Generative AI Engineer
Atlanta, GA · On-site
... services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology • Strong ... Function - Data and Analytics Schedule: Full time
Generative AI Engineer
Atlanta, GA · On-site
... services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology • Strong ... Function - Data and Analytics Schedule: Full time
Generative AI Engineer
Atlanta, GA · On-site
... services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology • Strong ... Function - Data and Analytics Schedule: Full time
Generative AI Engineer
Atlanta, GA · On-site
... services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology • Strong ... Function - Data and Analytics Schedule: Full time
Generative AI Engineer
Atlanta, GA · On-site
... services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology • Strong ... Function - Data and Analytics Schedule: Full time
Generative AI Engineer
Atlanta, GA · On-site
... services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology • Strong ... Function - Data and Analytics Schedule: Full time
ML/AI Engineer
Alpharetta, GA · Remote
... including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry ... FULL_TIME
ML/AI Engineer
Alpharetta, GA · Remote
... including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry ... FULL_TIME
ML/AI Engineers
Atlanta, GA · Remote
... including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry ... FULL_TIME
ML/AI Engineers
Atlanta, GA · Remote
... including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry ... FULL_TIME
Full Time Automl information
See Atlanta, GA salary details
$12.48 - $13.53
11% of jobs
$14.48 is the 25th percentile. Wages below this are outliers.
$13.53 - $14.58
16% of jobs
The median wage is $15.64 / hr.
$14.58 - $15.64
23% of jobs
$15.64 - $16.69
11% of jobs
$16.69 - $17.74
11% of jobs
$17.92 is the 75th percentile. Wages above this are outliers.
$17.74 - $18.79
21% of jobs
$18.79 - $19.84
3% of jobs
$19.84 - $20.89
1% of jobs
$20.89 - $21.94
1% of jobs
$21.94 - $22.99
1% of jobs
$22.99 - $24.04
1% of jobs
$12
$16
$24
How much do full time automl jobs pay per hour?
As of Sep 6, 2026, the average hourly pay for full time automl in Atlanta, GA is $16.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $18.27 per hour, depending on experience, location, and employer.
What is a full time AutoML professional?
A Full Time AutoML (Automated Machine Learning) professional is someone who works exclusively on developing, implementing, and optimizing automated systems that build and deploy machine learning models. These professionals use AutoML tools and frameworks to streamline the process of selecting algorithms, feature engineering, and hyperparameter tuning, making machine learning more accessible and efficient. Their work helps organizations leverage AI without requiring deep expertise in data science, enabling faster and more scalable solutions. Full Time AutoML roles may involve collaborating with data scientists, software engineers, and business stakeholders to integrate automated ML pipelines into products or services.
What are the key skills and qualifications needed to thrive as an AutoML engineer?
To thrive as an AutoML Engineer, you need a strong background in machine learning, statistics, programming (Python or R), and a relevant degree in computer science or a related field. Familiarity with AutoML frameworks (such as Google AutoML, H2O.ai, or Auto-sklearn), cloud platforms, and data processing tools is typically required. Problem-solving ability, collaboration, and adaptability are essential soft skills that help navigate rapidly evolving technologies and team environments. These skills and qualities are important to efficiently develop, deploy, and maintain automated machine learning solutions that drive business value.
What are some common challenges faced by professionals in full time AutoML roles, and how can they be addressed?
Professionals working full-time in AutoML often encounter challenges like automating complex workflows for diverse datasets and ensuring model interpretability for stakeholders. Managing computational resources efficiently and integrating AutoML solutions into existing data pipelines are frequent hurdles. To address these, staying up-to-date with the latest AutoML libraries, collaborating closely with data engineers and domain experts, and emphasizing clear documentation can greatly improve workflow and project outcomes.
What is the difference between Full Time Automl vs Data Scientist?
| Aspect | Full Time Automl | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or higher in CS, Data Science, or related fields; familiarity with ML tools | Bachelor's or higher in CS, Statistics, or related fields; often advanced degrees |
| Work Environment | Tech companies, AI startups, or teams focusing on automation and ML pipelines | Research labs, tech firms, or industries applying data analysis and modeling |
| Industry Usage | Primarily in AI/ML automation platforms and tools | Across various sectors including finance, healthcare, and marketing |
| Common Search/Comparison | Yes | Yes |
Full Time Automl specialists focus on developing and deploying automated machine learning solutions, often working with ML platforms and tools. Data Scientists analyze data, build models, and interpret results. While both roles require knowledge of machine learning, Automl roles emphasize automation tools, whereas Data Scientists focus on manual model development and analysis.
What are popular job titles related to Full Time Automl jobs in Atlanta, GA?
For Full Time Automl jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Full Time Automl jobs in Atlanta, GA look for?
The top searched job categories for Full Time Automl jobs in Atlanta, GA are:
Full-time
Medical, Retirement, PTO
Re-posted 15 days ago
Equifax rating
7.5
Based on 28 frontline employees who took The Breakroom Quiz
Job description
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that generate actionable insights for our business and customers.
This key position involves working with large data sources on Google Cloud Platform (GCP) and Google AI Platform, designing, developing, and implementing cutting-edge generative AI solutions on Vertex AI.
This is a unique opportunity to shape the future of AI within the company, driving innovation by leveraging our cloud-native technology (GCP/Vertex AI). Strong communication skills are required, and financial industry experience is preferred. This position provides an opportunity to work with best-in-class technology and a rich big data ecosystem.
This role requires being in either our Alpharetta or Atlanta, Georgia office 4 days/week on Mon - Thurs.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
What you'll do
• Develop and deploy key components of GenAI solutions on Google Cloud Vertex AI to generate insights from structured and unstructured data.
• Integrate diverse data sources, data types, and data structures into AI / LLM based solutions, using data and technology best practices.
• Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy.
• Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics.
• Understand how business requests translate into AI-enabled analytical and technical solutions.
• Develop and maintain a deep understanding of the latest advancements in AI,
particularly in generative AI and its applications in data analysis and insight generation.
• Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.
What experience you need:
• Bachelor's degree or higher in Computer Science or Computer Engineering, Statistics, Mathematics, or a related quantitative field
• 2+ years in shipping production grade software.
• 1+ years experience in deploying solutions on modern cloud environments.
• Ability to learn and apply new technologies; passion for staying abreast of the latest advancements in Generative AI research and technology; passion for AI research and a strong desire to contribute to cutting-edge projects
• Proficiency in Python, LangChain, and either Java or C/ C++
• Experience with REST API clients and platforms such as Spring/ Flask.
• Strong communication skills of analytical results to technical and non-technical audiences alike
What could set you apart:
• Master's degree in a related field is a strong plus
• Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology
• Strong foundational skills in Linux Operating System.
• Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
• Background in credit risk, financial data analytics or risk modeling.
• Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
• Experience in Business Intelligence, data visualization, and customer insights
generation.
• Familiarity with data governance, model bias mitigation, and regulatory frameworks (GDPR, AI Act, SEC compliance).
• Experience with MLOps practices, model monitoring, and CI/CD for AI workflows.
• Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods (LoRA, PEFT).
• Hands-on experience with RAG, multi-modal AI, and hybrid AI architectures.
• Contributions to the AI community through publications, open-source projects, or conference presentations.
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Data and Analytics
Schedule:
Full time
We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that generate actionable insights for our business and customers.
This key position involves working with large data sources on Google Cloud Platform (GCP) and Google AI Platform, designing, developing, and implementing cutting-edge generative AI solutions on Vertex AI.
This is a unique opportunity to shape the future of AI within the company, driving innovation by leveraging our cloud-native technology (GCP/Vertex AI). Strong communication skills are required, and financial industry experience is preferred. This position provides an opportunity to work with best-in-class technology and a rich big data ecosystem.
This role requires being in either our Alpharetta or Atlanta, Georgia office 4 days/week on Mon - Thurs.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
What you'll do
• Develop and deploy key components of GenAI solutions on Google Cloud Vertex AI to generate insights from structured and unstructured data.
• Integrate diverse data sources, data types, and data structures into AI / LLM based solutions, using data and technology best practices.
• Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy.
• Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics.
• Understand how business requests translate into AI-enabled analytical and technical solutions.
• Develop and maintain a deep understanding of the latest advancements in AI,
particularly in generative AI and its applications in data analysis and insight generation.
• Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.
What experience you need:
• Bachelor's degree or higher in Computer Science or Computer Engineering, Statistics, Mathematics, or a related quantitative field
• 2+ years in shipping production grade software.
• 1+ years experience in deploying solutions on modern cloud environments.
• Ability to learn and apply new technologies; passion for staying abreast of the latest advancements in Generative AI research and technology; passion for AI research and a strong desire to contribute to cutting-edge projects
• Proficiency in Python, LangChain, and either Java or C/ C++
• Experience with REST API clients and platforms such as Spring/ Flask.
• Strong communication skills of analytical results to technical and non-technical audiences alike
What could set you apart:
• Master's degree in a related field is a strong plus
• Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology
• Strong foundational skills in Linux Operating System.
• Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
• Background in credit risk, financial data analytics or risk modeling.
• Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
• Experience in Business Intelligence, data visualization, and customer insights
generation.
• Familiarity with data governance, model bias mitigation, and regulatory frameworks (GDPR, AI Act, SEC compliance).
• Experience with MLOps practices, model monitoring, and CI/CD for AI workflows.
• Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods (LoRA, PEFT).
• Hands-on experience with RAG, multi-modal AI, and hybrid AI architectures.
• Contributions to the AI community through publications, open-source projects, or conference presentations.
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Data and Analytics
Schedule:
Full time
About Equifax
Sourced by ZipRecruiter
As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Atlanta, GA, US
Year founded
1899