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Ai Model Jobs in Ohio (NOW HIRING)

Job Summary We are seeking a skilled Python AI Engineer with strong expertise in developing, fine-tuning, and deploying AI models leveraging Azure OpenAI services. The ideal candidate will design ...

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:

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:

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:

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Ai Model information

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 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 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.

How to get into AI modeling?

To become an AI modeler, develop strong skills in programming languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain experience with data preprocessing and model training. A background in computer science, mathematics, or related fields, along with relevant certifications or courses, can also improve your prospects.
What are popular job titles related to Ai Model jobs in Ohio? For Ai Model jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Ai Model jobs? Cities in Ohio with the most Ai Model job openings:
Infographic showing various Ai Model job openings in Ohio as of August 2026, with employment types broken down into 3% Internship, 63% Full Time, 13% Part Time, and 21% Contract. Highlights an 72% In-person, and 28% Remote job distribution.

$125 - $145/hr

Other

Medical, Dental, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Overview

The AI Engineer III at AmTrust is a senior-level role designed for experienced professionals with a strong background in AI model development, software engineering, and project management. This position requires a deep understanding of machine learning, deep learning, and software development principles. The AI Engineer III will lead the design, development, and optimization of AI models and software applications, ensuring they meet business requirements and performance standards.

Responsibilities
  • AI Model Development: Lead the design, development, and optimization of advanced AI models to improve performance and accuracy. Utilize frameworks such as TensorFlow and PyTorch.
  • Software Engineering: Develop and maintain software applications and APIs using languages such as Python and C#. Ensure code quality through refactoring and code reviews.
  • Project Management: Manage AI and software projects from inception to completion, including enhancements and bug fixes. Interface with business analysts to discuss timelines and clarify requirements.
  • Data Management: Develop and optimize complex data queries for databases and domain objects. Ensure data integrity and accuracy.
  • Collaboration: Work closely with cross-functional teams, including development, marketing, IT, and customer service, to solve AI design and development problems.
  • Documentation: Write and maintain technical documentation for AI models, software applications, and project workflows.
  • Mentorship: Provide guidance and mentorship to junior AI engineers and software developers. Conduct training sessions and share best practices.
Qualifications
  • Education: Bachelorโ€™s Degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Experience: Experience in developing AI models, software applications, and APIs. Proven track record of managing and delivering complex projects.
  • Technical Skills:
    • Advanced knowledge of machine learning and deep learning algorithms.
    • Proficiency in Python (TensorFlow, PyTorch) and C#.
    • Strong understanding of SQL and NoSQL databases.
    • Familiarity with cloud platforms such as Azure or AWS.
  • Soft Skills:
    • Excellent problem-solving and analytical skills.
    • Strong communication and interpersonal skills.
    • Ability to work independently and as part of a team.
    • Strong organizational and project management skills.

Preferred:

  • Advanced Experience: Experience in AI model and software design/development at an advanced level.
  • Cloud Platforms: Intermediate to advanced experience using Azure DevOps and API Management gateways.
  • Technical Documentation: Proven experience in writing comprehensive technical documentation.
  • Leadership: Demonstrated ability to lead and mentor a team of engineers.

The expected salary range for this role is $125K-$145K/year.

What We Offer

AmTrust Financial Services offers a competitive compensation package and excellent career advancement opportunities. Our benefits include: Medical & Dental Plans, Life Insurance, including eligible spouses & children, Health Care Flexible Spending, Dependent Care, 401k Savings Plans, Paid Time Off.

AmTrust strives to create a diverse and inclusive culture where thoughts and ideas of all employees are appreciated and respected. This concept encompasses but is not limited to human differences with regard to race, ethnicity, gender, sexual orientation, culture, religion or disabilities.

AmTrust values excellence and recognizes that by embracing the diverse backgrounds, skills, and perspectives of its workforce, it will sustain a competitive advantage and remain an employer of choice. Diversity is a business imperative, enabling us to attract, retain and develop the best talent available. We see diversity as more than just policies and practices. It is an integral part of who we are as a company, how we operate and how we see our future.

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