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Mobile Machine Learning Jobs in Georgia (NOW HIRING)

Infinite Resource Solutions

Senior Developer

Alpharetta, GA · On-site

$53.25 - $70.25/hr

We build a wide variety of solutions from automated infrastructure and cloud-based systems, to machine learning and user experiences for web, mobile and IoT. We're looking for people who want to join ...

Dolby

Senior Data Researcher

Atlanta, GA · On-site

... mobile computing, computer networking, and IoT. What You Will Accomplish Sight and Sound play a ... Develop tools and frameworks to enable scalable development of machine learning models and data ...

Adidev Technologies Inc

ML/AI Engineer

Alpharetta, GA · Remote

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 Technologies Inc

ML/AI Engineers

Atlanta, GA · Remote

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 Technologies Inc

ML/AI Engineer

Alpharetta, GA · On-site

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 Technologies Inc

ML/AI Engineers

Atlanta, GA · On-site

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 ...

Monitise

AI Engineer

Alpharetta, GA · 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 ...

Dolby

Senior Generative AI Researcher

Atlanta, GA · On-site

... 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 ...

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Mobile Machine Learning information

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 Georgia? The most popular types of Machine Learning jobs in Georgia are:
What are popular job titles related to Mobile Machine Learning jobs in Georgia? For Mobile Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Georgia look for? The top searched job categories for Mobile Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Mobile Machine Learning jobs? Cities in Georgia with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you
Machine Learning Software Engineer (AI)

Machine Learning Software Engineer (AI)

Fiserv, Inc.

Alpharetta, GA • On-site

Full-time

Re-posted 28 days ago

Fiserv rating

7.6

Company rating: 7.6 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

109th of 146 rated financial services

Job description

Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Machine Learning Software Engineer (AI)
What does a successful Machine Learning Software Engineer (AI) do at Fiserv?
At Fiserv, you build production machine learning software that powers real-time decisioning at scale across payments and financial services. You translate model concepts into reliable services and data pipelines with strong performance, observability, and operational discipline. You partner with product, data science, and platform engineering to deliver measurable outcomes and continuously improve models in production.
What you will do
  • Architect, design, and implement scalable ML models and real-time inference services for high-throughput, low-latency decisioning.
  • Build and optimize data ingestion and feature pipelines using Kafka, Airflow, and Spark to enable consistent, high-quality feature extraction.
  • Collaborate with data scientists and product engineers to translate complex business requirements into technical specifications and deployable ML solutions.
  • Conduct structured experimentation using frameworks such as TensorFlow and PyTorch, selecting approaches that balance accuracy, explainability, and production constraints.
  • Deploy and operate ML applications using Docker and Kubernetes in cloud environments, including release automation, monitoring, and ongoing optimization.

What you must have
  • 7+ years of experience in machine learning and data science.
  • 7+ years of experience deploying AI solutions in cloud environments.
  • 5+ years of experience driving large-scale projects in a matrixed environment (project management and/or consulting).
  • Bachelor's degree in computer science, data science, or a related field.

What would be nice to have
  • 6+ years of experience in the financial services industry.
  • 5+ years of proficiency in Python, Java, or Scala, including hands-on use of ML libraries (TensorFlow, Keras, Scikit-learn).
  • 4+ years of experience with SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra).

This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island, Vermont, Virginia, Maine or Washington.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.
Thank you for considering employment with Fiserv. Please:
  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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