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Mobile Machine Learning Jobs in Ohio (NOW HIRING)

StandardAero

Machinist

Cincinnati, OH · On-site

$20.75 - $28.50/hr

Machine products to tight tolerances * Reads and interprets specification manuals, blueprints ... Learning & Training opportunities Company Description Founded in 1911, we've always strived to ...

Hirekeyz Inc

API Testing Automation (SDET)

Columbus, OH · On-site

... machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Experience with Spinnaker is preferable Experience with Lambda using Python is preferable Exposure to data modeling ...

Hirekeyz Inc

API Testing Automation

Columbus, OH · On-site

$44.50 - $58.75/hr

... machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills * Experience with Spinnaker is preferable * Experience with Lambda using Python is preferable * Exposure to data ...

Hirekeyz Inc

Web UI (Front End)

Columbus, OH · On-site

... machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Experience with Spinnaker is preferable Experience with Lambda using Python is preferable Exposure to data modeling ...

Deloitte

Oracle Gen AI Manager

Columbus, OH · On-site

... 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

Cincinnati, OH · On-site

... 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

Cleveland, OH · On-site

... 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 ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Ohio

Mobile Machine Learning information

See Ohio salary details

$11

$24

$113

How much do mobile machine learning jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for mobile machine learning in Ohio is $24.08, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $19.18 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 Ohio? The most popular types of Machine Learning jobs in Ohio are:
What are popular job titles related to Mobile Machine Learning jobs in Ohio? For Mobile Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Ohio look for? The top searched job categories for Mobile Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Mobile Machine Learning jobs? Cities in Ohio with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you

Sr Lead Software Engineer- Android

JPMorganChase

Columbus, OH • On-site

Full-time

Posted 18 days ago

Job description

Job Summary:
JPMorgan Chase is a leading financial services firm that helps households and small businesses achieve their financial goals. As a Senior Lead Software Engineer, you will be part of an agile team focused on enhancing and delivering technology products, driving significant business impact through your technical expertise and problem-solving skills.
Responsibilities:
• Produces architecture and design artifacts for complex applications and ensures design constraints are met by software code development.
• Proactively identifies hidden problems and patterns in data and uses these insights to improve coding hygiene and system architecture.
• Contributes to software engineering communities of practice and participates in events that explore new and emerging technologies.
• Adds to a team culture of diversity, opportunity, inclusion, and respect.
• Focus on creating an informative, data-promoten journey with a customer-focused mindset
• Demonstrate the ability to understand requirements and translate them into efficient code
• Gain experience with Kotlin, Jetpack Compose, RxJava, LiveData, mobile UI fundamentals (from layout to animations), and RESTful API integration
• Utilize experience with unit and functional testing libraries like Mockito and Espresso
• Leverage experience with distributed systems, caching, and persistence solutions.
• Apply understanding of architectural patterns such as MVP and MVVM, and application design patterns (Gang of Four).
• Utilize understanding of build and CI systems such as Gradle and Jenkins.
Qualifications:
Required:
• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred:
• Work with mobile application team to setup monitoring and resolve production issues/crashes on mobile devices. Assist with troubleshooting, root cause analysis, and ensure that software bugs are corrected in an expedient manner. Communicate resolution & next steps.
• Experience with mobile testing in areas like unit test, automation test, testing/debugging using emulator and device including experience with mobile application profiling for memory analysis, thread analysis and heap analysis on devices, emulators and simulators.
• Can work with large codebases, managing shared resources and libraries and involvement in the ongoing development one or more mobile applications available in Apple's App Store or Google’s Play Store.
• Ability to troubleshoot and identify root causes under time pressure.
• Experience building localized, multi-tenant solutions.
• Strong experience with data structures and multithreading.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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