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Artificial Intelligence Machine Learning Jobs in Texas

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Artificial Intelligence (AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data ...

AtOrchard LLC

Machine Learning Engineer

Austin, TX · On-site

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Marine Science, Oceanography, or related discipline. Master's degree preferred. * Experience developing ...

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How much do artificial intelligence machine learning jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for artificial intelligence machine learning in Texas is $24.55, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $25.96 per hour, depending on experience, location, and employer.

What is an artificial intelligence machine learning?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What does an artificial intelligence machine learning professional do?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in artificial intelligence machine learning?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

Is artificial intelligence machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. Continuous learning and staying updated with new developments are important for long-term career growth.

What jobs can I get with artificial intelligence machine learning?

Artificial Intelligence and Machine Learning professionals can pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, Research Scientist, and AI Software Developer. These roles typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Texas?

The most popular types of Artificial Intelligence Machine Learning jobs in Texas are:

What are popular job titles related to Artificial Intelligence Machine Learning jobs in Texas?

For Artificial Intelligence Machine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning jobs in Texas look for?

The top searched job categories for Artificial Intelligence Machine Learning jobs in Texas are:

What cities in Texas are hiring for Artificial Intelligence Machine Learning jobs?

Cities in Texas with the most Artificial Intelligence Machine Learning job openings:

Artificial Intelligence Machine Learning jobs near you
Infographic showing various Artificial Intelligence Machine Learning job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $51,058 per year, or $24.5 per hour.

Artificial Intelligence/Machine Learning Engineer

Austin, TX • On-site

Lumen Solutions Group Inc.
See more jobs at Lumen Solutions Group Inc.external

$113K - $136K/yr

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Lumen Solutions Group Inc. is seeking an Artificial Intelligence/Machine Learning Engineer to evaluate emerging AI trends and design applications tailored to specific use cases. The role involves creating scalable AI pipelines and collaborating with various teams to integrate AI solutions.
Responsibilities:
• Evaluate emerging AI trends, tools, and vendor solutions against business use-cases.
• Run proof-of-concepts (PoCs) to test feasibility of new ideas.
• Design and build applications and AI/ML models tailored to specific use cases (e.g., predictive analytics, natural language processing, computer vision) prioritized for the AI Program.
• Create scalable AI pipelines that can be integrated into existing systems.
• Collaborate with data, engineering, and software development teams.
Qualifications:
Required:
• Evaluate emerging AI trends, tools, and vendor solutions against business use-cases.
• Run proof-of-concepts (PoCs) to test feasibility of new ideas.
• Design and build applications and AI/ML models tailored to specific use cases (e.g., predictive analytics, natural language processing, computer vision) prioritized for the AI Program.
• Create scalable AI pipelines that can be integrated into existing systems.
• Collaborate with data, engineering, and software development teams.
• Possesses raw knowledge and skillset through coursework with some hands-on work experience in the following areas:
• Strong Python, familiarity with Java / C++ / Go for production environments
• Object-oriented programming & design patterns
• Unit testing, CI/CD, Git, containerization (Docker)
• Data pipelines (Airflow, Prefect, or cloud-native equivalents)
• Model deployment (REST APIs, gRPC, serverless), monitoring, and versioning
• AWS / Azure / GCP / OCI AI services
• Cloud-native training/inference environments (SageMaker, Vertex AI, Azure ML)
• Kubernetes for scalable inference
• Eligibility to Work: Vendor must ensure Resources retain the authorization to legally work in the United States throughout the term of each engagement based on the length of term period identified in the contract. Documentation of such authorizations must be provided prior to engagement.
Company:
Lumen Solutions Inc., is a dynamic small and minority-owned, Disadvantaged Business Enterprise headquartered in Virginia, USA. Founded in 1998, the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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