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Machine Learning Quantum Computing Jobs in Lithonia, GA

This role requires advanced analytics, machine learning expertise, and strong problem-solving ... Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.

This role requires strong expertise in advanced analytics, machine learning, statistical modeling ... Experience with distributed computing frameworks * Experience deploying models in cloud ...

Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus. * 1+ years of experience in machine learning techniques such as classification, regression, neural networks, large ...

Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus. * 1+ years of experience in machine learning techniques such as classification, regression, neural networks, large ...

Linear Algebra Tutor

Atlanta, GA · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus. * 1+ years of experience in machine learning techniques such as classification, regression, neural networks, large ...

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

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

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 ...

Senior/Principal AI Engineer

Atlanta, GA

$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 ...

Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply ... Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop ...

Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply ... Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop ...

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 ...

... computing, software, cameras, sensors, networking, machine learning, servers, and physical infrastructure. The role bridges hardware, software, data science, solution architecture, field operations ...

Showing results 21-40

Machine Learning Quantum Computing information

See Lithonia, GA salary details

$23.3K

$38.9K

$80.3K

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

As of Aug 22, 2026, the average yearly pay for machine learning quantum computing in Lithonia, GA is $38,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $42,000.00 per year, depending on experience, location, and employer.

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 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 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 Lithonia, GA are hiring for Machine Learning Quantum Computing jobs?

Cities near Lithonia, GA with the most Machine Learning Quantum Computing job openings:

Data Scientist 2 4P/187

4P Consulting Inc

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Data Scientist (5–10 Years Experience)A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets.Key Responsibilities:1. Data Analysis:Collect, clean, and analyze complex datasets to uncover trends, patterns, and actionable insights.Apply statistical techniques to derive meaningful information for business strategies.2. Predictive Modeling:Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes.Utilize techniques such as regression analysis, classification, and clustering.3. Data Visualization:Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn).Effectively communicate insights to both technical and non-technical stakeholders.4. Hypothesis Testing:Formulate and test hypotheses to statistically validate business decisions and recommendations.5. Feature Engineering:Engineer and select relevant features to optimize the performance of machine learning models.6. Algorithm Development:Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks.7. Data Integration:Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses.8. Model Deployment:Deploy machine learning models into production environments to support real-time analytics and decision-making.9. A/B Testing:Design and evaluate A/B tests to assess the impact of process or product changes.10. Data Ethics:Ensure data handling practices meet ethical standards, including privacy and compliance with regulations.11. Cross-functional Collaboration:Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals.12. Mentorship:Provide guidance and mentorship to junior data scientists and analysts to support team development.13. Continuous Learning:Stay updated on the latest data science tools, trends, and best practices through professional development.Qualifications:Education: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). Master's or Ph.D. is a plus.Experience: 5 to 10 years in data science, with experience in machine learning and statistical analysis.Programming Languages & Tools: Proficiency in Python, R, or Julia.Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn).Database Skills: Strong understanding of databases and SQL-based data manipulation.Additional Skills: Advanced problem-solving and critical thinking abilities.Strong communication skills for conveying technical findings to diverse audiences.Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.Awareness of data ethics and regulatory compliance.