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Quantum Machine Learning Engineer Jobs in Georgia

AppFolio

Sr. Machine Learning Engineer

Atlanta, GA · Remote

$100.50K - $138K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA

$100.50K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA

$100.50K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · Remote

$85.92 - $130/hr

* Senior MLOps Engineer (Contractor) About the Role: * Client is seeking an experienced Senior MLOps Engineer to join client's Data Science Enablement (MLOps) team as a contractor. * Candidates will be ...

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

* Senior MLOps Engineer (Contractor) About the Role: * Client is seeking an experienced Senior MLOps Engineer to join client's Data Science Enablement (MLOps) team as a contractor. * Candidates will be ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Workday

Sr Machine Learning Engineer

Atlanta, GA

$159.60K - $276K/yr

... Machine Learning driven features with Python (including NumPy, SciPy, Pandas, TensorFlow, Pytorch) Other Qualifications: * Strong programming skills in Python with proficiency in relevant libraries ...

Athena Technology Group

ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability Job Summary We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · On-site +1

$66.90K - $90.50K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$66.80K - $90.40K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.

SynergisticIT

AI & Machine Learning Engineer

Flovilla, GA

$104.10K - $125.10K/yr

... presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you. Candidate's Outcome : Best Programmers in USA | Best Coding Bootcamp ...

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Quantum Machine Learning Engineer information

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$26.6K

$108.7K

$163.4K

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

As of Jun 1, 2026, the average yearly pay for quantum machine learning engineer in Georgia is $108,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $130,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.

How do Quantum Machine Learning Engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

What is a Quantum Machine Learning Engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.
What are popular job titles related to Quantum Machine Learning Engineer jobs in Georgia? For Quantum Machine Learning Engineer jobs in Georgia, the most frequently searched job titles are:
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What cities in Georgia are hiring for Quantum Machine Learning Engineer jobs? Cities in Georgia with the most Quantum Machine Learning Engineer job openings:
Quantum Machine Learning Engineer jobs near you

Machine Learning Engineer 3 (AI Engineer)

4pconsultinginc

Atlanta, GA • On-site

Contractor

Posted 14 days ago

Job description

Machine Learning Engineer 3 (AI Engineer)

Location: Atlanta, GA

Client- Southern Company Gas

Contract- 1 Year
 

Job Summary

We are seeking a highly skilled Machine Learning Engineer (Level 3) with 5–10 years of experience to design, develop, and deploy advanced AI models and systems. This role requires expertise in machine learning, data analysis, and model deployment to optimize business operations and drive innovation within the utilities and energy sector.

The successful candidate will collaborate with cross-functional teams—including data scientists, engineers, and business stakeholders—to integrate AI solutions into real-world applications that support operational efficiency, customer service, and sustainability initiatives.

Key Responsibilities

  • AI Model Development: Design and implement machine learning models and algorithms to address utility-specific challenges such as grid optimization, asset reliability, predictive maintenance, and customer analytics.

  • Data Analysis: Analyze large, complex datasets from SCADA, AMI, and IoT systems to extract actionable insights.

  • Model Training & Evaluation: Train, test, and validate AI models to ensure accuracy, scalability, and compliance with industry reliability standards.

  • Deployment & Integration: Deploy AI solutions into production systems and integrate with enterprise platforms (e.g., Azure, Maximo, EMS/DMS systems).

  • Innovation: Stay current with the latest advancements in AI/ML and recommend solutions that can enhance grid resilience, safety, and efficiency.

  • Collaboration: Partner with engineering, IT, and business units to define requirements and deliver business-aligned AI solutions.

  • Performance Monitoring: Continuously monitor AI models and refine as needed to maintain performance and compliance.

  • Documentation & Knowledge Sharing: Create clear documentation of models, workflows, and processes for reuse and compliance.

Qualifications

Education:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.

Experience:

  • 5–10 years of experience in AI, ML, or data science roles, with proven success in AI model development and deployment.

  • Industry experience in utilities, energy, or large-scale infrastructure data is preferred.

Technical Skills:

  • Proficiency in Python, R, or Java.

  • Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.

  • Strong grasp of data structures, algorithms, and applied statistics.

  • Familiarity with cloud platforms such as Azure ML and Azure Databricks (preferred), AWS or Google Cloud (a plus).

  • Experience with big data tools (e.g., Spark, Hadoop) is desirable.

  • Exposure to natural language processing (NLP) or computer vision a plus.

Soft Skills:

  • Strong analytical and problem-solving abilities.

  • Excellent communication skills for cross-functional collaboration.

  • Ability to work independently and manage multiple projects simultaneously.

  • Experience working in agile or iterative development environments.

Preferred Qualifications

  • Lighting up AI/ML use cases in the utility/energy sector (e.g., outage prediction, DERMS optimization, vegetation management analytics).

  • Certifications in AI/ML, data science, or cloud platforms (Azure, AWS, GCP).

  • Experience with MLOps pipelines and CI/CD integration for model deployment.