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Mobile Machine Learning Jobs in Florida (NOW HIRING)

... and machine-learning driven mobile experiences. Qualifications : Required : • 12 years of overall software development experience, with strong hands-on expertise in mobile and full-stack ...

The role involves delivering insights from mobile casino game and audience data, utilizing ... with machine learning and AI • Tensor Flow, Azure Machine Learning Studio or similar tools ...

Mad Mobile is an AI-driven software development company headquartered in Tampa, FL, revolutionizing ... Collaborate with Data/Engineering to leverage analytics and machine learning for risk detection

Sr Software Engineer

North Palm Beach, FL · On-site

$122K - $161K/yr

... mobile applications using front-end and back-end technologies, ensuring seamless integration and performance. * AI Integration: Implement AI and machine learning models into existing and new ...

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) * Hands-on experience ...

Senior PM - Consumer AI

Jacksonville, FL · On-site

$2.5K - $7.0K/mo

You will define and deliver the AI product strategy for our B2C app -- working at the intersection of user behaviour, machine learning, and mobile product craft. You think like an engineer, act like ...

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Apply statistical methods, machine learning techniques, and Python-based analytical workflows to ...

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Apply statistical methods, machine learning techniques, and Python-based analytical workflows to ...

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

... mobile platforms. What You'll Do (Essential Responsibilities): * Strategy & Roadmap: Define and ... Familiarity with AI/Machine Learning applications in content delivery. #LI-MG1

... e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority ... Uses descriptive and inferential statistics, data mining, predictive modeling and machine learning ...

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Mobile Machine Learning information

See Florida salary details

$9

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$89

How much do mobile machine learning jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for mobile machine learning in Florida is $18.93, according to ZipRecruiter salary data. Most workers in this role earn between $10.77 and $15.10 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 Florida? The most popular types of Machine Learning jobs in Florida are:
What job categories do people searching Mobile Machine Learning jobs in Florida look for? The top searched job categories for Mobile Machine Learning jobs in Florida are:
What cities in Florida are hiring for Mobile Machine Learning jobs? Cities in Florida with the most Mobile Machine Learning job openings:
Lead React Native Developer

Lead React Native Developer

eTeam

Boca Raton, FL • On-site

Full-time

Posted 5 days ago


Job description

Job Summary:
eTeam is seeking a Lead React Native Developer for Infosys Pontoon. The role involves leading the development of scalable React Native mobile applications and integrating various cloud and analytics capabilities while mentoring a team and participating in Agile methodologies.
Responsibilities:
• Lead end-to-end development of scalable, secure, and high-performance React Native mobile applications for iOS and Android platforms.
• Design and implement modern mobile architectures including offline support, caching, state management, deep linking, localization, accessibility, and native module integrations.
• Build and support enterprise authentication flows using Okta, OIDC, MFA, SSO, and Azure AD.
• Configure and manage OTA update mechanisms using tools such as Expo, CodePush, or equivalent mobile release approaches.
• Develop reusable components, micro frontends, REST/GraphQL integrations, and responsive web/mobile features using ReactJS, TypeScript, Node.js, Redux/MobX, and modern JavaScript frameworks.
• Integrate cloud and analytics capabilities across AWS, Azure, GCP, Firebase, Firestore, New Relic, and CI/CD pipelines.
• Drive technical design, estimation, code reviews, unit testing, performance tuning, production support, and engineering best practices.
• Mentor developers, collaborate with cross-functional teams, and actively participate in Agile/Scrum ceremonies.
• Support AI-enabled application features such as document processing, text extraction, LLM integrations, and machine-learning driven mobile experiences.
Qualifications:
Required:
• 12 years of overall software development experience, with strong hands-on expertise in mobile and full-stack application development.
• 6 years of React Native experience with proven delivery of production-grade iOS/Android apps.
• Strong proficiency in React Native, ReactJS, TypeScript, JavaScript, Node.js, Redux/Redux Toolkit/Redux Saga/MobX, REST APIs, GraphQL, Jest, Git, and CI/CD.
• Experience with Expo, OTA updates, native iOS/Android modules, mobile debugging, app performance optimization, and release management.
• Strong understanding of authentication, authorization, MFA, SSO, Okta/OIDC, Azure AD, and secure enterprise integrations.
• Hands-on cloud exposure across AWS, Microsoft Azure, GCP, Firebase, Firestore, PostgreSQL, MongoDB, or MySQL.
• Experience implementing offline-first mobile features, caching, analytics, accessibility, localization, and mobile observability.
• Ability to lead teams, mentor engineers, conduct code reviews, and deliver solutions in Agile/Scrum environments.
• Exposure to AI/ML, GenAI, LLMs, prompt engineering, document extraction, or computer vision use cases will be an added advantage.
Preferred:
• Bachelor’s or master’s degree in computer science, Electronics, Engineering, or related discipline.
• Prior experience delivering mobile/web applications for enterprise, retail, healthcare, finance, or large-scale digital platforms.
• Strong communication, stakeholder management, problem-solving, and ownership mindset.
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.