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Mobile Machine Learning Jobs in Ohio (NOW HIRING)

CNC Machinist

Cincinnati, OH · On-site

$25 - $35/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 ...

... machine learning, mobile, etc.) • In-depth knowledge of the financial services industry and their IT systems • Practical cloud native experience Company : With a history tracing its roots to 1799 ...

... machine learning, mobile, etc.) • Ability to tackle design and functionality problems independently with little to no oversight • Practical cloud native experience - AWS, Azure • Ability to ...

... machine learning, mobile, etc.) • Ability to tackle design and functionality problems independently with little to no oversight • Practical cloud native experience • Ability to evaluate current ...

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Mobile Machine Learning information

See Ohio salary details

$11

$24

$113

How much do mobile machine learning jobs pay per hour?

As of May 31, 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 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 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 the most commonly searched types of Machine Learning jobs in Ohio? The most popular types of 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:
Lead Software Engineer - Sr. Full Stack Java/Python Engineer

Lead Software Engineer - Sr. Full Stack Java/Python Engineer

JP Morgan Chase

Westerville, OH • On-site

Full-time

Medical, Retirement

Posted 23 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. You'll work with talented engineers, tackle meaningful technical challenges, and help deliver technology that supports customers at scale.

As a Lead Software Engineer at JPMorganChase within Consumer & Community Banking - Sales & Incentive Growth team, you are an integral part of an agile team that enhances, builds, and delivers trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you will drive critical technology solutions across multiple technical areas and business functions, helping shape design decisions, improving reliability, and raising engineering standards through strong collaboration and technical leadership.

Job responsibilities

  • Execute creative software solutions through design, development, and technical troubleshooting, applying non-routine approaches to solve complex problems
  • Develop secure, high-quality production code, and review, test, and debug code written by others
  • Identify opportunities to automate remediation of recurring issues and improve the operational stability of applications and systems
  • Lead evaluation sessions with external vendors, startups, and internal teams to assess architecture, technical fit, and alignment with enterprise standards
  • Lead and contribute to communities of practice to drive adoption of new and leading-edge technologies across Software Engineering
  • Partner with product and technology stakeholders to translate business needs into technical solutions and delivery plans
  • Promote a team culture grounded in diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Proficiency across the Software Development Life Cycle, including design, build, test, deploy, and operate
  • Advanced understanding of application resiliency and security practices in modern software delivery
  • Advanced proficiency in one or more programming languages such as Java, JavaScript, or Python
  • Experience building services using Spring Boot
  • Experience designing and delivering event-driven solutions using Kafka
  • Practical cloud-native experience delivering and operating production workloads on Amazon Web Services (AWS)
  • Proficiency in automation and continuous delivery practices, including CI/CD
  • Demonstrated depth in at least one technical discipline such as cloud, artificial intelligence, machine learning, or mobile engineering

 

Preferred qualifications, capabilities, and skills

  • Experience leading a small team of engineers (for example, three to six) while remaining hands-on in delivery
  • Demonstrated mentoring and coaching of junior engineers through feedback, pairing, and code review
  • Experience supporting development of machine learning models, including causal inference approaches
  • Experience applying AI-assisted engineering techniques to accelerate delivery and improve quality
  • Hands-on experience using Visual Studio Code for debugging web, cloud, and distributed applications

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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