ZipRecruiter

Log In

1

Machine Learning Quantum Computing Jobs in Lithonia, GA

Prophecy Technologies

Data Scientist

Atlanta, GA · On-site

... cloud computing, and machine learning techniques. Key Responsibilities: * Design and implement predictive models and machine learning algorithms to solve business problems. * Perform feature ...

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 ...

Deloitte

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100.50K - $138K/yr

... machine learning applications. Responsibilities : • Work with clients to design, develop, and ... cloud computing or on-prem technologies • Design and lead development on scalable, high ...

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 ...

Deloitte

Lead AI and Data Science Engineer - Manager

Atlanta, GA · On-site

$98.60K - $129.80K/yr

... computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure. Qualifications : Required : • Bachelor's degree ...

Deloitte

AI Data Engineer - Manager

Atlanta, GA · On-site

... computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure. Qualifications : Required : • Bachelor's degree ...

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Spark, PySpark, Apache NiFi, RServer Studio, Alteryx, Azure Machine Learning, Kubernetes, Apache ... computing, data structures, etc. * Minimum 10 years of experience in the IT function * Minimum 7 ...

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 ...

azurity

Senior Data Scientist

Atlanta, GA · On-site

Expertise in advanced analytical techniques such as descriptive statistics, machine learning ... Experience working with large data sets and distributed computing tools (e.g., Hadoop, Hive, Spark,

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

United Airlines

Gen AI Architect

Atlanta, GA

$125K - $135K/yr

The role of a machine learning professional involves applying machine learning techniques and ... Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud. Strong understanding ...

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 ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Lithonia, GA

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 May 31, 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 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 Lithonia, GA are hiring for Machine Learning Quantum Computing jobs? Cities near Lithonia, GA with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you

Data Scientist

Prophecy Technologies

Atlanta, GA • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
We are seeking an experienced Data Scientist to join our team. The ideal candidate will have strong expertise in data science, including proficiency in Python, SQL, and R programming languages, as well as experience with big data ecosystems, cloud computing, and machine learning techniques.
Key Responsibilities:
  • Design and implement predictive models and machine learning algorithms to solve business problems.
  • Perform feature selection using techniques such as PCA, Lasso, and Elastic Net.
  • Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM.
  • Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions.
  • Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib.
  • Communicate insights through compelling data storytelling for diverse stakeholders.
  • Collaborate with cross-functional teams to integrate data solutions into business processes.

Required Technical Skills:
  • Python programming language.
  • SQL programming language.
  • R programming language.
  • Skywise Palantir.
  • Domo.
  • SAS.
  • Web development languages.
  • Cloud platforms (AWS, Azure).
  • Big data ecosystems (Hadoop).

Required Qualifications:
  • 8+ years of experience in data science.
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.

Preferred Qualifications:
  • Experience with advanced analytics and big data tools.
  • Familiarity with NLP, deep learning frameworks, and modern visualization libraries.
  • Strong problem-solving and communication skills.

Apply