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Machine Learning Quantum Computing Jobs in Villa Rica, GA

PRGX Global, Inc

Data Scientist

Atlanta, GA

Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ... Knowledge of cloud computing platforms such as AWS, GCP, or Azure. Our Commitment to Equal ...

Reply

AI/ML Engineer (AWS)

Atlanta, GA

Create, evaluate, and deploy machine learning solutions, including applications powered by large ... cloud computing, digital media and the Internet of Things. Reply services include Consulting ...

Dolby

Sr Data Researcher -Agentic Systems

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 ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146.29K - $304.75K/yr

Work with engineers to design and implement scalable machine learning pipelines, covering all ... Experience with distributed computing frameworks (e.g., Spark, Ray). Location: Mountain View, CA or ...

New

KPMG

Manager, GCP Architect

Atlanta, GA · On-site

... and quantum computing to design and implement real-world solutions for a variety of business ... learning, engineering excellence, and operational rigor. Qualifications: * Minimum five years of ...

Deloitte

AI Data Engineer - Manager

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure. The ...

Deloitte

AI Data Engineer - Manager

Atlanta, GA

$110.10K - $132.20K/yr

Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure. The ...

Deloitte

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100.50K - $138K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... using cloud computing or on-prem technologies * Design and lead development on scalable, high ...

Deloitte

AI Data Engineer Manager

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure. A ...

Deloitte

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100.50K - $138K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... using cloud computing or on-prem technologies * Design and lead development on scalable, high ...

Dolby

Sr Researcher - Experience Delivery

Atlanta, GA · On-site

... computing, computer networking, and IoT. Join the leader in entertainment innovation and help us ... Develop tools and frameworks to enable scalable development of machine learning models and data ...

Dolby

Sr Researcher - Color & Perception

Atlanta, GA · On-site

... 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 ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Villa Rica, GA

Machine Learning Quantum Computing information

See Villa Rica, GA salary details

$22.3K

$37.2K

$76.8K

How much do machine learning quantum computing jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning quantum computing in Villa Rica, GA is $37,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,400.00 and $40,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What cities near Villa Rica, GA are hiring for Machine Learning Quantum Computing jobs? Cities near Villa Rica, GA with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you
Data Scientist

Data Scientist

PRGX Global, Inc

Atlanta, GA

Other

Posted 21 days ago

Job description

Job Title

Data Scientist

Employment Type

Full-time

Work Authorization Requirements

Authorized to work in the United States

Language Requirements

English

About PRGX

PRGX is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients.  For more information about PRGX, visit www.prgx.com.

Job Duties & Responsibilities

·       Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships.

·       Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions.

·       Design and implement end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment.

·       Stay up-to-date with the latest research and developments in machine learning and artificial intelligence

·       Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations.

·       Mentor and guide interns on the team.

·       Other duties as assigned.

Knowledge & Qualifications

·       Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science.

·       PhD preferred.

·       Minimum of 1 year of experience applying machine learning techniques to solve complex data problems.

·       Strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods.

·       Experience with data preprocessing, feature engineering, and data visualization techniques.

·       Proficiency in Python programming, and experience working with big data tools such as Spark.

·       Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.

·       Strong problem-solving skills and attention to detail.

·       Experience with agile development methodologies and version control tools such as Git.

Preferred Qualifications:

  • Experience working with natural language processing (NLP) techniques.
  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
  • Knowledge of cloud computing platforms such as AWS, GCP, or Azure.

Our Commitment to Equal Opportunity

PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices.

Physical Requirements

Ability to sit or stand for extended periods of time, manual dexterity for typing, writing, or using office equipment, visual acuity for reading screens and documents, ability to lift or carry light items such as laptops, and speech and hearing ability for calls, virtual meetings, and in-person communication

Data Privacy

Your personal data will be handled in accordance with applicable data protection laws.  We only collect information necessary for recruitment and will not share your data without your consent.

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