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Artificial Intelligence Machine Learning Engineer Jobs in Anson, TX

Safety-Kleen

Driver Class B Trainee

Abilene, TX · On-site

$15.65 - $36.35/hr

... machines, pick up containerized hazardous waste, and sell products/services in a defined route ... Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of ...

Clean Harbors

Driver Class B Trainee

Abilene, TX

$23/hr

... machines, pick up containerized hazardous waste, and sell products/services in a defined route ... Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of ...

Clean Harbors

Driver Class B Trainee

Abilene, TX · On-site

$23/hr

... machines, pick up containerized hazardous waste, and sell products/services in a defined route ... Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of ...

Clean Harbors

Driver Class B Trainee

Abilene, TX · On-site

$15.65 - $36.35/hr

... machines, pick up containerized hazardous waste, and sell products/services in a defined route ... Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of ...

CleanHarbors

Driver Class B Trainee

Abilene, TX

$23/hr

... machines, pick up containerized hazardous waste, and sell products/services in a defined route ... Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Anson, TX

Artificial Intelligence Machine Learning Engineer information

See Anson, TX salary details

$29.8K

$121.7K

$182.9K

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

As of Aug 7, 2026, the average yearly pay for artificial intelligence machine learning engineer in Anson, TX is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $146,500.00 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 cities near Anson, TX are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Anson, TX 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 Anson, TX as of August 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Field Application Engineer - Abilene, TX - Temporary Part Time

FieldAI

Abilene, TX

$21 - $25/hr

Full-time

Posted 16 days ago

Job description

Job Title: Field Application Engineer
Location: Abilene, TX  US
Work type: Full time
 
 
Who are We?
 
Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
 
Learn more at https://fieldai.com.
$21 - $25 an hour
About the Job
 
We are looking for a proactive and tech-savvy Field Application Engineer to support the deployment, testing, and client-facing operations of our cutting-edge robotic systems-including drones, quadrupeds, and humanoid robots. This role is ideal for recent graduates who thrive in both technical and operational environments.
 
You will be based out of our Abilene, TX  site. 
 
What You'll Get To Do:
 
     Deploy and operate robotic systems in the field, support testing and data collection.
     Supervise remote operations and assist during client presentations and demos.
     Facilitate smooth, clear communication between engineers and non-technical stakeholders.
     Document technical issues, test results, and client feedback in detail.
     Troubleshoot hardware and software issues and contribute to continuous workflow improvement.
     Collaborate with cross-functional teams to iterate on system performance and usability.
 
What You Have:
 
     Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechatronics, or a related technical field.
     Strong communication skills-able to translate complex technical topics for various audiences.
     Willingness to travel frequently across the country.
     Excellent organizational skills and the ability to work well in team-based environments.
 
 
The Extras That Set You Apart:
 
     Hands-on experience with robotics hardware (drones, quadrupeds, humanoids, or similar).
     Familiarity with basic electronics, sensors, and robotic subsystems.
     Basic coding/scripting skills (Python, C++, or similar).
     Prior experience in field testing, remote operations, or client-facing tech roles is a plus.
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
 
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a contract fully onsite role, and candidates will be expected to work in Abilene, TX . In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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