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Mobile Machine Learning Jobs in Arkansas (NOW HIRING)

AAIT Health LLC

Software Engineer

Little Rock, AR

Familiarity with machine learning (e.g., Python, TensorFlow, PyTorch, or scikit-learn) and interest ... Operation of standard office equipment, non-CDL motor vehicles, mobile phones, and related ...

Walmart

Principal, Technical Program Manager

Bentonville, AR · On-site

$113K - $146K/yr

We leverage cutting-edge technologies such as big data, machine learning, AI, real-time analytics ... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ...

Drax

Pellet Mill Operator I

Huttig, AR · On-site

... machine setup, cleaning, and administrative functions that support site operations. Why join Drax ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

Drax

Pellet Mill Operator I

Portland, AR · On-site

... machine setup, cleaning, and administrative functions that support site operations. Why join Drax ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

Drax

Pellet Mill Operator I

Parkdale, AR · On-site

... machine setup, cleaning, and administrative functions that support site operations. Why join Drax ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

Drax

Pellet Mill Operator I

Montrose, AR · On-site

... machine setup, cleaning, and administrative functions that support site operations. Why join Drax ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

Drax

Pellet Mill Operator I

Fountain Hill, AR · On-site

... machine setup, cleaning, and administrative functions that support site operations. Why join Drax ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

Drax

Pellet Mill Operator I

Strong, AR · On-site

... machine setup, cleaning, and administrative functions that support site operations. Why join Drax ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

Drax

Pellet Mill Operator I

Parkdale, AR · On-site

... machine setup, cleaning, and administrative functions that support site operations. Why join Drax ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

Drax

Pellet Mill Operator I

Crossett, AR · On-site

... machine setup, cleaning, and administrative functions that support site operations. Why join Drax ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

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Showing results 21-40

All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Arkansas

Mobile Machine Learning information

See Arkansas salary details

$10

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$98

How much do mobile machine learning jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for mobile machine learning in Arkansas is $20.94, according to ZipRecruiter salary data. Most workers in this role earn between $11.92 and $16.68 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a mobile machine learning engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are some common challenges faced by mobile machine learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

What are the most commonly searched types of Machine Learning jobs in Arkansas?

The most popular types of Machine Learning jobs in Arkansas are:

What are popular job titles related to Mobile Machine Learning jobs in Arkansas?

For Mobile Machine Learning jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Mobile Machine Learning jobs in Arkansas look for?

The top searched job categories for Mobile Machine Learning jobs in Arkansas are:

Mobile Machine Learning jobs near you
Infographic showing various Mobile Machine Learning job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,558 per year, or $20.9 per hour.

Software Engineer

AAIT Health

Little Rock, AR • On-site

Full-time

Re-posted 7 days ago

Job description

Description:

Job Title: Software Engineer

Supervisor: Information Technology Director

Employment Type: Full-Time

FLSA Classification: Exempt

Location: Little Rock, Arkansas


Requirements:

About Us

AAIT Health harnesses AI and automation to reduce the administrative burden on medical and billing teams, so clinicians can focus on exceptional patient care while reducing burnout and boosting employee satisfaction. We are building a next-generation Electronic Medical Records (EMR) platform and related tools that help healthcare organizations work smarter, faster, and more securely.


What You’ll Do

· Build and improve user-facing product functionality for our EMR platform using React and TypeScript.

· Design and implement backend services and REST APIs using .NET/C# (e.g., ASP.NET Core).

· Work with SQL databases and Entity Framework/EF Core to support reliable, performant application behavior.

· Review current software, analyze issues and opportunities, and present ideas for improvement.

· Troubleshoot, support, and maintain systems in production; identify root causes and implement durable fixes.

· Partner with stakeholders to understand clinical and operational workflows, translate requirements into technical designs, and deliver iterative improvements.

· Implement secure engineering practices appropriate for sensitive healthcare data (e.g., access control, audit logging, safe data handling).

· Integrate AI-enabled functionality into the product when appropriate (e.g., approved AI services with monitoring and guardrails).

· Prepare and maintain technical documentation for supported systems (e.g., architecture notes, runbooks, and usage guides).

· Collaborate with the Director of IT and the Compliance Officer to align engineering practices with applicable policies, procedures, and regulatory requirements.

· Perform other related duties as assigned.


You Might Be a Fit If

· You have 3+ years of experience building and shipping production software in a product environment (full-stack preferred).

· You have experience supporting production systems, debugging complex issues, and improving reliability and performance.

· You are comfortable working across the stack with React/TypeScript on the frontend and .NET/C# on the backend.

· You have experience with SQL databases and ORMs such as Entity Framework/EF Core.

· You are familiar with GitHub and cloud deployment/operations (Azure preferred).

· You are comfortable collaborating with non-technical stakeholders and have strong written and verbal communication skills.

· You are a self-starter who can prioritize and manage multiple tasks with minimal supervision while providing timely and accurate status reports.

· You maintain an obligation to report errors or breaches and work collaboratively with stakeholders to minimize and correct issues.

· You are reliable, adhere to administrative and departmental policies, and demonstrate regular attendance and timeliness.


Bonus Points

· Experience integrating AI features (e.g., LLM/NLP or other AI services) into production software.

· Familiarity with machine learning (e.g., Python, TensorFlow, PyTorch, or scikit-learn) and interest in future in-house model work.

· Healthcare or EMR experience and HIPAA-aware development practices.


Role Details

· Full-time position with presence in the office required.

· Core schedule: Monday–Thursday 8:00 a.m. to 5:00 p.m. and Friday 8:00 a.m. to 12:00 p.m., with occasional work outside regular business hours as needed.

· Travel may be required.

· The position operates in a professional office environment and involves significant time writing, typing, speaking, listening, standing, sitting, walking, and reaching.

· Operation of standard office equipment, non-CDL motor vehicles, mobile phones, and related technology is expected.