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Mobile Machine Learning Jobs in Irving, TX (NOW HIRING)

Paradigm

Senior ML Ops Engineer

Irving, TX · On-site

$140 - $200/hr

We are building the future with modern software engineering, agent-assisted systems, and mobile ... Deploy and support machine learning models and AI solutions in production, maintaining best ...

Tangensis, Inc

Software Engineer

Plano, TX · On-site

$80 - $120/hr

Develop and optimize machine learning models for various applications. * Build mobile Applications * Deploy apps to play store * Collaborate with data scientists and engineers to improve AI solutions.

Rhythm Express

AI Engineer

Dallas, TX · On-site

$80 - $100/hr

A strong foundation in signal processing, time-frequency analysis, deep learning, and machine ... Our Rhythm Express RX-1 mini is the smallest and most advanced one-piece mobile cardiac telemetry ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · On-site

$120 - $180/hr

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Info Way Solutions

Product Manager

Dallas, TX · On-site

... machine learning, and RFID related projects • Applied user experience / design principles • Mobile application development • Defined, developed, or applied data science models • Multi ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Info Way Solutions

Product Manager

Dallas, TX · On-site

... mobile application. Responsibilities : • Own the product strategy and roadmap for our member ... machine learning, and RFID related projects Preferred : • Roles to be in Dallas for more in ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Irving, TX

Mobile Machine Learning information

See Irving, TX salary details

$11

$24

$114

How much do mobile machine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for mobile machine learning in Irving, TX is $24.32, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $19.38 per hour, depending on experience, location, and employer.

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 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 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 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 the most commonly searched types of Machine Learning jobs in Irving, TX?

The most popular types of Machine Learning jobs in Irving, TX are:

What are popular job titles related to Mobile Machine Learning jobs in Irving, TX?

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

What job categories do people searching Mobile Machine Learning jobs in Irving, TX look for?

The top searched job categories for Mobile Machine Learning jobs in Irving, TX are:

What cities near Irving, TX are hiring for Mobile Machine Learning jobs?

Cities near Irving, TX with the most Mobile Machine Learning job openings:

Mobile Machine Learning jobs near you

Senior ML Ops Engineer

Paradigm

Irving, TX • On-site

$140 - $200/hr

Other

Re-posted 17 days ago

Job description

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are building the future with modern software engineering, agent-assisted systems, and mobile-first experiences. We are powered by our parent company, Builders FirstSource (NYSE: BLDR): a Fortune 300 company with over $23 billion in revenue and more than 29,000 employees across 550+ locations, BFS is redefining construction through data, digital infrastructure, and AI-powered innovation.

What You Will Do
  • Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.
  • Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.
  • Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.
  • Implement and maintain model registries, experiment tracking, versioning, and governance practices to support consistent model lifecycle management.
  • Build and support containerized ML workloads and deployment workflows using technologies such as Docker and Kubernetes.
  • Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring.
  • Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency.
  • Implement and maintain IaC patterns using Terraform.
  • Troubleshoot and resolve complex technical challenges related to model deployment, ML infrastructure, and production operations.
  • Provide guidance and mentorship to other engineers.
What You Need to Succeed
  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.
  • 4+ years of professional experience in software engineering, machine learning engineering, MLOps, platform engineering, DevOps, or a related technical discipline.
  • Strong understanding of the machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.
  • Experience building and maintaining automated machine learning pipelines and CI/CD workflows.
  • Experience with MLOps platforms and tools such as MLflow, Kubeflow, Azure Machine Learning, Databricks, or similar technologies.
  • Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment tracking, model versioning, and governance practices.
  • Experience working with cloud-based machine learning solutions, preferably within Azure.
  • Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion.

Ready to Join? Apply now at myparadigm.com/careers/

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