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Mobile Machine Learning Jobs in Georgia (NOW HIRING)

US_East | Data Engineer_L2

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Machine learning and AI is a plus. Able to write AWS lambda function to pull data from AWS redshift ... Phone/Mobile Number: Skype ID: Email Address: Visa Type: Visa Expiration Date: Hiring Status: Are ...

... 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 ...

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... NET Framework/Core C#. * Machine Learning Frameworks : 3+ years of experience with with ML ...

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... NET Framework/Core C#. * Machine Learning Frameworks : 3+ years of experience with with ML ...

OTM Cloud Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

Experience with LNM, ODA, mobile, and machine learning capabilities is a plus. * Extensive experience with OTM functional configuration . * Ability to suggest and make OTM configuration changes to ...

Staff Real-Time AI Systems Architect

Atlanta, GA · On-site

$233.70K/yr

Partner to develop a Cloud backend solution, Web App and mobile applications for Android/iOS which ... A solid foundation in statistics, data science, AI/machine learning, and large-scale data ...

Data Architect

Alpharetta, GA · On-site

$120K - $198K/yr

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Collaborate with data scientists to prepare training datasets and operationalize machine learning ...

... edge & mobile computing, computer networking, and IoT. We are seeking a talented Senior AI ... machine learning with decades of leadership in perceptual signal processing. In this role, you will ...

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Mobile Machine Learning information

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 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 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 the most commonly searched types of Machine Learning jobs in Georgia? The most popular types of 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:
US_East | Data Engineer_L2

US_East | Data Engineer_L2

Redolent, Inc.

Atlanta, GA • On-site

$110.10K - $132.20K/yr

Full-time

Posted 8 days ago


Job description

Description:
Possible 3 Month CTH | No Fees | Do Not Re-Post | Confidential
Submit candidates under their legal name and use only Capgemini template
Role: Data Engineer
Work location: Remote
Start date: 11/01/2021
Background check MANDATORY
Request ID: 11083265
JOB DESCRIPTION
Great experience in Python especially with data analysis tools. Familiar with regression algorithm. Machine learning and AI is a plus. Able to write AWS lambda function to pull data from AWS redshift. Run SQL query.
Please add the below to the comments section:
Legal Name:
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If not indicate # of layers and names of the company:
Indicate if the Candidate has worked in CG before and where:
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Skills summary:
**VIDEO INTERVIEW IS MANDATORY
- ERM
ERM Daycira Salguero | Capgemini North America
Tel.: +1 888-229-2961

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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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