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Ai Model Jobs in Texas (NOW HIRING)

PB consulting

Generative AI Engineer

Grapevine, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

PB consulting

Generative AI Engineer

Carrollton, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

PB consulting

Generative AI Engineer

Bedford, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

PB consulting

Generative AI Engineer

Colleyville, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

PB consulting

Generative AI Engineer

Irving, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

PB consulting

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

PB consulting

Generative AI Engineer

Southlake, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

PB consulting

Generative AI Engineer

Coppell, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

PB consulting

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

PB consulting

Generative AI Engineer

Duncanville, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

PB consulting

Generative AI Engineer

Hurst, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required ...

PB consulting

Generative AI Engineer

Grapevine, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

PB consulting

Generative AI Engineer

Dallas, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine ...

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Showing results 21-40

All JobsAi Model JobsAi Model Jobs in Texas

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 Texas?

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

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

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

What cities in Texas are hiring for Ai Model jobs?

Cities in Texas with the most Ai Model job openings:

Ai Model jobs near you
Infographic showing various Ai Model job openings in Texas as of August 2026, with employment types broken down into 70% Full Time, 16% Part Time, and 14% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Generative AI Engineer

PB consulting

Grapevine, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and optimizing generative AI applications using open-source models and modern AI frameworks.

Roles and Responsibilities

  • Design, develop, and implement advanced AI and Generative AI solutions to address complex business requirements.

  • Collaborate with engineers, researchers, product managers, and business stakeholders to translate business needs into scalable AI solutions.

  • Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models while ensuring data quality and integrity.

  • Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

  • Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and text-to-image generation techniques.

  • Evaluate, compare, and optimize AI model architectures, hyperparameters, and performance metrics.

  • Apply responsible AI practices by identifying model bias, improving fairness, and ensuring ethical AI development.

  • Develop scalable AI solutions that integrate with enterprise applications and cloud platforms.

  • Participate in model testing, deployment, monitoring, and continuous improvement.

  • Contribute to AI best practices, technical documentation, and knowledge sharing across teams.

Required Skills

  • Strong proficiency in Python with major machine learning and deep learning libraries.

  • Hands-on experience with open-source Large Language Models (LLMs) such as Llama, Dolly, or similar models.

  • Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural networks, transformers, supervised and unsupervised learning.

  • Experience with Generative AI techniques including text generation, text-to-image generation, and Generative Adversarial Networks (GANs).

  • Experience with data preprocessing, feature engineering, SQL, and data manipulation.

  • Familiarity with AI model evaluation, optimization, and hyperparameter tuning.

  • Strong analytical, problem-solving, and communication skills.

Preferred Skills

  • Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).

  • Experience developing AI applications in both on-premises and cloud environments.

  • Knowledge of CI/CD pipelines and AI application deployment practices.

  • Familiarity with MLOps, model lifecycle management, and scalable AI deployment architectures.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

  • Experience designing, developing, and deploying enterprise AI or Generative AI solutions.

  • Ability to work effectively in cross-functional teams and deliver high-quality AI solutions in an agile environment.

Apply