1

Ai Model Jobs in Minnesota (NOW HIRING)

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the ... an AI-enabled future. * Industry Competitive Benefits: We offer comprehensive benefit plans to ...

Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the ... an AI-enabled future. * Industry Competitive Benefits: We offer comprehensive benefit plans to ...

Senior Software Engineer, AI

Eagan, MN

$124K - $164K/yr

Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles ... an AI-enabled future. * Industry Competitive Benefits: We offer comprehensive benefit plans to ...

Senior Software Engineer, AI

Eagan, MN · On-site

$110 - $204/hr

Are you passionate about building AI-driven software that transforms how professionals work? Join ... Hybrid Work Model: We've adopted a flexible hybrid working environment for our office‑based roles ...

Senior Software Engineer, AI

Eagan, MN · On-site

$124K - $164K/yr

Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles ... an AI-enabled future. * Industry Competitive Benefits: We offer comprehensive benefit plans to ...

Sr AI Engineer

Minneapolis, MN

$109K - $149K/yr

... model-based systems, integrate them into products, and deploy to production Experiment with and apply emerging AI tools (e.g., LLM frameworks, agents, generative models, code copilots) Build full ...

AI Engineer

Minneapolis, MN · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Head of AI Delivery

Minneapolis, MN · On-site

$221K/yr

The leader will build strong partnerships across the enterprise, industrialize delivery models, and help position U.S. Bank as an AI-enabled financial institution delivering secure, scalable, and ...

Head of AI Delivery

Minneapolis, MN · On-site

$221K/yr

The leader will build strong partnerships across the enterprise, industrialize delivery models, and help position U.S. Bank as an AI-enabled financial institution delivering secure, scalable, and ...

next page

Showing results 1-20

Ai Model information

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

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

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

What cities in Minnesota are hiring for Ai Model jobs?

Cities in Minnesota with the most Ai Model job openings:

Infographic showing various Ai Model job openings in Minnesota as of August 2026, with employment types broken down into 67% Full Time, 18% Part Time, and 15% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Senior AI Solution Architect

smart folks inc

Minneapolis, MN • On-site

Full-time

Re-posted 13 days ago


Job description

Job Title: Senior AI Solution Architect

Location: Minneapolis, MN

Duration: Full-time

15+ years in software engineering, AI/ML solutions, Cloud modernization with strong presentation and customer engagement skills.

Role Overview: As a Senior AI Solution consultant, you will lead the design and implementation of cutting-edge AI solutions across diverse domains. You will collaborate with cross-functional teams to architect scalable, secure, and high-performance AI systems leveraging advanced machine learning, deep learning, and generative AI technologies. Able to work closely with customer to engage and win large AI related business across multiple LOBs.

Key Responsibilities:

  • Customer engagement: Able to connect with customers to understand business need, drive proposal presentation and win the same for Wipro
  • Solution Architecture: Understand and drive high level solutioning for AI systems, including data preprocessing data pipelines, model training, deployment, and integration with enterprise applications.
  • Generative AI & LLMs: Architect high level of solutions using Large Language Models (LLMs), multi-modal AI, and Retrieval-Augmented Generation (RAG).
  • Performance Optimization: Optimize AI models for speed, scalability, and cost efficiency using frameworks like DeepSpeed, PyTorch Lightning, and Hugging Face Accelerate.
  • Agentic AI: Drive autonomous AI agents leveraging frameworks like AutoGen, LangGraph, and Declarative Copilots.
  • Collaboration: Work with hyperscalers (AWS, Azure, GCP, IBM) to scale solutions from POC to production.
  • Domain Expertise: Deliver AI solutions tailored for healthcare domain.  — This is key

Must have Skills:

  • Programming: Python (expert), OOP, Data Structures & Algorithms
  • Design Patterns and Software Architecture
  • Python Libraries: NumPy, SciPy, Pandas, Matplotlib
  • AI Frameworks: PyTorch (preferred), TensorFlow, Scikit-learn
  • ML/DL fundamentals
  • Microservices, Containers (Docker), basic Kubernetes
  • Tools: Jupyter Notebook, GitHub, GitHub Copilot, JIRA, CI/CD, DevOps
  • Strong problem-solving and debugging skills

Advanced AI Skills:

  • LLM/AI Model Training: DeepSpeed, PyTorch FSDP, Hugging Face PEFT, LoRA/QLoRA
  • Evaluation Metrics for LLMs
  • Distributed Training: Ray (Core, Data, Train, Tune) 
  • PyTorch Ecosystem: PyTorch Lightning, Hugging Face Transformers, Accelerate
  • Additional Frameworks: TensorFlow, Keras, XGBoost
  • Agentic AI Frameworks: AutoGen, LangGraph, Declarative Copilots

Specialties:

  • AI System Design
  • Nvidia CUDA/HPC, Intel OpenVINO/OneAPI 
  • AI Model Performance Optimization
  • Responsible AI

Cloud AI Platforms:

  • AWS Bedrock, GCP Vertex AI, Azure OpenAI, IBM Watsonx 

Top AI Models:

  • Llama, Gemini, GPT, Claude

Qualifications:

  • Bachelor’s/Master’s in Computer Science, AI/ML, or related field
  • Proven experience in architecting enterprise-scale AI solutions
  • Strong leadership and communication skills

Best Regards,

Srinivas

Sr. US IT Recruiter

Email: srinivas@smartfolksinc.com


Smart Folks logo

About Smart Folks

Sourced by ZipRecruiter

Smart Folks Inc. (SFI) is a global IT Staff Augmentation and Consulting Services that discovers handpicked smart talent and routes them to the right path. Smart Folks Inc. was founded in 2011 and is headquartered in McKinney, Texas. We have global operations with localized detail to meet the high caliber needs of our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

McKinney, TX, US

Year founded

2011

Social media