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Artificial Intelligence Machine Learning Engineer Jobs in Tyler, TX

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

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Artificial Intelligence Machine Learning Engineer information

See Tyler, TX salary details

$29.7K

$121.3K

$182.3K

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

As of Sep 7, 2026, the average yearly pay for artificial intelligence machine learning engineer in Tyler, TX is $121,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $146,100.00 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 cities near Tyler, TX are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Tyler, TX with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Tyler, TX 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 $121,343 per year, or $58.3 per hour.

IT Specialist 6 month Register-Direct Hire

US Department of the Treasury

Tyler, TX • On-site

$106K/yr

Full-time

Posted 8 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

312th of 856 rated public administrative organizations


Job description


WHAT IS Information Technology Division?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • IT -
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIRMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
MINIMUM REQUIREMENTS FOR GRADE 12 LEVEL UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8)Teamwork and 9) Technical Competence.
SPECIALIZED EXPERIENCE GS-13: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes:
  • Applying IT principles, methods, and engineering practices to develop, implement, integrate, maintain, troubleshoot, or enhance IT systems, cloud services, databases, hardware, software, applications, interfaces, scripts, or related technology environments.
  • Developing, configuring, testing, deploying, documenting, or supporting IT solutions while ensuring compliance with applicable cybersecurity, privacy, accessibility, and regulatory requirements.
  • Collaborating with customers, stakeholders, users, and technical teams to define business or technical requirements, advising on feasible IT approaches, and implementing secure, reliable, scalable IT solutions, including application enhancements where applicable.
  • Evaluating system, service, cloud or application performance, availability, reliability, usability, and operational effectiveness; identifying technical issues, risks, recurring issues, or defects; and recommending or implementing corrective actions consistent with established policies and procedures.
  • Analyzing multiple technical alternatives and advising management or IT specialists on the appropriate technologies, architectures, engineering approaches, or implementation strategies to support organizational objectives.
And
ARTIFICIAL INTELLIGENCE (AI) EXPERIENCE
Experience that includes one or more of the following:
  • Designing, developing, implementing, integrating, or supporting Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Natural Language Processing (NLP), predictive analytics or related technologies within an IT environment
  • Evaluating AI-enabled systems for performance, reliability, security, scalability, or operation effectiveness and recommending technical improvements
  • Applying AI governance, responsible AI, , security, privacy, or risk management during the design, development, deployment, or operation of AI solutions.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Implementing, configuring, integrating, or supporting cybersecurity technologies, security controls, cloud security, identity management, security monitoring, or enterprise security solutions.
  • Analyzing cybersecurity threats, vulnerabilities, incidents, compliance requirements or operational risks and recommending or implementing mitigation strategies.
  • Evaluating systems, applications, cloud environments, or enterprise architectures to ensure compliance with cybersecurity requirements, security frameworks, or risk management principles.

SPECIALIZED EXPERIENCE GS-14: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes:
  • Leading or serving as the technical authority for complex IT projects, enterprise applications, cloud services, cybersecurity initiatives, systems integration efforts, or modernization programs affecting multiple organizations or business functions. Applying advanced IT principles, to evaluate requirements, resolve complex technical issues, guide architecture and design decisions, and ensure compliance with cybersecurity, privacy, accessibility, and federal requirements.
  • Leading collaboration among customers, stakeholders, users, product or business owners, and technical teams to define business or technical requirements, communicate technical impacts, and guide delivery of secure, reliable, scalable IT solutions.
  • Evaluating system, service, or application performance, availability, reliability, security controls, usability, and operational effectiveness; identifying risks, issues, defects, or gaps; and leading corrective actions or modernization efforts.
  • Analyzing competing technical approaches and providing authoritative recommendations to management, stakeholders, or IT specialists regarding enterprise architectures, technologies, cloud services, cybersecurity controls, engineering standards, or implementation strategies with organizational impact.
And
ARTIFICIAL INTELLIGENCE (AI) EXPERIENCE
Experience that includes one or more of the following:
  • Leading or providing technical direction for AI, machine learning, or Generative AI solutions supporting enterprise business operations.
  • Evaluating AI technologies, architecture, models, infrastructure or implementation strategies and recommend solutions or improvements.
  • Developing or implementing technical approaches for AI governance, security, privacy, explainability, risk management, reliability, or responsible AI practices.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Leading technical direction for the development, implementation , assessment, or improvement of cybersecurity programs, architectures, controls or solutions within an IT environment.
  • Evaluating enterprise cybersecurity risks, threats, vulnerabilities, cloud security architectures, and technical requirements to develop or recommend risk mitigation strategies.
  • Developing enterprise cybersecurity standards, technical guidance, security architectures or engineering solutions supporting secure IT operations.

Please refer to EDUCATION for remaining Qualifications
For more information on qualifications please refer to OPM's Qualifications Standards.Education:QUALIFICATIONS CONTINUED
SPECIALIZED EXPERIENCE GS-15: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-14 grade level in Federal service. Specialized experience for this position includes:
  • Directing, overseeing, or providing strategic guidance for major IT programs, enterprise-level projects, technology modernization efforts, or high-visibility initiatives with broad organizational, agency-wide, or mission impact.
  • Applying IT principles, to evaluate requirements, resolve complex technical issues, guide architecture and design decisions, and ensure compliance with cybersecurity, privacy, accessibility, and federal requirements..
  • Collaborating with executives, senior leaders, customers, stakeholders, program or product leaders, and technical organizations to define mission needs, set priorities, and direct implementation of secure, resilient, scalable, and mission-effective IT solutions.
  • Overseeing enterprise technology governance, risk management, modernization planning, and implementation efforts across multiple organizations. Evaluating competing technical, operational, software, and strategic approaches and advising senior leadership or executive stakeholders on decisions, tradeoffs, policies, standards, governance, and resolution of IT challenges that affect mission delivery.
And
ARTIFICIAL INTELLIGENCE EXPERIENCE
Experience that includes one or more of the following:
  • Leading enterprise AI strategies or directing the design, development, integration, or implementation of Artificial Intelligence, Machine Learning, Generative AI, Natural Language Processing, or related technologies.
  • Establishing enterprise AI architectures, governance, technical standards, security requirements, or modernization strategies.
  • Advising executive leadership regarding AI strategy, responsible AI implementation, enterprise data architecture, vendor capabilities, or AI-enabled modernization initiatives.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Providing executive-level technical leadership for enterprise cybersecurity, cloud security, Zero Trust, identity management, enterprise risk management, or infrastructure protection initiatives.
  • Developing enterprise cybersecurity architectures, modernization strategies, technical standards, or risk management frameworks.
  • Advising executive leadership regarding enterprise cybersecurity strategy, emerging threats, modernization priorities, technology investments, or government-wide cybersecurity initiatives.


    You must also meet the following requirements

  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

EDUCATION
A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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