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Mobile Machine Learning Jobs in Pontiac, MI (NOW HIRING)

Adidev Technologies Inc

Civil Engineer

Detroit, MI · Hybrid

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Adidev Technologies Inc

Civil Engineer

Detroit, MI · On-site

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

... mobile application and backend microservices. Skills Preferred: Google Cloud Platform * Google ... Basic understanding and practical experience with Machine Learning model fine-tuning. * Familiarity ...

Deloitte

Senior Consultant - SAP EAM/PM

Detroit, MI · On-site

$62.25 - $85.25/hr

... and machine learning. Qualifications Required * Bachelor's degree or Associate's degree plus 6+ ... Experience with SAP Intelligent Asset Management or SAP mobile maintenance capabilities * Current ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

... mobile application and backend microservices. Skills Preferred: Google Cloud Platform * Google ... Basic understanding and practical experience with Machine Learning model fine-tuning. * Familiarity ...

TRUMPF

Field Service Engineer

Detroit, MI

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... learning about new places, and meeting new people? Are you interested in becoming a skilled mobile ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Pontiac, MI

Mobile Machine Learning information

See Pontiac, MI salary details

$12

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$118

How much do mobile machine learning jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for mobile machine learning in Pontiac, MI is $25.15, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $20.05 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 Pontiac, MI? The most popular types of Machine Learning jobs in Pontiac, MI are:
What cities near Pontiac, MI are hiring for Mobile Machine Learning jobs? Cities near Pontiac, MI with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you

Software Development Engineer I

GM Financial

Detroit, MI • On-site

Full-time

Retirement

Re-posted 23 days ago

GM Financial rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

76th of 171 rated vehicle equipment hire

Job description


Why GM Financial Technology?
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
Software Development at GMF:
As a Software Developer at GM Financial you will be fueled by all areas of technology including: multiple domains, AI technology, new tools and coding languages. This role provides you the opportunity to hit the road with the best of your abilities and turn the corner of your new career.
Location: Las Colinas, TX and Arlington, TX
Work Arrangement: Hybrid - 2 days onsite, 3 days remote per week
Sponsorship Notice: At this time, we are unable to offer employment sponsorship for this position. This includes, but is not limited to, H-1B, TN, L1, and OPT visa types.
Responsibilities
What makes you a dream candidate?
  • Software development experience in C# or Java based technologies
  • The drive to continuously learn and adapt to new technologies
  • Demonstrate competency in the software development practices performed by Scrum teams
  • Develop product features for any or all of the following: data marketplaces, mobile applications, web applications and API services
  • Participate in migration to the public cloud within the team as appropriate
  • Contribute to test automation and participating in peer reviews to increase product quality
  • Maintain a production-first mindset focused on scale, uptime and ability to rapidly triage/resolve production issues
  • Invest in our Agile practice to continuously improve product quality, time to market and team member happiness

Qualifications
Have Other Skills? We Use These Too
  • Software development expertise in the high-level programming language used by the product team
  • Data and query analysis and optimization to deliver scalable, performant products and services
  • Test data management to drive automated, repeatable, and reliable testing
  • Participate in new feature development, automated tests, and the implementation of security controls
  • Experience working in Agile Scrum teams, suggesting and contributing to improvements (getting better/faster/happier)Demonstrates software development proficiency
  • Actively uses peer reviews and seeks out learning or other feedback mechanisms to improve software development skills
  • Forms relationships to effectively accomplish tasks and manage dependencies
  • Strong interpersonal, verbal, and writing skills
  • The SDE will have experience with the following technologies as required for the product being developed:
  • Low-code environments: Logic Apps, Outsystems
  • Enterprise Service Bus: Tibco BusinessWorks (APIs and integration workflows)
  • Pipeline Automation: Azure DevOps (YAML, ARM), Terraform, Jenkins, Chef, Octopus Deploy
  • Code Scanning: SonarQube, Checkmarx
  • Source Code repos: Git
  • Mobile: Xamarin.iOS, Xamarin.Android, Xamarin.Forms
  • UI: Angular, Javascript, CSS, Node.js, ASP.NET MVC
  • Containerization: Azure Kubernetes Service, Kubernetes (open source), Docker
  • High level programming languages: Java, C# (.NET MVC and .NET Core), Go
  • Scripting: Powershell, Bash
  • Database: Oracle, Microsoft SQL Server, NoSQL (e.g. CosmosDB)
  • Test Automation: Xamarin.UITest, Specflow, Selenium, Postman, Maven, TestNG, JMeter
  • Operating systems: Windows, Linux

Work Experience
  • Experience in software development and test automation required

Education
  • High School Diploma or equivalent required
  • Bachelor's Degree in Computer Science or related Engineering field; and/or commensurate experience preferred

What We Offer On Day One
  • 401K matching
  • Bonding leave for new parents (12 weeks, 100% paid)
  • Tuition assistance
  • Training
  • GM employee auto discount
  • Community service pay and nine company holidays.
  • Flexible hybrid work environment, 2-3 days a week in office

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive salary and bonus eligibility.
Work Life Balance: Flexible hybrid work environment at least 2 days per week in office.
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