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Data Engineer Ml Jobs in Georgia (NOW HIRING)

Inspire Brands

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design ... Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot ...

Honeywell

Lead Data Engineer

Atlanta, GA · On-site

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... Proven experience building data pipelines for GenAI or ML applications: RAG systems, embedding ...

Inspire Brands, Inc.

Lead Data Engineer

Sandy Springs, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design ... Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot ...

Inspire Brands

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design ... Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot ...

NTT DATA Americas, Inc

AI / ML Engineer

Sandy Springs, GA · On-site

$60 - $70/hr

Contract/Permanent Role Summary NTT DATA's Client is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal ...

IRB USA Inspire Resources

Lead Data Engineer

Atlanta, GA · On-site

$140 - $200/hr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design ... Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot ...

New

4P Consulting Inc.

Data Engineer IV 4P/792

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer IV Location: Atlanta, GA Duration: 6 Months Client: Southern Company Services ... Preferred Qualifications · Experience with AI/ML platforms, agent frameworks, vector databases ...

QGenda

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... Experience preparing datasets and data structures for AI/ML use cases, including NLP-driven ...

Worldpay

ML Software Engineering Lead

Atlanta, GA · On-site

$98K - $129K/yr

In this strategic role, you will collaborate closely with product, data science, platform engineers, and other product delivery teams to translate ML models and data-driven algorithms into robust ...

AVEVA Denmark

Senior Data Engineer

Alpharetta, GA · On-site

$140 - $190/hr

We are looking for a Senior AI Data Engineer to design and build scalable, secure, and ... Exposure to building pipelines for AI/ML or Agentic AI use cases * Solid understanding of ...

New

AVEVA Group

Senior Data Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Senior AI Data Engineer Location: Atlanta, GA (Hybrid) Organization: RIB North America (RIB NAM ... Exposure to building pipelines for AI/ML or Agentic AI use cases * Solid understanding of ...

Aveva

Senior Data Engineer

Alpharetta, GA

$103K - $140K/yr

Senior AI Data Engineer Location: Atlanta, GA (Hybrid) Organization: RIB North America (RIB NAM ... Exposure to building pipelines for AI/ML or Agentic AI use cases * Solid understanding of ...

R2 Technologies Corporation

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer Joining Location: Remote due to Covid but eventually (Alpharetta, GA) # of ... We are transforming corporations through deep domain expertise, knowledge-based ML platforms, as ...

QGenda

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... Experience preparing datasets and data structures for AI/ML use cases, including NLP-driven ...

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All JobsData Engineer Ml JobsData Engineer Ml Jobs in Georgia

Data Engineer Ml information

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer Ml jobs in Georgia?

For Data Engineer Ml jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Engineer Ml jobs in Georgia look for?

The top searched job categories for Data Engineer Ml jobs in Georgia are:

What cities in Georgia are hiring for Data Engineer Ml jobs?

Cities in Georgia with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Lead Data Engineer

Inspire Brands

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Re-posted 11 days ago

Inspire Brands rating

5.8

Company rating: 5.8 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

29th of 107 rated fast food restaurants

Job description

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality rules, data storage etc.) using cutting edge AI solutions (Generative AI, Agentic AI, etc.). The candidate will need to possess strong technical, analytical, programming and critical thinking skills.

RESPONSIBILITIES

  • Lead/guide multiple technical data engineering team members
  • Lead by example - designing, building, maintaining and using of our platforms and services to manage data
  • Design, develop, deploy including documenting AI solutions from concept to operationalization
  • Demonstrate and guide implementation of Infrastructure as code, automated testing and modern observability strategies
  • Responsible for growing an engineering culture of craftsmanship through mentoring, technical leadership as well as formal and informal presentations across data teams at Inspire
  • Work closely with Product owners/managers to understand the business needs
  • Collaborate with architects, data modelers and other team members to design Data and AI jobs to fulfill business needs
  • Lead sessions with data engineers and provide necessary guidance to solve technical challenges
  • Develop new and/or enhance existing data processes (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality)
  • Actively contribute towards setting up and refining data engineering best practices
  • Help data engineers adhere to coding standards, best practices, etc. and produce production deployable code that is robust, scalable and reusable
  • Document technical artifacts for data engineering solutions
  • Stay up-to-date with latest AI trends and integrate emerging technologies to drive improved system performance with balanced operational pragmatism

EDUCATION AND EXPERIENCE QUALIFICATIONS

  • 8+ years of experience in a data engineering role required
  • 5+ years of experience with advanced SQL queries, scripts, stored procedures, materialized views, and views
  • 5+ years of hands-on design and development experience in the data space specifically focused on ELT to load data and perform transformations in databases
  • 3+ years of experience with DevOps Models utilizing CI/CD tools
  • Experience in one of the cloud platforms like Azure, AWS, GCP is required, Azure specifically is preferred
  • Demonstrated hands on experience with Python is required
  • Snowflake experience a plus

REQUIRED KNOWLEDGE, SKILLS, OR ABILITIES

  • Strong ability to use analytical SQL functions
  • Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot, Azure OpenAI, AI Search, Temporal, Pydantic AI, etc
  • Strong expertise in LLMs building agents: open/closed-source models, advanced prompt engineering techniques, RAG, Agentic AI, document processing, vector/hybrid search, guardrails, observability & monitoring, and LLM evaluation
  • Ability to work hands-on in a Cloud environment of Azure Cloud Platform (ADLS, Blob)
  • Strong skills one of the ETL tools like Informatica, Talend,Azure Data Factory, and BI tools like Tableau preferred
  • Strong skills with orchestration tools like ApacheAirflow
  • Expert ability to analyze data models
  • Strong skills performance tuning and scaling of services
  • Good interpersonal skills; comfort and competence in dealing with different teams within the organization
  • Skilled leveraging Agile practices and methodologies


This position is based in our Atlanta Support Center, with an expected on-site presence of 80%.


Inspire is a multi-brand restaurant company whose portfolio includes more than 33,300 Arby's, Baskin-Robbins, Buffalo Wild Wings, Dunkin', Jimmy John's, and SONIC restaurants worldwide. We're made up of some of the world's most iconic restaurant brands, but we're much more than just a restaurant company. We're a team of hundreds of thousands who individually and collectively are changing the way people eat, drink, and gather around the table. We know that food is much more than a staple-it's an experience. At Inspire, that's our purpose: to ignite and nourish flavorful experiences.

What Inspire Brands employees say

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Benefits

Hours and flexibility

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About Inspire Brands

Sourced by ZipRecruiter

Inspire Brands Inc., located in Atlanta, GA, United States, operates in the foodservice industry as a multi-brand restaurant company, making it among the biggest restaurant companies globally. Their portfolio includes well-known restaurant brands such as Arby's, Buffalo Wild Wings, Sonic, and Jimmy John's, reflecting their commitment to innovation and quality. Founded in 2018 as a result of a consolidation of various restaurant brands under one corporate umbrella, Inspire Brands was formed with a vision to invigorate excellent brands and supercharge their long-term growth.

Industry

Food services and drinking places

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

2018

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