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Medical Machine Learning Jobs in Georgia (NOW HIRING)

Design and build the end-to-end machine learning infrastructure, setup platform for transitioning ... Company-subsidized medical, dental, & vision plans * 401(k) plan with company match * Annual bonus

Design, build, and implement machine learning and statistical models to support analytics and AI ... These are some of the benefits we are delighted to offer: - Medical Inpatient and Outpatient ...

Design, build, and implement machine learning and statistical models to support analytics and AI ... These are some of the benefits we are delighted to offer: - Medical Inpatient and Outpatient ...

Design, build, and implement machine learning and statistical models to support analytics and AI ... These are some of the benefits we are delighted to offer: - Medical Inpatient and Outpatient ...

Complete familiarity with various statistical and machine learning techniquesincluding ... An aptitudefor medical informatics is preferred WHAT YOU'LL NEED Additional * Worksclosely ...

Complete familiarity with various statistical and machine learning techniquesincluding ... An aptitudefor medical informatics is preferred WHAT YOU'LL NEED Additional * Worksclosely ...

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Medical Machine Learning information

See Georgia salary details

$30.8K

$139.1K

$284.6K

How much do medical machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for medical machine learning in Georgia is $139,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $226,700.00 per year, depending on experience, location, and employer.

What is a Medical Machine Learning job?

A Medical Machine Learning job involves developing and applying AI algorithms to analyze medical data, such as imaging, electronic health records, and genomics, to improve diagnosis, treatment, and patient outcomes. Professionals in this field work with clinicians, data scientists, and engineers to create predictive models, automate medical workflows, and ensure compliance with healthcare regulations. Strong knowledge of machine learning, data processing, and healthcare-specific challenges is essential.

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

To thrive in Medical Machine Learning, you need a strong background in computer science, statistics, and biomedical sciences, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and healthcare data management systems is crucial. Strong problem-solving abilities, collaboration skills, and the ability to communicate complex technical concepts to a diverse audience make a candidate stand out. These skills are critical for developing robust, effective machine learning solutions that can impact patient care and integrate seamlessly into clinical workflows.

What types of teams do Medical Machine Learning professionals typically collaborate with in a healthcare setting?

Medical Machine Learning professionals often work in multidisciplinary teams that include data scientists, clinicians, software engineers, and regulatory experts. Collaboration with healthcare providers is common to ensure models address real clinical needs and comply with healthcare standards. You'll typically interact closely with IT departments for data access and security, as well as with research teams and sometimes external partners. Working in such dynamic teams allows you to contribute technical expertise while gaining insights from domain experts, leading to more successful and impactful machine learning projects.

How much does CVS pay AI engineers?

Salaries for AI engineers at CVS Health typically range from $100,000 to $150,000 annually, depending on experience, location, and skill set. Compensation may also include benefits such as health insurance, bonuses, and stock options, with roles often requiring proficiency in machine learning frameworks and programming languages like Python or TensorFlow.
What are the most commonly searched types of Medical Machine Learning jobs in Georgia? The most popular types of Medical Machine Learning jobs in Georgia are:
Infographic showing various Medical Machine Learning job openings in Georgia as of May 2026, with employment types broken down into 3% Internship, 79% Full Time, 12% Part Time, 3% Contract, and 3% Nights. Highlights an 88% Physical, 8% Hybrid, and 4% Remote job distribution, with an average salary of $139,096 per year, or $66.9 per hour.
Data Scientist / Machine Learning Engineer with Security Clearance

Data Scientist / Machine Learning Engineer with Security Clearance

Athena Technology Group, Inc.

Fort Eisenhower, GA

Other

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Job description

About the Company Athena Technology Group, Inc. (ATG) is a Service-Disabled Veteran Owned Small Business (SDVOSB) focused on Information Technology and Communications consulting, system engineering, integration, deployment and operation of state of the art command and control and information systems that deliver critical network centric solution to the warfighter. With a proven track record of technical support to our customers, we are looking for innovative industry professionals to join our team.

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 data science initiatives at Fort Eisenhower, GA under the IAE program. The selected candidate will develop and deploy machine learning models, process large-scale structured and unstructured data, and provide actionable insights to support mission-critical operations. Key Responsibilities * Curate and develop structured and unstructured data foundations in coordination with stakeholders * Process modeling data and perform advanced analytics * Apply machine learning, natural language processing, and network analysis techniques * Develop innovative approaches to analyze large-scale unstructured datasets * Process and index high-volume and high-velocity data streams * Develop Python-based tools and packages for data analysis and machine learning applications * Deploy and maintain notebook-based data science environments such as JupyterHub * Visualize data insights using multi-dimensional analytical tools Qualifications Required: * Active TS/SCI clearance with CI Poly and ability to obtain MEAD SIP clearance * Bachelor’s degree with 10+ years of experience, Master’s with 3–6+ years, or equivalent experience * Strong Python development experience with data science and machine learning libraries (pandas, scikit-learn, PyTorch/TensorFlow, matplotlib/plotly, networkx) * Experience with supervised and unsupervised machine learning, NLP, and network analysis * Experience maintaining and deploying JupyterHub or similar environments * Strong background in mathematics, statistics, engineering, or physics * Experience analyzing complex datasets and delivering actionable insights Desired: * IAM Level I certification * Experience with high-performance computing environments * Experience supporting DoD or intelligence community analytics programs Physical and Environmental Conditions Normal Office Environment.

Requires Sitting, Standing, Near Acuity, Speaking with colleagues and customers, Listening, Sight, Use of hands/fingers. Additional Benefits * Performance Bonuses and annual salary reviews * Health, dental, and vision insurance * Short Term Disability, Long Term Disability, and Life Insurance * 401(k) plan with company match * Opportunities for professional growth and development * A collaborative and inclusive work environment EEO Statement ATG is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law.