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Remote Medical Machine Learning Jobs in Canton, GA

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Medical Coder - Remote

Atlanta, GA ยท Remote

$50 - $80/hr

Job Title: Medical Coder Job Type: Contractor Location: Remote Job Overview We are seeking ... Commitment to accuracy, quality, and continuous learning in healthcare coding and technology

Showing results 21-40

Remote Medical Machine Learning information

See Canton, GA salary details

$34.5K

$155.5K

$318.2K

How much do remote medical machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote medical machine learning in Canton, GA is $155,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $253,500.00 per year, depending on experience, location, and employer.

What cities near Canton, GA are hiring for Remote Medical Machine Learning jobs?

Cities near Canton, GA with the most Remote Medical Machine Learning job openings:

Infographic showing various Remote Medical Machine Learning job openings in Canton, GA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $155,537 per year, or $74.8 per hour.

Military/Veteran Mental Health Experts - Remote

Atlanta, GA โ€ข Remote

$200 - $350/hr

Full-time

Posted 15 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.