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Artificial Intelligence Machine Learning Engineer 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 ... Programming experience in Python or another modern programming language. * Experience working with ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

TalentPros.AI

Staff Machine Learning Engineer

Austin, TX · On-site

$120K - $550K/yr

About the Team We are at the forefront of artificial intelligence, driving innovation and shaping ... We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. * 5+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role, with a ...

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Artificial Intelligence Machine Learning Engineer information

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$120K

$180.3K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for artificial intelligence machine learning engineer in Texas is $119,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, 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 are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

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

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

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

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

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

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

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $119,968 per year, or $57.7 per hour.

Artificial Intelligence/Machine Learning Engineer

Lumen Solutions Group Inc.

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 10 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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