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 ...
Quick apply
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 ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Lead Software Engineer, AI
Eagan, MN · Hybrid
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 ...
Lead Software Engineer, AI
Eagan, MN · Hybrid
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 ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Lead Software Engineer, AI
Eagan, MN · Hybrid
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 ...
Lead Software Engineer, AI
Eagan, MN · Hybrid
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 ...
Lead Software Engineer, AI
Eagan, MN · On-site
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 ...
Lead Software Engineer, AI
Eagan, MN · On-site
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 ...
AI Engineer
$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 ...
New
AI Engineer
$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 ...
New
Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and ...
Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, 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 ...
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 ...
Establish and scale governance mechanisms (e.g., model inventory, approval workflows, controls, auditability, monitoring) that support safe and compliant AI deployments. Portfolio Shaping, Value ...
Establish and scale governance mechanisms (e.g., model inventory, approval workflows, controls, auditability, monitoring) that support safe and compliant AI deployments. Portfolio Shaping, Value ...
This roleis responsible forbuilding, customizing, and maintaining products that provide rulesets governing AI Models and AI Agents. The Engineering Director oversees a team of engineers, ensuring ...
This roleis responsible forbuilding, customizing, and maintaining products that provide rulesets governing AI Models and AI Agents. The Engineering Director oversees a team of engineers, ensuring ...
This roleis responsible forbuilding, customizing, and maintaining products that provide rulesets governing AI Models and AI Agents. The Engineering Director oversees a team of engineers, ensuring ...
This roleis responsible forbuilding, customizing, and maintaining products that provide rulesets governing AI Models and AI Agents. The Engineering Director oversees a team of engineers, ensuring ...
Principal AI Architect
Saint Paul, MN · Hybrid
Work within an agile global resource model, planning for and delivering against initiatives Minimum ... Enterprise Architecture: AI + data ecosystem design, multi-agent orchestration (LangChain ...
Principal AI Architect
Saint Paul, MN · Hybrid
Work within an agile global resource model, planning for and delivering against initiatives Minimum ... Enterprise Architecture: AI + data ecosystem design, multi-agent orchestration (LangChain ...
M&A Attorney - AI Trainer - Remote
Minneapolis, MN · Remote
$90 - $130/hr
In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...
M&A Attorney - AI Trainer - Remote
Minneapolis, MN · Remote
$90 - $130/hr
In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...
Director, Software Engineering - AI Platform and Full Stack Engineering - Hybrid in MN
Minnetonka, MN · On-site +1
$258K/yr
Establish enterprise guardrails for open-source usage, AI models, and data governance * Partner with product and architecture leaders to align technical strategy with business outcomes * Delivery ...
Director, Software Engineering - AI Platform and Full Stack Engineering - Hybrid in MN
Minnetonka, MN · On-site +1
$258K/yr
Establish enterprise guardrails for open-source usage, AI models, and data governance * Partner with product and architecture leaders to align technical strategy with business outcomes * Delivery ...
M&A Attorney - AI Trainer - Remote
Rochester, MN · Remote
$90 - $130/hr
In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...
M&A Attorney - AI Trainer - Remote
Rochester, MN · Remote
$90 - $130/hr
In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...
Director, Software Engineering - AI Platform and Full Stack Engineering - Hybrid in MN
Minnetonka, MN · On-site
$258K/yr
Establish enterprise guardrails for open-source usage, AI models, and data governance * Partner with product and architecture leaders to align technical strategy with business outcomes * Delivery ...
Director, Software Engineering - AI Platform and Full Stack Engineering - Hybrid in MN
Minnetonka, MN · On-site
$258K/yr
Establish enterprise guardrails for open-source usage, AI models, and data governance * Partner with product and architecture leaders to align technical strategy with business outcomes * Delivery ...
Ai Model information
What job makes AI models?
Data scientists, machine learning engineers, and AI researchers are common jobs that develop and build AI models. These roles involve designing algorithms, training models using large datasets, and utilizing tools like Python, TensorFlow, or PyTorch. Strong programming skills and knowledge of statistics are essential for creating effective AI models.
How to become an AI model?
To become an AI model developer, you should gain a strong foundation in programming languages like Python, study machine learning and deep learning concepts, and work with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining relevant certifications can also enhance your skills and employability in this field.
What is the difference between Ai Model vs Data Scientist?
| Aspect | Ai Model | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of machine learning, programming skills, sometimes certifications in AI/ML | Degree in data science, statistics, computer science; certifications beneficial |
| Work Environment | Focus on developing, training, and deploying AI models | Data analysis, interpretation, and visualization; often collaborates with AI teams |
| Industry Usage | Used in AI development, automation, and predictive modeling | Applied 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.
How much do AI models get paid?
AI model developers and researchers typically earn between $80,000 and $150,000 annually, depending on experience, location, and the complexity of the models they work on. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, often exceeding $200,000. Compensation may also include bonuses, stock options, and benefits based on the employer and industry sector.
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 are AI models?
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 is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms, with compensation reflecting expertise and impact.
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 job categories do people searching Ai Model jobs in Minnesota look for? The top searched job categories for Ai Model jobs in Minnesota are:
What cities in Minnesota are hiring for Ai Model jobs? Cities in Minnesota with the most Ai Model job openings:
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
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