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Machine Learning Quantum Computing Jobs in Stone Mountain, GA

United Airlines

Data Scientist

Atlanta, GA

... computing, and efficient resource management practices. * Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and ...

Workday

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and ... cloud computing platforms (e.g. AWS, GCP, etc.) * Proven track record of successfully leading ...

Workday, Inc.

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and ... cloud computing platforms (e.g. AWS, GCP, etc.) * Proven track record of successfully leading ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

This role involves advanced analytics, machine learning, and strong problem-solving skills to ... Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Development of machine learning models and other analytics following established workflows, while ... Familiarity with cloud computing platforms (AWS, GCS, Azure) * Experience with automated ...

Smarsh

Lead Data Scientist

Atlanta, GA · On-site

Development of machine learning models and other analytics following established workflows, while ... Familiarity with cloud computing platforms (AWS, GCS, Azure) * Experience with automated ...

Smarsh

Lead Data Scientist

Atlanta, GA

Development of machine learning models and other analytics following established workflows, while ... Familiarity with cloud computing platforms (AWS, GCS, Azure) * Experience with automated ...

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Showing results 41-60

All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Stone Mountain, GA

Machine Learning Quantum Computing information

See Stone Mountain, GA salary details

$23.1K

$38.5K

$79.6K

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

As of Aug 8, 2026, the average yearly pay for machine learning quantum computing in Stone Mountain, GA is $38,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,400.00 and $41,600.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

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 cities near Stone Mountain, GA are hiring for Machine Learning Quantum Computing jobs? Cities near Stone Mountain, GA with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you

Senior Python AI/ML Engineer (TensorFlow/PyTorch) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Senior Python AI/ML Engineer (TensorFlow/PyTorch)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an accomplished Senior Python AI/ML Engineer to develop advanced AI solutions using Python with TensorFlow or PyTorch. This role focuses on building and training machine learning models within scalable data pipelines.
Key Responsibilities
  • Design and implement AI/ML models using Python with TensorFlow or PyTorch for predictive insights.
  • Build and optimize data pipelines to preprocess and feed data into model training workflows.
  • Train, evaluate, and deploy machine learning models in production environments.
  • Collaborate with data scientists to refine models and improve accuracy and performance.
  • Ensure scalability and efficiency of AI solutions through robust pipeline design.
  • Monitor and troubleshoot model performance to maintain production reliability.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in Python development with a focus on AI and machine learning.
  • Proficiency in building and training models with TensorFlow or PyTorch for real-world applications.
  • Experience with data pipelines for preprocessing and managing ML training datasets.
  • Strong understanding of AI/ML workflows and their integration into production systems.

Preferred Qualifications
  • Familiarity with cloud platforms like AWS or Azure for deploying AI/ML models.
  • Exposure to advanced ML techniques like deep learning or reinforcement learning.
  • Knowledge of GPU optimization for accelerating model training processes.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, AI, Machine Learning, TensorFlow, PyTorch, Data Pipeline, Model Training

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