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Ai Model Jobs in Michigan (NOW HIRING)

Responsible for data preprocessing, model selection, training, validation, and deployment. * Stays up-to-date with the latest AI research and industry trends to ensure the organization remains at the ...

AI Engineer

Detroit, MI · 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 ...

AI Engineer

Grand Rapids, MI · 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 ...

Ensure models are scalable, reliable, and integrated into production systems * Agentic AI Development * Design and develop LLM‑powered workflows and agentic systems that help users complete complex ...

Design and implement validation frameworks for deep learning models (perception, NLP, generative AI) deployed in automotive systems, covering accuracy, robustness, latency, and safety metrics.

Business Development Associate

Rochester, MI · On-site

$41K - $56K/yr

Altitude AI is a trusted leader in Industrial AI. Their US-based team partners with controls and robot engineers worldwide, leveraging a proprietary AI model to rapidly design and generate complete ...

Business Development Associate

Rochester, MI · On-site

$41K - $56K/yr

Altitude AI is a trusted leader in Industrial AI. Their US-based team partners with controls and robot engineers worldwide, leveraging a proprietary AI model to rapidly design and generate complete ...

Medical Writing Manager

Warren, MI · Remote

$50 - $80/hr

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

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

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

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

Showing results 41-60

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 Michigan?

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

What cities in Michigan are hiring for Ai Model jobs?

Cities in Michigan with the most Ai Model job openings:

Infographic showing various Ai Model job openings in Michigan as of August 2026, with employment types broken down into 65% Full Time, 19% Part Time, and 16% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Need Local

No restrictions on visa

AI Specialist is the title

In person interview however being a government organization it takes a while to get those set up

Location: onsite in Pontiac, MI

Duration: 6+ mo

  • The AI Specialist designs, develops, and deploys artificial intelligence and machine learning solutions to enhance business processes, improve decision-making, and drive innovation.
  • Collaborates with cross-functional teams to identify use cases, gather requirements, and implement AI-powered applications.
  • Responsible for data preprocessing, model selection, training, validation, and deployment.
  • Stays up-to-date with the latest AI research and industry trends to ensure the organization remains at the forefront of AI adoption.
  • Specifically:
  • The consultant should be able to create a solution that will enable law enforcement personnel and authorized users to query CLEMIS data using everyday language instead of complex SQL queries or traditional search interfaces
  • The consultant should have experience (at least 2-3 years' worth) with Public Safety applications like CAD, RMS and FRMS - should be able to fully understand the different datasets and their relationships
  • Initially we would expect the search to use current CLEMIS' search datasets
    • People (including aliases)
    • Identifiers
    • Incidents/Offenses
    • The future plan is to use the RMS (Records Management System) data for predictive analysis
  • Extract data from on premise Oracle/SQL Server DBs to AWS cloud
  • Transforms and if needed masks sensitive information (CJIS, PII, etc.)
  • Stores data in optimized formats for AI/ML workloads (in a Vector DB like PineCone)
  • Enables advanced RAG capabilities with AWS Bedrock
  • Use an industry standard AI Model like Claude or AWS Titan/Nova
  • We expect the entire solution to be hosted in the AWS Cloud

Experience Level: Senior

Environment: Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases, data visualization tools (Tableau, PowerBI)