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Mobile Machine Learning Jobs in Atlanta, GA (NOW HIRING)

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

A.I. Transformation Lead

Alpharetta, GA · On-site

$141K - $225K/yr

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Lead the design, development, and deployment of AI and machine learning solutions across business ...

... edge & mobile computing, computer networking, and IoT. Dolby is looking for a talented Senior ... Deep knowledge on current machine learning literature. * Strong publication record, with ...

AI Engineer

Alpharetta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Director, AI - Cyber Security I

Alpharetta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Google Cloud certifications such as Professional Machine Learning Engineer or Professional Cloud ...

Senior Audio AI Researcher

Atlanta, GA · On-site

$88K - $120K/yr

... edge & mobile computing, computer networking, and IoT. What you will do: You will push the ... Good knowledge about current machine learning literature. * Highly skilled in Python and one or ...

Director, AI - Cyber Security I

Alpharetta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Google Cloud certifications such as Professional Machine Learning Engineer or Professional Cloud ...

... edge & mobile computing, computer networking, and IoT. At Dolby Laboratories, we investigate ... Research state-of-the-art computer vision and machine learning algorithms and prior art in the ...

AI and Data Solutions Manager

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Additionally, we enable other global companies to turn their visions into reality - from mobile ... Lead planning, coordination, execution, and delivery of AI, machine learning, and data solution ...

AI and Data Solutions Manager

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Additionally, we enable other global companies to turn their visions into reality - from mobile ... Lead planning, coordination, execution, and delivery of AI, machine learning, and data solution ...

Showing results 21-40

Mobile Machine Learning information

See Atlanta, GA salary details

$11

$24

$114

How much do mobile machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for mobile machine learning in Atlanta, GA is $24.35, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $19.42 per hour, depending on experience, location, and employer.

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 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 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 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 Atlanta, GA?

The most popular types of Machine Learning jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Mobile Machine Learning jobs?

Cities near Atlanta, GA with the most Mobile Machine Learning job openings:

Full-time

Re-posted 6 days ago


Job description

Role: ML/AI Engineers

(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)

Summary:

 Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.

About Adidev Technologies Inc.  

Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.

 

Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.

Global Presence: Our diverse employee workforce spans four continents.

Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.

How We'll Guide You

Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.

Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.

Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.

Career Growth: We facilitate industry experience to propel your technical journey forward.

 

Key Responsibilities:

·        Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.

·        Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.

·        Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

·        Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.

·        Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.

·        Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.

·        Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.

·        Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.

·        Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.

 

What You’ll Bring

 

Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.

Software engineering and/or Data Engineering background, especially in one of the major clouds.

Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks

Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. 

How to Apply:

Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.

Perks and Beyond! 

Competitive salary range: Based on experience and market value

Pack your bags! Paid relocation is on us.

Support, even from afar, with our remote assistance.

Regular salary reviews? You betcha!

Ready to Embark? 

we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects.  At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.

Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life.  Your unique perspective could be the catalyst for our next revolutionary breakthrough

Employment Type: FULL_TIME