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Mobile Machine Learning Jobs in Ohio (NOW HIRING)

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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 ...

Be Seen First

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 ...

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 ...

... 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 ...

... 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 ...

... 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 ...

... 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, 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 ...

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 ...

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 ...

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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 Jul 14, 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 cities in Ohio are hiring for Mobile Machine Learning jobs? Cities in Ohio with the most Mobile Machine Learning job openings:
Industrial Sales Account Manager Trainee - Mobile Hydraulic Solution Sales

Industrial Sales Account Manager Trainee - Mobile Hydraulic Solution Sales

SunSource

Toledo, OH

$55K - $65K/yr

Other

Medical, Dental, Retirement, PTO

Re-posted 10 days ago


SunSource rating

6.6

Company rating: 6.6 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

SunSource and its family of companies represent 270+ locations and 4,000+ employees making up one of North America's leading value-add industrial distribution companies.  We provide customers with products and value-added solutions within Fluid Power, Fluid Process, Fluid Conveyance, General Industrial Components, and Industrial Repair. www.sun-source.com

Looking to use your technical education to provide cutting-edge solutions for customers building Agricultural or Construction machinery?
 
SunSource is hiring individuals wanting to start a career focused on applying and selling hydraulic and pneumatic solutions that help our customers' mobile equipment operate more efficiently and intelligently.
 
In this role you will begin your career in SunSource's Grow Our Own (GO2) Sales Training Program, based at our Mobile Engineering Center in Savage, MN (suburb of Minneapolis). 
During your first year, you will participate in a structured rotational development program within Fluid Power, learning SunSource products and systems used in Heavy Duty Mobile Equipment, including machines for:
  • Construction
  • Agriculture
  • Railway
  • Transportation
  • Forestry
You will receive hands-on exposure to our complete systems solutions while learning SunSource's sales methodology, including:
  • Prospecting and territory planning
  • Account and relationship management
  • Negotiation fundamentals
  • Customer problem-solving strategies
  • In-depth technical product training on components and systems for the Mobile Equipment Industry
  • Exposure to multiple departments, including: Applications Engineering, Design Engineering, Sales & Marketing, Customer Service, Repair & Operations, Sales and customer service training, Continuous mentorship and support, High visibility to senior leadership, and a clear and defined career growth path.
What to Expect?
  • Following the classroom and rotational training, you will spend 2-3 months in the field working alongside experienced Account Managers, learning how to develop new business and solve real customer challenges.
  • Upon successful completion of the GO2 program, you will be promoted to an Account Manager role, where you will manage your own territory and continue growing your career with SunSource.
What is Expected of You?
  • Bachelor's degree in Engineering, Engineering Technology, Agribusiness, or related field (preferred) OR Associates degree from a Fluid Power-specific program OR 1-2 years of related experience or internship and/or equivalent combination of education and experience
  • Desire to build a career in industrial sales
  • Demonstrated technical aptitude with mechanical and/or electrical principles, much of what we do requires applying mechanical and/or electrical principles on mobile and industrial equipment
  • Clear and concise communication, presentation, and phone skills
  • Professional business etiquette
  • Entrepreneurial mindset with resilience and drive
  • Willingness and ability to relocate for 18 months to Savage, MN
  • Currently positions are planned for Ohio, Michigan and Indiana.  
Sun Source Offers
  • Check us out: www.sun-source.com 
  • Competitive compensation
  • Medical, Dental, and 401(k)
  • Paid vacation and holidays
  • Tuition reimbursement
  • Ongoing training and professional development opportunities
  • Training Program Salary Range: $55,000 - $65,000 + incentive, dependent upon experience, degree, business unit, and geography
We are an Equal Employment Opportunity Employer M/F/V/D. WE PARTICIPATE IN E-Verify. If you are an individual with a disability and require an accommodation to complete the application process, please contact [email protected] to request reasonable accommodation. Only requests for accommodations in the application process will be returned.    Sun-Source | Privacy Policy
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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