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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 ...

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

$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 ...

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Artificial Intelligence Machine Learning Engineer information

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

As of Aug 2, 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 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 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 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 July 2026, with employment types broken down into 79% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,968 per year, or $57.7 per hour.

Artificial Intelligence/Machine Learning Engineer

PROLIM Global Corporation

Austin, TX • On-site

Full-time

Posted 13 days ago

Job description

PROLIM Global Corporation (www.prolim.com) is hiring an Artificial Intelligence/Machine Learning Engineer 1 for a leading Government Client.
Job Title: Artificial Intelligence/Machine Learning Engineer
Location: Austin, TX - Hybrid - Onsite and Telework
Duration: 12 Months (Extendable)
Job Summary
We are seeking an experienced Artificial Intelligence/Machine Learning Engineer to support enterprise-level artificial intelligence initiatives. The ideal candidate will provide specialized expertise in AI solution development, enterprise search implementation, AI agent deployment, AI inventory management, and AI governance processes.
This role will support critical AI transformation initiatives, including improving information retrieval capabilities, implementing AI monitoring solutions, developing AI-powered automation agents, and establishing governance standards aligned with cybersecurity, privacy, and technology compliance requirements.
Key Responsibilities
  • Build and deploy components of enterprise search solutions to improve information discovery and retrieval.
  • Assist with configuration, implementation, rollout, and documentation of AI inventory management systems.
  • Support the development, testing, and deployment of AI agents aligned with business unit requirements.
  • Develop technical controls, documentation, and processes supporting AI governance adoption.
  • Collaborate with technical teams and business stakeholders to implement AI-driven solutions.
  • Support AI model integration, testing, monitoring, and operationalization activities.
  • Assist in establishing AI governance frameworks, standards, and compliance processes.
  • Document AI workflows, technical processes, system configurations, and implementation procedures.
  • Analyze business requirements and translate them into AI/ML technical solutions.
  • Support troubleshooting and continuous improvement of AI systems and applications.

Required Skills & Qualifications
  • 1+ year of experience building and deploying components of enterprise search tools.
  • 1+ year of experience configuring, implementing, and documenting AI inventory systems.
  • 1+ year of experience supporting implementation and testing of AI agents.
  • 1+ year of experience developing technical controls, documentation, and processes for AI governance adoption.
  • Experience with Artificial Intelligence and Machine Learning concepts, tools, and implementation practices.
  • Experience supporting enterprise AI initiatives and technology transformation projects.
  • Knowledge of AI governance, cybersecurity, privacy, and compliance requirements.
  • Experience with AI solution documentation and technical process development.
  • Ability to collaborate with cross-functional teams to deliver AI-driven solutions.
  • Strong analytical, problem-solving, and technical communication skills.

Preferred Qualifications
  • Experience supporting government or public sector AI initiatives.
  • Experience implementing enterprise search platforms.
  • Experience working with AI inventory, monitoring, and governance platforms.
  • Experience developing AI agents and automation solutions.
  • Experience supporting large-scale enterprise technology environments.

Interested Candidates
Please send your updated resume and contact details to: anand.kanavalli@prolim.com
About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM, and Engineering Services and Solutions for Global 1000 companies. We understand business as much as technology and help our customers improve profitability and efficiency through high-value consulting, staffing, engineering, and project management services.
Our offerings include Advisory Services, PLM Software & Services, Program Management, Solution Architecture, Training & Staffing, Cloud Solutions, Infrastructure Services, ERP Practices, Quality Assurance Services, and Engineering Services across a wide range of industries.

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