ZipRecruiter

Log In

1

Healthcare Machine Learning Jobs in Atlanta, GA (NOW HIRING)

RITWIK Infotech Inc

AI Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Atlanta,GA Duration: contract Job Summary We are seeking an experienced AI Architect with a strong healthcare background to design, develop, and implement enterprise-grade AI and Machine Learning ...

TonicAI

Staff AI/Machine Learning Engineer

Atlanta, GA · On-site

$200 - $260/hr

Thousands of developers use data generated with Tonic.ai on a daily basis to build their products faster in industries as wide ranging as healthcare, financial services, logistics, edtech, and e ...

Crew Career Center

Data Scientist

Atlanta, GA

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

Patientco

Data Scientist

Atlanta, GA

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

Florence Healthcare - US

Director of AI

Atlanta, GA

Lead the development and operationalization of machine learning pipelines, including data ... , Healthcare or regulated SaaS environments Hands-on Technical Expectations: * Stay current with ...

New

Patientco

Senior Data Scientist

Atlanta, GA

Lead the design, development, and implementation of sophisticated machine learning models and ... Prior experience in the healthcare technology or financial services industry is a plus. ABOUT ...

New

previous page

Showing results 41-60

All JobsHealthcare Machine Learning JobsHealthcare Machine Learning Jobs in Atlanta, GA

Healthcare Machine Learning information

See Atlanta, GA salary details

$10.6K

$94.2K

$154.3K

How much do healthcare machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for healthcare machine learning in Atlanta, GA is $94,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $21,200.00 and $153,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in healthcare machine learning?

Professionals in Healthcare Machine Learning often encounter challenges such as navigating complex, unstructured, or incomplete healthcare data while ensuring strict compliance with privacy regulations like HIPAA. They must also bridge the gap between technical requirements and clinical needs, collaborating closely with medical professionals who may not have a technical background. Additionally, validating and interpreting machine learning models for real-world clinical use adds another layer of complexity, as solutions must be both accurate and explainable. Overcoming these challenges requires strong technical skills, effective teamwork, and a commitment to ethical, patient-centered solutions.

What does machine learning do in healthcare?

Healthcare machine learning involves developing algorithms that analyze medical data to assist in diagnosis, treatment planning, and predicting patient outcomes. Professionals in this field use tools like Python and TensorFlow, and often require knowledge of medical terminology and data privacy regulations to improve healthcare delivery.

What is a healthcare machine learning?

A Healthcare Machine Learning job involves developing and applying machine learning models to analyze medical data and improve healthcare outcomes. Professionals in this role work with electronic health records, medical imaging, genomics, and other healthcare data to assist in disease prediction, diagnosis, and personalized treatments. They collaborate with clinicians, data scientists, and engineers to ensure models are clinically relevant and ethically sound. Strong knowledge of machine learning, data preprocessing, and regulatory compliance (such as HIPAA) is essential.

What are the key skills and qualifications needed to thrive in healthcare machine learning?

To thrive in Healthcare Machine Learning, you need strong expertise in data science, machine learning algorithms, and biomedical informatics, often supported by an advanced degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and healthcare data standards (like HL7 or FHIR) is highly beneficial, and certifications in data science or health informatics can provide an edge. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to diverse healthcare teams are valuable soft skills. These competencies are vital for developing robust, ethically sound machine learning solutions that improve clinical decision-making and patient outcomes.

What are the most commonly searched types of Healthcare Machine Learning jobs in Atlanta, GA?

The most popular types of Healthcare Machine Learning jobs in Atlanta, GA are:

What are popular job titles related to Healthcare Machine Learning jobs in Atlanta, GA?

For Healthcare Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Healthcare Machine Learning jobs in Atlanta, GA look for?

The top searched job categories for Healthcare Machine Learning jobs in Atlanta, GA are:

Healthcare Machine Learning jobs near you
Infographic showing various Healthcare Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 42% Full Time, 29% Part Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $94,242 per year, or $45.3 per hour.

AI Architect

RITWIK Infotech Inc

Atlanta, GA • On-site

$60.50 - $79.75/hr

Other

Posted 15 days ago

Job description

Role:AI Architect with Healthcare Background
Location: Atlanta,GA
Duration: contract
Job Summary
We are seeking an experienced AI Architect with a strong healthcare background to design, develop, and implement enterprise-grade AI and Machine Learning solutions that improve clinical, operational, and business outcomes. The ideal candidate will have expertise in AI/ML technologies, cloud platforms, healthcare interoperability standards, and regulatory compliance, with experience delivering AI solutions in healthcare environments. Key Responsibilities
  • Design and implement scalable AI/ML architectures for healthcare applications.
  • Collaborate with clinical, business, and IT stakeholders to identify AI use cases and solution strategies.
  • Develop AI-powered solutions for clinical decision support, predictive analytics, medical imaging, patient engagement, and operational efficiency.
  • Build and deploy Generative AI, NLP, and Large Language Model (LLM) solutions for healthcare workflows.
  • Design data pipelines for structured and unstructured healthcare data.
  • Integrate AI solutions with EHR/EMR systems and healthcare applications.
  • Ensure AI solutions comply with healthcare security, privacy, and regulatory standards.
  • Establish MLOps processes for model deployment, monitoring, governance, and lifecycle management.
  • Evaluate emerging AI technologies and recommend best practices.
  • Lead architecture reviews, proof-of-concepts, and enterprise AI initiatives.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Healthcare Informatics, or a related field.
  • 8+ years of experience in software engineering, AI/ML, cloud architecture, or solution architecture.
  • 3+ years of experience architecting AI solutions within the healthcare industry.
  • Strong knowledge of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI.
  • Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agents.
  • Hands-on experience with Python, SQL, and AI frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, or similar.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience deploying AI solutions using Kubernetes, Docker, and MLOps tools.
Healthcare Domain Expertise
  • Experience working with Electronic Health Records (EHR/EMR) systems such as Epic, Cerner, or Meditech.
  • Strong understanding of healthcare interoperability standards including HL7, FHIR, CDA, and DICOM.
  • Knowledge of healthcare regulations including HIPAA, HITECH, and data privacy/security best practices.
  • Experience with clinical data, claims data, population health, or value-based care initiatives.
Preferred Skills
  • Experience with Azure OpenAI, OpenAI APIs, Google Vertex AI, or Amazon Bedrock.
  • Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or Milvus.
  • Experience with data engineering platforms such as Databricks, Snowflake, Spark, or Kafka.
  • Familiarity with DevOps, CI/CD, Infrastructure as Code (Terraform), and monitoring tools.
  • Strong communication, leadership, and stakeholder management skills.
Preferred Certifications
  • AWS Certified Solutions Architect
  • Microsoft Azure AI Engineer Associate
  • Google Professional Machine Learning Engineer
  • Healthcare-related certifications (preferred)
Desired Experience
  • 10+ years of IT experience with 5+ years in AI architecture.
  • Proven experience leading enterprise AI transformation initiatives in healthcare.
  • Experience delivering scalable, secure, and compliant AI platforms for hospitals, health systems, payers, or life sciences organizations.

Apply