1

Mobile Machine Learning Jobs in Arkansas (NOW HIRING)

AI Cloud Engineer III

El Dorado, AR

$49.50 - $66.25/hr

... mobile applications. Translate AI solutions and business requirements into production-ready ... Provision, configure, and maintain scalable AI and machine learning environments in Microsoft Azure ...

... learning new skills, and taking pride in detailed work? At JD Machine Corporation, we're looking ... Apply today with our quick, mobile-friendly application.

Distinguished, Architect

Bentonville, AR · On-site +1

$194K - $260K/yr

Machine Learning - Inferencing pipeline using PyTorch, Python, Pandas, Computer Vision using CoreML ... mobile apps using React Native, Flutter, Custom solution using WebViews. Employer will accept any ...

... machine learning (e.g., Python, TensorFlow, PyTorch, or scikit-learn) and interest in future in ... mobile phones, and related technology is expected.

Apply Early

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 ...

(USA) Staff, Data Scientist

Tontitown, AR · On-site

$110K - $220K/yr

... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ... Experience with training machine learning models through Cloud Services including Google Cloud ...

(USA) Staff, Data Scientist

Johnson, AR · On-site

$110K - $220K/yr

... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ... Experience with training machine learning models through Cloud Services including Google Cloud ...

... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ... Experience with training machine learning models through Cloud Services including Google Cloud ...

... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ... Experience with training machine learning models through Cloud Services including Google Cloud ...

(USA) Staff, Data Scientist

Lowell, AR · On-site

$110K - $220K/yr

... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ... Experience with training machine learning models through Cloud Services including Google Cloud ...

(USA) Staff, Data Scientist

Greenland, AR · On-site

$110K - $220K/yr

... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ... Experience with training machine learning models through Cloud Services including Google Cloud ...

... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ... Experience with training machine learning models through Cloud Services including Google Cloud ...

(USA) Staff, Data Scientist

Rogers, AR · On-site

$110K - $220K/yr

... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ... Experience with training machine learning models through Cloud Services including Google Cloud ...

... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ... Experience with training machine learning models through Cloud Services including Google Cloud ...

... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ... Experience with training machine learning models through Cloud Services including Google Cloud ...

... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ... Experience with training machine learning models through Cloud Services including Google Cloud ...

next page

Showing results 1-20

Mobile Machine Learning information

See Arkansas salary details

$10

$20

$98

How much do mobile machine learning jobs pay per hour?

As of Jul 6, 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized knowledge, and may be found in large tech companies or research institutions.

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.

Will MLE be replaced by AI?

Mobile Machine Learning Engineers (MLEs) develop and optimize machine learning models for mobile devices. While AI technologies continue to advance, MLEs focus on implementing efficient, lightweight models suitable for mobile hardware, and their role is expected to evolve rather than be fully replaced by AI itself. Skills in model optimization, deployment, and understanding mobile constraints remain essential for MLEs.

What engineer makes $500,000 a year?

Senior machine learning engineers, including those working on mobile applications, can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning and AI, and roles in high-paying industries or companies. Achieving this level often requires advanced degrees, specialized expertise, and leadership responsibilities.

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.

Which 3 jobs will survive AI?

Mobile Machine Learning professionals, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require specialized skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with AI tools and frameworks are essential for long-term job security in this field.

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:
Infographic showing various Mobile Machine Learning job openings in Arkansas as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $43,558 per year, or $20.9 per hour.
AI Cloud Engineer III

$49.50 - $66.25/hr

Other

Posted 18 days ago


Murphy USA rating

4.1

Company rating: 4.1 out of 10

Based on 252 frontline employees who took The Breakroom Quiz

44th of 47 rated convenience stores


Job description

AI Cloud Engineer - Duties and Responsibilities
Develop, deploy, and operate enterprise AI systems, APIs, and model-serving infrastructure that support retail operations at scale, including personalization, forecasting, pricing intelligence, and real-time decisioning across stores, digital channels, and supply chain systems.
Work closely with data scientists, AI engineers, and application teams to integrate, deploy, and support AI capabilities within customer-facing and internal systems, including mobile applications.
Translate AI solutions and business requirements into production-ready implementations, ensuring alignment with organizational standards and roadmaps defined by the Manager of AI Implementation and Strategy.
Build, deploy, and maintain end-to-end AI pipelines, including data ingestion, feature engineering workflows, model training orchestration, deployment, and monitoring in production environments.
Own the operational reliability of AI platforms and services, including uptime, performance, security, and cost optimization.
Provision, configure, and maintain scalable AI and machine learning environments in Microsoft Azure and Databricks to support enterprise AI initiatives.
Support, monitor, and troubleshoot cloud-based services integrated with POS systems, ensuring high availability and responsiveness.
Implement and maintain infrastructure-as-code (IaC), CI/CD pipelines, and automation practices for AI workloads across Azure and Databricks environments.
Monitor system health, model performance, and data pipelines, and proactively resolve issues, optimize workloads, and implement improvements.
Ensure all solutions adhere to enterprise governance, security, and data management policies, including access controls, data privacy, and compliance standards.
Create and maintain technical documentation, runbooks, and operational procedures to support system maintainability, incident response, and knowledge transfer.
Collaborate with architecture and strategy teams by providing feedback from operational experience to improve system design, scalability, and maintainability.
EDUCATION AND EXPERIENCE
Bachelors degree in Computer Science or related field (preferred)
5+ years of experience in Cloud Engineering (preferred)

What Murphy USA employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom