Understand and drive high level solutioning for AI systems, including data preprocessing data pipelines, model training, deployment, and integration with enterprise applications. * Generative AI ...
Quick apply
Understand and drive high level solutioning for AI systems, including data preprocessing data pipelines, model training, deployment, and integration with enterprise applications. * Generative AI ...
AI Trainer - Microbiology Expert
Minneapolis, MN · Remote
$70 - $90/hr
... 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 Trainer - Microbiology Expert
Minneapolis, MN · Remote
$70 - $90/hr
... 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 Trainer - Microbiology Expert
Saint Paul, MN · Remote
$70 - $90/hr
... 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 Trainer - Microbiology Expert
Saint Paul, MN · Remote
$70 - $90/hr
... 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 Trainer - Microbiology Expert
Rochester, MN · Remote
$70 - $90/hr
... 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 Trainer - Microbiology Expert
Rochester, MN · Remote
$70 - $90/hr
... 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 ...
Senior AI/ML Engineer - Remote
Minnetonka, MN · On-site +1
$91K - $163K/yr
Develop automation frameworks for model training, testing, validation, and monitoring (MLOps) * Collaborate with data science, engineering, product, and business teams to deliver AI-driven solutions
Senior AI/ML Engineer - Remote
Minnetonka, MN · On-site +1
$91K - $163K/yr
Develop automation frameworks for model training, testing, validation, and monitoring (MLOps) * Collaborate with data science, engineering, product, and business teams to deliver AI-driven solutions
Senior AI/ML Engineer - Remote
Minnetonka, MN · On-site +1
$91K - $163K/yr
Develop automation frameworks for model training, testing, validation, and monitoring (MLOps) * Collaborate with data science, engineering, product, and business teams to deliver AI-driven solutions
Senior AI/ML Engineer - Remote
Minnetonka, MN · On-site +1
$91K - $163K/yr
Develop automation frameworks for model training, testing, validation, and monitoring (MLOps) * Collaborate with data science, engineering, product, and business teams to deliver AI-driven solutions
National Medical Director, Clinical AI Innovation and Performance - Remote
Minnetonka, MN · On-site
$387 - $580/hr
The Medical Director, Clinical AI Innovation and Performance is a senior physician leader ... The MD will establish efficient and consistent annotation, training and testing models to ensure ...
National Medical Director, Clinical AI Innovation and Performance - Remote
Minnetonka, MN · On-site
$387 - $580/hr
The Medical Director, Clinical AI Innovation and Performance is a senior physician leader ... The MD will establish efficient and consistent annotation, training and testing models to ensure ...
National Medical Director, Clinical AI Innovation and Performance - Remote
Minnetonka, MN · On-site +1
$81K - $111K/yr
The Medical Director, Clinical AI Innovation and Performance is a senior physician leader ... The MD will establish efficient and consistent annotation, training and testing models to ensure ...
National Medical Director, Clinical AI Innovation and Performance - Remote
Minnetonka, MN · On-site +1
$81K - $111K/yr
The Medical Director, Clinical AI Innovation and Performance is a senior physician leader ... The MD will establish efficient and consistent annotation, training and testing models to ensure ...
National Medical Director, Clinical AI Innovation and Performance - Remote
Minnetonka, MN · On-site
$387 - $580/hr
The Medical Director, Clinical AI Innovation and Performance is a senior physician leader ... The MD will establish efficient and consistent annotation, training and testing models to ensure ...
National Medical Director, Clinical AI Innovation and Performance - Remote
Minnetonka, MN · On-site
$387 - $580/hr
The Medical Director, Clinical AI Innovation and Performance is a senior physician leader ... The MD will establish efficient and consistent annotation, training and testing models to ensure ...
National Medical Director, Clinical AI Innovation and Performance - Remote
Minnetonka, MN · On-site +1
$81K - $111K/yr
The Medical Director, Clinical AI Innovation and Performance is a senior physician leader ... The MD will establish efficient and consistent annotation, training and testing models to ensure ...
National Medical Director, Clinical AI Innovation and Performance - Remote
Minnetonka, MN · On-site +1
$81K - $111K/yr
The Medical Director, Clinical AI Innovation and Performance is a senior physician leader ... The MD will establish efficient and consistent annotation, training and testing models to ensure ...
National Medical Director, Clinical AI Innovation and Performance - Remote
Minnetonka, MN · On-site
$387 - $580/hr
The Medical Director, Clinical AI Innovation and Performance is a senior physician leader ... The MD will establish efficient and consistent annotation, training and testing models to ensure ...
National Medical Director, Clinical AI Innovation and Performance - Remote
Minnetonka, MN · On-site
$387 - $580/hr
The Medical Director, Clinical AI Innovation and Performance is a senior physician leader ... The MD will establish efficient and consistent annotation, training and testing models to ensure ...
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 · 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 ...
Manage feature engineering , model training, evaluation, and deployment workflows via MLflow or SageMaker * Lead the architecture of scalable AI/ML pipelines * Collaborate with Data Engineers, MLOps ...
Quick apply
Manage feature engineering , model training, evaluation, and deployment workflows via MLflow or SageMaker * Lead the architecture of scalable AI/ML pipelines * Collaborate with Data Engineers, MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Ai Model Training information
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 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 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.
Are there any legit AI model training jobs?
Yes, legitimate AI model training jobs are available in the tech industry, often requiring skills in machine learning, programming (such as Python), and data annotation. These roles can be found at technology companies, research institutions, and through reputable job boards, and may involve tasks like data labeling, model tuning, and algorithm development.
Can you get paid to train AI models?
Yes, AI model training is a paid role that involves developing and fine-tuning machine learning algorithms, often requiring skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and the complexity of the models being trained.
How do I become an AI model trainer?
To become an AI model trainer, you typically need a strong background in computer science, machine learning, or data science, often with a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and understanding of data preprocessing are essential. Gaining hands-on experience through projects or internships can also improve your prospects in this role.
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 job categories do people searching Ai Model Training jobs in Minnesota look for?
The top searched job categories for Ai Model Training jobs in Minnesota are:
What cities in Minnesota are hiring for Ai Model Training jobs?
Cities in Minnesota with the most Ai Model Training 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