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Quantum Machine Learning Jobs in Georgia (NOW HIRING)

Deploy machine learning models and ensure their effective integration into existing systems ... Engage in quantum engineering projects, applying principles of quantum mechanics to engineering ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

... and quantum computing to design and implement real-world solutions for a variety of business ... Provide expert oversight for teams building machine learning algorithms and data science solutions.

Staff Cloud Security Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

Use advanced tools, AI, machine learning, or custom-built scripts to anticipate future risks and ... Quantum Cryptographs, Extended Detection & Response (XDR), User Behavior Analytics, Cloud Security ...

Quantum Machine Learning information

See Georgia salary details

$21.5K

$36K

$74.3K

How much do quantum machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for quantum machine learning in Georgia is $35,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,400.00 and $38,800.00 per year, depending on experience, location, and employer.

What is a Quantum Machine Learning job?

A Quantum Machine Learning (QML) job involves applying principles of quantum computing to machine learning tasks. Professionals in this field develop algorithms that leverage quantum systems to improve computational efficiency and solve complex problems faster than classical methods. Responsibilities often include researching quantum algorithms, implementing quantum circuits, and working with tools like Qiskit or TensorFlow Quantum. These roles are typically found in research labs, tech companies, and startups exploring the intersection of AI and quantum technology. Strong backgrounds in quantum mechanics, linear algebra, and computer science are essential.

What are the key skills and qualifications needed to thrive in the Quantum Machine Learning position, and why are they important?

To thrive in Quantum Machine Learning, you need a solid background in quantum physics, machine learning, linear algebra, and programming—often supported by a graduate degree in a related field. Familiarity with quantum computing frameworks such as Qiskit or Cirq, and experience with conventional ML libraries like TensorFlow or PyTorch are typically expected. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals stand out. Mastery of these skills and qualities is essential for tackling complex interdisciplinary challenges and driving innovation in this rapidly evolving field.

What types of projects or problems does a Quantum Machine Learning professional typically work on?

Quantum Machine Learning professionals often work on exploratory projects at the intersection of quantum computing and artificial intelligence, such as developing new algorithms that leverage quantum hardware for faster data processing or optimizing classical ML models using quantum techniques. Daily tasks may include designing experiments, simulating quantum systems, analyzing results, and collaborating with physicists and software engineers. The work can range from foundational research to applied development, depending on the organization's focus. These roles frequently involve teamwork and staying updated on emerging academic and industry advances to ensure innovative problem-solving approaches.
What are popular job titles related to Quantum Machine Learning jobs in Georgia? For Quantum Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning jobs in Georgia look for? The top searched job categories for Quantum Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Quantum Machine Learning jobs? Cities in Georgia with the most Quantum Machine Learning job openings:
Infographic showing various Quantum Machine Learning job openings in Georgia as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 2% Part Time, 1% Contract, and 1% Nights. Highlights an 50% Physical, and 50% Hybrid job distribution, with an average salary of $35,957 per year, or $17.3 per hour.

Gen AI Engineer

Fisec Global

Atlanta, GA • On-site

Other

Posted 12 days ago


Job description

Gen AI Engineer

Atlanta GA

Full time

Job Summary
We are seeking a highly skilled and motivated Engineer to join our dynamic team. The ideal candidate will have a strong background in engineering principles and practices, with expertise in model deployment, data mining, and database design. This role involves leveraging advanced technologies to solve complex problems and contribute to innovative projects.

Duties

  • Design, develop, and implement engineering solutions that meet project requirements.
  • Deploy machine learning models and ensure their effective integration into existing systems.
  • Utilize Hadoop for big data processing and analysis.
  • Conduct data mining to extract valuable insights from large datasets.
  • Collaborate with cross-functional teams to define project specifications and timelines.
  • Use Talend for data integration and transformation tasks.
  • Write efficient SQL queries for database management and reporting purposes.
  • Engage in quantum engineering projects, applying principles of quantum mechanics to engineering challenges.
  • Create and maintain databases, ensuring optimal performance and security.
  • Develop automation scripts using VBA to enhance operational efficiency.
  • Program applications in Java to support various engineering functions.
  • Apply unsupervised learning techniques to analyze unlabelled data and derive meaningful patterns.

Qualifications

  • Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
  • Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
  • Strong background in machine learning, deep learning, and probabilistic modeling.
  • Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
  • Experience designing and implementing large-scale data pipelines and processing systems.
  • Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
  • Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
  • Strong programming skills in Python and experience working with version control systems (Git).
  • Excellent communication and teamwork skills.
  • Experience mentoring junior colleagues and interns.