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Ai Model Jobs in Texas (NOW HIRING)

Ericsson

AI Model Developer

Austin, TX · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Based in Austin, Texas, the AI Model Developer (JS5/JS6) works alongside researchers, software engineers, data scientists, and product teams to design, evaluate, optimize, and deploy advanced machine ...

Ericsson Inc.

AI Model Architect

Austin, TX · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Grow with us AI Model Architect - Silicon-Software Co-Design Austin, Texas The Voice of the Model. The Architect of the Machine. The Mission Most AI architects optimize models for hardware that ...

Ericsson

AI Model Architect

Austin, TX · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Grow with us AI Model Architect - Silicon-Software Co-Design Austin, Texas The Voice of the Model. The Architect of the Machine. The Mission Most AI architects optimize models for hardware that ...

The Mutual Group

AI Model Risk Validation Specialist

Dallas, TX · Hybrid

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Model Validation (Core Responsibility) * Perform independent validation of AI/ML models, including: * Model design, methodology, and assumptions * Training and test data quality and ...

TSMC

Senior AI Model Fine-Tuning Engineer

Austin, TX · On-site

$103K - $142K/yr

As a Senior AI Model Fine-Tuning Engineer, you will adjust the behavior and functional abilities of AI models to enhance their adaptability and intelligence, utilizing advanced techniques like prompt ...

USAA

AI Model Governance & Monitoring Lead

San Antonio, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity As the AI Model Governance & Monitoring Lead , you will lead the development and implementation of governance practices that enable the responsible, compliant, and effective use of ...

USAA

AI Model Governance & Monitoring Lead

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity As the AI Model Governance & Monitoring Lead , you will lead the development and implementation of governance practices that enable the responsible, compliant, and effective use of ...

USAA

AI Model Governance & Monitoring Lead

San Antonio, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity As the AI Model Governance & Monitoring Lead , you will lead the development and implementation of governance practices that enable the responsible, compliant, and effective use of ...

Gallatin AI, Inc.

AI Software Engineer

Austin, TX · On-site

Responsibilities : • Build and Deploy AI/ML Models • Own and develop an AI model aligned with our core product needs within the first three months. • Validate AI-driven product features through ...

Gallatin AI, Inc.

AI Software Engineer

Austin, TX · On-site

Responsibilities : • Build and Deploy AI/ML Models • Own and develop an AI model aligned with our core product needs within the first three months. • Validate AI-driven product features through ...

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 ...

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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 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 2% Internship, 70% Full Time, 12% Part Time, and 16% Contract. Highlights an 78% In-person, and 22% Remote job distribution.

AI Model Developer

Ericsson

Austin, TX • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 3 days ago

Ericsson rating

9.2

Company rating: 9.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

2nd of 98 rated telecommunications companies

Job description

Grow with us!
  • This role is a hybrid position with the expectation to work onsite (3) three days a week at the Ericsson office located in Austin, Texas and relocation is not offered for this position
  • Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's, O-1's, and TN's. Ericsson also does not hire F-1's working on CPT or EAD for this position

About This Opportunity
Join a team building AI capabilities that power next-generation telecommunications solutions. Based in Austin, Texas, the AI Model Developer (JS5/JS6) works alongside researchers, software engineers, data scientists, and product teams to design, evaluate, optimize, and deploy advanced machine learning models. This is a hands-on technical role for an experienced professional with approximately 6+ years of industry experience who enjoys solving complex AI challenges and collaborating across disciplines.
What you will do
  • Design, develop, and optimize Transformer-based and other deep learning models
  • Evaluate emerging AI architectures and recommend evidence-based improvements
  • Build and maintain reference implementations using PyTorch or JAX
  • Develop reproducible experiments and benchmark model accuracy, latency, and resource utilization
  • Fine-tune foundation models for telecommunications and enterprise use cases
  • Work with data scientists to prepare datasets and evaluation pipelines
  • Partner with software engineering teams to integrate models into production environments
  • Identify performance bottlenecks and recommend optimization strategies
  • Document model designs, assumptions, and validation results clearly
  • Support the growth of junior team members and contribute to shared engineering best practices

The skills you bring
Required:
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, AI, Machine Learning, or a related field
  • 6+ years of industry experience developing machine learning or AI solutions
  • Solid experience with PyTorch, JAX, or TensorFlow
  • Strong understanding of Transformer architectures, attention mechanisms, embeddings, and LLM fundamentals
  • Proficiency in Python and modern ML development workflows
  • Familiarity with model evaluation, experimentation, and performance analysis
  • Experience with Git and collaborative software development practices
  • Clear communication skills and ability to work effectively across teams

Preferred:
  • Experience with Generative AI and Large Language Models
  • Background applying AI to wireless communications, networking, or telecommunications
  • Familiarity with Hugging Face, ONNX, MLFlow, Ray, or similar ML tooling
  • Experience with distributed training or inference optimization
  • Knowledge of MLOps and CI/CD practices for AI systems

What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.
Primary country and city: USA Austin, Texas
Job details: Developer
Primary Recruiter: Jim Everett
Compensation and Benefits at Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.
Your Pay
The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience
Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.
Your Health
Ericsson offers excellent health benefits including the choice of three medical plan options and a dental plan option that allow an employee to select the level of coverage that suits their needs. Employees will receive company credits in an amount equal to the cost that Ericsson pays toward the cost of their medical and dental premiums for themselves and eligible covered dependents.
Your Financial Security
We invest in both your short and long-term financial wellbeing. The Ericsson US 401(k) Plan offers an automatic 3% company contribution and Ericsson match $1 for every $1 you put into the 401(k) Plan on the first 3% of your eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay. When you contribute at least 5% of eligible pay, you are receiving Ericsson's full matching contributions of 4%. Matching and company automatic contributions stop when your total eligible pay for the year reaches the IRS limits. Employees will also receive company credits in an amount equal to the cost of basic life insurance and basic accidental death and dismemberment coverage, as well as short-term and long-term disability coverage. Employees also have the option to participate in Ericsson's Stock Purchase Plan.
Your Time
Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.
Additional Benefits
Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, and recognition programs.

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