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Ai Model Jobs in Delaware (NOW HIRING)

Whiterabbit.ai

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ...

Whiterabbit.ai

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ...

Whiterabbit.ai

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ...

Athena LLC

You'll experiment with model parameters and training data to improve performance. * Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent ...

Athenago

AI Engineering Intern

Wilmington, DE

You'll experiment with model parameters and training data to improve performance. * Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent ...

DijavAI

AI Security Engineer

Dover, DE · On-site

$140 - $190/hr

Collaborate with ML teams on secure model deployment * Perform penetration testing What We're Looking For * 8+ years in cybersecurity or AI security * Experience with ML model security * Knowledge of ...

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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 Delaware?

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

What job categories do people searching Ai Model jobs in Delaware look for?

The top searched job categories for Ai Model jobs in Delaware are:

What cities in Delaware are hiring for Ai Model jobs?

Cities in Delaware with the most Ai Model job openings:

Ai Model jobs near you
Infographic showing various Ai Model job openings in Delaware as of August 2026, with employment types broken down into 2% Internship, 66% Full Time, 15% Part Time, and 17% Contract. Highlights an 78% In-person, and 22% Remote job distribution.

Research Software Engineer, First State AI Institute

University of Delaware

Newark, DE • On-site

$200K/yr

Full-time

Re-posted 2 days ago

University Of Delaware rating

5.7

Company rating: 5.7 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

581st of 618 rated colleges and universities

Job description

Research Software Engineer, First State AI Institute

Apply now Job no: 501974
College / VP Area: Research Office
Work type: Staff
Location: Newark, DE
Categories: Information Technology, Full Time

Pay Grade:

Context of the job:

We are seeking a Research Software Engineer (RSE) to contribute to the development and implementation of AI models, research frameworks, and computational tools with a goal to advance science. This role is ideal for individuals with a passion for AI research, strong programming skills, and a desire to work at the intersection of engineering and scientific discovery. The role will also provide teaching and training opportunities allowing the RSE to balance their time and focus between technical and professional development.

The RSE will be part of the recently established UD's First State AI Institute (please check out the operational AI Center of Excellence https://sites.udel.edu/ai/ website to see some of the on-going activities) that aims to drive advancements in machine learning, deep learning, AI and data-driven intelligence. The Research Software Engineer will collaborate with interdisciplinary teams on campus to develop innovative AI solutions that have real-world impact.

The position includes benefits and competitive salary based on qualifications.

Responsibilities:

 Software Development

  • Develop, optimize, and maintain software for AI research projects.
  • Collaborate with researchers to implement state-of-the-art machine learning models.
  • Work with large-scale datasets, designing efficient data processing pipelines.
  • Support the deployment and scaling of AI models for real-world applications.
  • Contribute to open-source AI projects and research publications.
  • Stay up to date with the latest advancements in AI and machine learning.
  • Be an advocate to maintain and improve computing infrastructure for code development
  • Create comprehensive documentation of any software developed
  • Complete user manuals for knowledge transfer, and ensure smooth handover with clear communication at the conclusion of the RSE software development

Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 3+ years of Python experience with ML libraries (TensorFlow, PyTorch, scikit-learn), including optimization and deployment in production environments.
  • Strong grasp of AI/ML fundamentals including advanced concepts in model architectures, hyperparameter tuning, and real-world problem-solving
  • Proficiency in software development best practices (version control, testing, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient and scalable model deployment.
  • Skilled in working with medium-large scale multicore and heterogeneous (CPU + GPU) clusters.
  • Excellent verbal and written communication skills.

Preferred qualifications

  • Master's degree in a related field.
  • Experience with deep learning model training, evaluation, and distributed computing.
  • Contributions to AI research and open-source projects.
  • Strong collaboration skills across scientific disciplines.
  • Leadership or project management experience.
  • Ability to design and teach AI modules or training sessions.
  • Experience presenting research in publications, seminars, or conferences.

Notice of Non-Discrimination and Equal Opportunity
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VI and VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.

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