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Artificial Intelligence And Machine Learning Jobs in Texas

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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 and machine learning jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for artificial intelligence and 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 artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and 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. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

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

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

Artificial Intelligence And Machine Learning jobs near you
Infographic showing various Artificial Intelligence And Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $51,058 per year, or $24.5 per hour.

Artificial Intelligence/Machine Learning Engineer

Lumen Solutions Group Inc.

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 17 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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