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

Emory Healthcare

Associate AI Engineer

Atlanta, GA · On-site

Foundational understanding of artificial intelligence, machine learning, and data science principles * Ability to assist in the development, testing, and deployment of AI applications and supporting ...

Emory Healthcare

Associate AI Engineer

Atlanta, GA · On-site

Foundational understanding of artificial intelligence, machine learning, and data science principles * Ability to assist in the development, testing, and deployment of AI applications and supporting ...

Emory Healthcare

Associate AI Engineer

Atlanta, GA · On-site

Foundational understanding of artificial intelligence, machine learning, and data science principles * Ability to assist in the development, testing, and deployment of AI applications and supporting ...

Schweid & Sons

Machine Operator Apprentice

College Park, GA · On-site

$17 - $22/hr

Perform routine inspections to ensure machinery is in good working order, assist in troubleshooting malfunctions, and perform basic repairs as needed. * Observation and Learning: Observe experienced ...

LexisNexis

Senior Data Scientist II

Alpharetta, GA · On-site

Do you enjoy combining software engineering, analytics, machine learning, and Generative AI to ... Within our Government vertical, our solutions assist government agencies and law enforcement to ...

REPAY Company

Data Scientist

Atlanta, GA · On-site

Establish and enforce AI and machine learning and data operational standards, governance, and best ... AI assistants, document intelligence). * Research and apply emerging AI techniques to improve ...

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Machine Learning Assistant information

See Atlanta, GA salary details

$12

$17

$22

How much do machine learning assistant jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for machine learning assistant in Atlanta, GA is $17.36, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $18.51 per hour, depending on experience, location, and employer.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

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

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

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

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

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

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

What cities near Atlanta, GA are hiring for Machine Learning Assistant jobs?

Cities near Atlanta, GA with the most Machine Learning Assistant job openings:

Machine Learning Assistant jobs near you

Associate AI Engineer

Atlanta, GA • On-site

Emory Healthcare
Hospitals • 10K+ employees
Learn more about Emory Healthcareexternal

Other

Posted 15 days ago

Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

Job description

Overview

Be inspired. Be rewarded. Belong. At Emory Healthcare.

At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorshipand leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:

  • Comprehensive health benefits that start day 1
  • Student Loan Repayment Assistance & Reimbursement Programs
  • Family-focused benefits
  • Wellness incentives
  • Ongoing mentorship,development,and leadership programs
  • And more

Atlanta based position requiring one onsite meeting bi-weekly

Description

The Associate AI Engineer supports the design, development, testing, and deployment of enterprise artificial intelligence (AI) solutions under the guidance of AI architects and senior engineers. This role collaborates with cross-functional teams to develop secure, scalable, and compliant AI applications that support clinical, operational, and administrative initiatives. The Associate AI Engineer contributes to the implementation of AI technologies while developing technical expertise and supporting the organization’s responsible AI objectives. This is an Atlanta based position that will require one day every other week onsite for AI team meetings. We are looking for builders in this role, willing to dive into a variety of workstreams, and passionate about AI healthcare.

RESPONSIBILITIES:

AI Solution Development:

  • Assist product managers, AI architects, and senior engineers in defining AI solution requirements, estimating user stories, and developing technical specifications
  • Participate in the hands-on development of AI solutions under the guidance of senior technical staff, including: Data ingestion and preparation - Prompt engineering - Pipeline orchestration and deployment - Quality assurance testing and validation - Front-end development and integration
  • Support the implementation, testing, troubleshooting, and optimization of AI applications and supporting technologies
  • Assist with documenting technical solutions, development processes, and implementation activities

Technical Collaboration and Support:

  • Collaborate with AI architects, engineers, product managers, and cross-functional stakeholders throughout the software development lifecycle
  • Support the development of secure, scalable, and compliant AI solutions aligned with enterprise architecture and responsible AI principles
  • Participate in technical discussions, code reviews, and knowledge-sharing activities to support continuous improvement

Continuous Learning and Innovation:

  • Develop technical knowledge of artificial intelligence, machine learning, cloud technologies, and software engineering best practices
  • Stay current with emerging AI technologies, development frameworks, and engineering methodologies to support ongoing innovation

PREFERRED QUALIFICATIONS:

  • Education: College Coursework, co-op, or internship experience in healthcare or life sciences Coursework toward or completion of an advanced degree (e.g., Master of Science, MBA, or related field)
  • Experience:
    • 2+ years of relevant software engineering, data engineering, or AI engineering experience
    • 1+ years of experience developing machine learning/artificial intelligence solutions within healthcare or life sciences
    • Exposure, education, or experience in Human-Computer Interaction (HCI)
    • Experience working in agile, cloud-based product development environments
    • Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems certifications (e.g., Cogito, Clarity, Caboodle, Cognitive Computing) or SAFe Agile or other related certifications

MINIMUM QUALIFICATIONS:

  • Education: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related field
  • Experience: 0-2 years of experience in software engineering, data engineering, machine learning/artificial intelligence (ML/AI) engineering, or a related field
  • Knowledge, Skills, and Abilities (Required):
    • Knowledge of Python and SQL programming languages
    • Foundational understanding of artificial intelligence, machine learning, and data science principles
    • Ability to assist in the development, testing, and deployment of AI applications and supporting technologies
    • Knowledge of software development lifecycle concepts and engineering best practices
    • Strong analytical and problem-solving skills
    • Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
    • Strong data visualization and reporting skills to communicate technical and operational insights
    • Ability to work collaboratively within cross-functional technical teams
    • Demonstrated commitment to continuous learning in artificial intelligence, machine learning, cloud technologies, and DevOps/MLOps practices
Additional Details

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.

Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare’s Human Resources at careers@emoryhealthcare.org. Please note that one week's advance notice is preferred.

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