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Mobile Machine Learning Jobs in Florida (NOW HIRING)

Monitise

Senior Data Engineer/Analyst

Coral Springs, FL · On-site

$81K - $103K/yr

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Conduct analytics and support development of machine learning and predictive model pipelines and ...

Mad Mobile Inc

Director, Risk and Compliance

Tampa, FL · On-site

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

Monitise

Cyber Threat Hunter

Coral Springs, FL · On-site

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 ...

Monitise

Cyber Threat Hunter

Coral Springs, FL

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 ...

Hopper

$121K - $159K/yr

... mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel ...

Deloitte

Oracle Gen AI Manager

Tampa, FL

... 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 ...

Deloitte

Oracle Gen AI Manager

Miami, FL

... 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 ...

Hopper

$117K - $154K/yr

... mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Florida

Mobile Machine Learning information

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 Florida? The most popular types of Machine Learning jobs in Florida are:
What are popular job titles related to Mobile Machine Learning jobs in Florida? For Mobile Machine Learning jobs in Florida, the most frequently searched job titles 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:
Mobile Machine Learning jobs near you
Consultant | Reactive Programming | react JS

Consultant | Reactive Programming | react JS

Spruce Infotech

Boca Raton, FL • On-site

Full-time

Posted 18 days ago

Job description

Role Summary
We are looking for a highly experienced React Native Lead Developer / Mobile Architect to lead the design, development, and delivery of enterprise-grade cross-platform mobile applications. The ideal candidate will bring strong expertise in React Native, TypeScript, ReactJS, Node.js, iOS/Android ecosystems, cloud platforms, authentication/SSO, OTA updates, offline-first capabilities, and performance optimization. This role requires hands-on technical leadership, solution ownership, mentoring, code reviews, and delivery of scalable mobile/web applications in Agile environments.
Key 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.
Required Skills & Experience
• 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 Qualifications
• 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.
Role Fitment
This role is best suited for a senior hands-on mobile technology leader who can own architecture, guide delivery teams, and build secure, scalable, enterprise-grade React Native applications across mobile and web platforms.
Project Code: Supp code for DX Subcon STP Onsite

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