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Ai Model Training Jobs in Minnesota (NOW HIRING)

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Build and maintain end-to-end ML pipelines including data preprocessing, model training, evaluation, and deployment Generative AI & LLM Engineering * Develop and fine-tune LLM-based applications ...

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

Build and maintain end-to-end ML pipelines including data preprocessing, model training, evaluation, and deployment Generative AI & LLM Engineering * Develop and fine-tune LLM-based applications ...

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Ai Model Training information

What are the key skills and qualifications needed to thrive in the AI model training position, and why are they important?

To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.

What are the typical work responsibilities of someone in AI model training?

Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.

What is an AI model training?

An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.

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

The most popular types of Ai Model Training jobs in Minnesota are:

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

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

What cities in Minnesota are hiring for Ai Model Training jobs?

Cities in Minnesota with the most Ai Model Training job openings:

Infographic showing various Ai Model Training job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Senior AI Solution Architect

smart folks inc

Minneapolis, MN • On-site

Full-time

Re-posted 4 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

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