libraries like TensorFlow, PyTorch, and scikit-learn. AI development with Python involves tasks such as machine learning, deep learning, and data analysis, often requiring knowledge of algorithms, data structures, and programming skills. Many AI roles for Python developers focus on model building, data processing, and deploying AI solutions 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:
What job categories do people searching Python Ai jobs in Minnesota look for? The top searched job categories for Python Ai jobs in Minnesota are:
Infographic showing various Python Ai job openings in Minnesota as of June 2026, with employment types broken down into 40% Full Time, 33% Part Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,422 per year, or $57.4 per hour.

Lead Databricks Engineer with Python (Only local to MN)

Sovereign Technologies

Eagan, MN • Hybrid

Other

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


Job description

Lead Databricks Engineer (Contract-to-Hire)

Location: Eagan, MN (Hybrid – 2 days/week onsite)
Duration: 3–6 Months Contract-to-Hire
Start: ASAP

< data-start=168 data-end=184>Job Summary

We are seeking a Senior/Lead Data Engineer to modernize and enhance critical enterprise data pipelines by migrating legacy SAS workflows to Python/PySpark on Databricks. This role will initially work alongside SMEs during knowledge transfer and then assume ownership of a high-impact data platform supporting healthcare analytics and reporting.

< data-start=531 data-end=551>Required Skills
  • Strong Data Engineering and application development experience
  • Expert-level Python development and scripting
  • Hands-on experience with PySpark and Databricks
  • Experience building and maintaining large-scale distributed data pipelines
  • Strong SQL skills for complex data extraction, transformation, and optimization
  • Experience with Databricks notebooks, workflows, and cluster management
  • AWS experience with S3, Lambda, Glue, and EC2
  • Experience scheduling, automating, and monitoring data pipelines
  • Git/version control experience in collaborative development environments
  • Experience working with Agile tools, epics, and issue management
< data-start=1206 data-end=1223>Nice to Have
  • AI/ML, Generative AI, or Automation experience
  • Healthcare or HEDIS data experience
  • Lead or Principal-level Data Engineering experience
< data-start=1366 data-end=1391>Key Responsibilities
  • Migrate SAS-based pipelines to Python/PySpark on Databricks
  • Design, develop, and optimize scalable data processing solutions
  • Own and support critical enterprise data pipelines
  • Automate workflows and improve operational efficiency
  • Collaborate with business stakeholders, SMEs, and analytics teams
  • Ensure data quality, reliability, and performance across the platform
Must-Have Skills
  1. Python Development
  2. PySpark
  3. Databricks
  4. SQL
  5. AWS (S3, Glue, Lambda, EC2)
  6. Data Pipeline Development
  7. Distributed Data Processing
  8. Git/Version Control