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Mobile Machine Learning Jobs in Ohio (NOW HIRING)

ERP Suites

AI & Mobile Product Manager

Loveland, OH · On-site +1

The AI & Mobile Product Manager will own the product lifecycle from concept through adoption ... Core Competencies: • Product strategy and roadmap development • AI, machine learning ...

Hirekeyz Inc

iOS Developer

Columbus, OH · On-site

$50 - $68.75/hr

... machine learning, mobile, etc.) · Ability to tackle design and functionality problems independently with little to no oversight Preferred qualifications, capabilities, and skills · Practical cloud ...

Vertiv Co

AI Architect

Westerville, OH

$60.75 - $80/hr

... machine learning, or data science. * Experience in working with big data technologies, such as Hadoop, Spark, Kafka, etc. * Experience in working with web or mobile development technologies, such as ...

Monitise

AI Engineer

Columbus, OH · On-site

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ...

Judge Group, Inc.

Java Developers

Columbus, OH · On-site

$47.75 - $61.75/hr

Familiarity with modern technology domains such as cloud computing, artificial intelligence, machine learning, or mobile application development . * Experience collaborating with cross-functional ...

Prophecy Technologies

Java Developer

Columbus, OH · On-site

$49.25 - $63.75/hr

Demonstrated knowledge of software applications and technical processes within technical disciplines such as cloud, artificial intelligence, machine learning, and mobile. * Strong Core Java (Version ...

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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 Aug 3, 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 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 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

AI & Mobile Product Manager

ERP Suites

Loveland, OH • On-site, Remote

Full-time

Re-posted 3 days ago

Job description

ERP Suites is dedicated to delivering innovative technology solutions that help organizations streamline operations, improve productivity, and accelerate growth. We are seeking an AI & Mobile Product Manager to lead the strategy, development, and delivery of next-generation AI-powered and mobile solutions that create measurable business value for our customers.
Location:
Our home office is based in Cincinnati, OH. However, we are open to hiring someone who is fully remote regardless of location. Although the position will be remote, there might be some occasional travel to ERP Suites facilities or customer sites.
Position Summary:
The AI & Mobile Product Manager will own the product lifecycle from concept through adoption, driving the development of AI and mobile solutions that solve meaningful business challenges. This role serves as the bridge between customers, business stakeholders, engineering teams, data scientists, and leadership to ensure products are valuable, scalable, secure, and aligned with business objectives.
The ideal candidate combines strong product management expertise with a practical understanding of artificial intelligence, including generative AI, machine learning, AI agents, automation, model governance, and responsible AI practices.
Daily Activities:
• Collaborate with engineering, data science, and design teams to review progress and resolve blockers.
• Refine requirements, user stories, and product priorities.
• Review customer feedback, support issues, usage analytics, and product performance metrics.
• Participate in Agile ceremonies including sprint planning, backlog grooming, standups, and demos.
• Review workflows, wireframes, prompts, model behavior, and AI-generated recommendations.
• Support sales, marketing, and customer success teams with product knowledge and enablement.
Key Responsibilities:
Product Strategy & Roadmap:
• Define and execute the AI product vision, strategy, and roadmap.
• Identify and prioritize AI and mobile use cases based on customer value, business impact, feasibility, and risk.
• Develop business cases and product strategies that align with organizational goals.
• Conduct market research, competitive analysis, and customer discovery to identify opportunities.
Product Development & Delivery:
• Translate business requirements into detailed product requirements, user stories, and acceptance criteria.
• Partner with engineering, architecture, UX, and data science teams to design scalable solutions.
• Manage product backlogs, sprint planning, prioritization, and release planning.
• Ensure successful delivery through Agile product development methodologies.
• Oversee product releases, documentation, training, and readiness activities.
Customer Experience & Adoption:
• Collaborate with UX teams to create intuitive, AI-enabled user experiences.
• Gather and analyze customer feedback to continuously improve products.
• Define success metrics, KPIs, adoption goals, and ROI measurements.
• Monitor product performance, user adoption, customer satisfaction, and AI model effectiveness.
Governance & Risk Management:
• Ensure AI products are secure, explainable, compliant, and aligned with responsible AI principles.
• Collaborate with security, legal, and compliance teams to manage AI-related risks.
• Evaluate AI outputs for accuracy, usability, trustworthiness, and business relevance.
Cross-Functional Leadership:
• Partner with stakeholders across product, engineering, sales, marketing, customer success, and executive leadership.
• Communicate product strategy, priorities, trade-offs, and roadmap updates.
• Support go-to-market initiatives, sales enablement, product positioning, and customer adoption.
Qualifications:
Required:
• Bachelor's degree in Business, Computer Science, Information Systems, Engineering, Data Science, or a related field.
• 3+ years of experience in product management, business analysis, software delivery, or technology strategy.
• Experience delivering software products, digital platforms, enterprise applications, or data-driven solutions.
• Working knowledge of AI concepts including machine learning, generative AI, natural language processing, predictive analytics, and AI agents.
• Experience collaborating with technical teams such as software engineers, architects, and data scientists.
• Strong experience writing product requirements, user stories, acceptance criteria, and business cases.
• Experience using Agile methodologies and product management tools.
• Excellent communication and stakeholder management skills.
• Strong analytical, problem-solving, and decision-making abilities.
Core Competencies:
• Product strategy and roadmap development
• AI, machine learning, generative AI, and automation concepts
• Customer discovery and use case validation
• Agile product management and backlog prioritization
• Data-driven decision making and KPI development
• Cross-functional leadership
• UX and workflow design
• Executive communication and presentation skills
• Risk management, governance, and responsible AI practices
Preferred Qualifications:
• Experience managing AI, machine learning, generative AI, or automation products.
• Experience with enterprise systems such as ERP, CRM, HCM, supply chain, finance, or operations platforms.
• Familiarity with cloud AI platforms including Oracle Cloud Infrastructure, Microsoft Azure AI, AWS AI, Google Cloud AI, or OpenAI technologies.
• Knowledge of AI governance, model monitoring, prompt engineering, data privacy, security, and compliance.
• Understanding of APIs, data pipelines, vector databases, retrieval-augmented generation (RAG), large language models (LLMs), and agentic AI architectures.
• Experience launching AI products in enterprise or regulated industries.
• Experience developing ROI models and business value frameworks for AI initiatives.
• Product certifications such as Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, or Pragmatic Institute certification.
Company:
At ERP Suites, our focus is on helping our customers realize IT's potential. Our comprehensive ERP solutions enable them to streamline and scale their IT products and processes. And this leads directly to improved efficiency and increased margins. We are a proud Oracle Gold Partner and champion of proactive JD Edwards management and custom product enhancements.
ERP Suites provides technical consulting, cloud services, managed services, and digital transformation solutions for some of America's top companies. We build secure connections, improve performance, automate workloads and give them mobility. In other words, we help them stay on top.
We deliver multi-functional value through cloud services, digital transformation, ERP consulting services, ERP managed services, and software development.
Core Values:
  • Make Customers Successful
  • Be An Advisor
  • Be a teacher
  • Be a Coach
  • Have Fun
  • Do the Right Things for the ERP Suites Family
  • Adapt Quickly to Changing Roles and Environments
This is Where IT Change Starts.
  • With questions.
  • With problems that need to be solved.
  • With business needs, both immediate and long term.
  • Because technology and its impact on business isn't getting any simpler.
  • That's why we exist.
  • To answer the tough questions.
  • To find a solution to every problem-no matter the size or scope.
  • And to help companies not just identify IT's potential, but realize IT

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