1

Data Engineer Ml Jobs in Georgia (NOW HIRING)

Solid understanding of data science and ML fundamentals model evaluation feature engineering experimentation. * Full stack exposure with Angular HTML CSS and TypeScript. * Core Banking or ...

Senior ML Software Engineer

Atlanta, GA · On-site

$100 - $130/hr

  • Medical

  • PTO

We are seeking an experienced Senior ML Software Engineer to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part of a cross ...

Robotics Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The Robotics Data Engineer will build and own the data foundation for autonomy, perception, and ... ML Data Enablement: Build the data infrastructure that feeds model training and evaluation ...

Data Engineer

Kennesaw, GA · On-site

$105K - $127K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Savannah, GA · On-site

$106K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Augusta, GA · On-site

$90K - $108K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Valdosta, GA · On-site

$92K - $111K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Lawrenceville, GA · On-site

$98K - $118K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Carrollton, GA · On-site

$103K - $123K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Macon, GA · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Engineer

Athens, GA · On-site

$95K - $115K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Columbus, GA · On-site

$102K - $123K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Lead Data Engineer

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Showing results 21-40

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 cities in Georgia are hiring for Data Engineer Ml jobs?

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

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.

Data Engineer

CYNET SYSTEMS

Alpharetta, GA • On-site

$55/hr

Contractor

Re-posted 26 days ago


Job description

Job Description:
  • We are seeking a Senior Prompt Engineer AI Specialist Technical Analyst to support enterprise scale Generative AI and LLM based solutions including Service Assist AI and Agent Desktop aligned initiatives. 
  • This role focuses on prompt engineering model integration AI workflow design and full stack enablement working across multiple AI models and platforms including OpenAI and other enterprise LLM providers.
  • The ideal candidate must have data science and machine learning foundations with strong Python and full stack engineering skills with Angular and can translate business problems into effective secure and scalable AI powered solutions.
Must Have:
  • 8 to 10 years of experience across AI data science machine learning or full stack engineering roles.
  • Strong hands on experience with LLMs and prompt engineering.
  • Experience integrating OpenAI and other AILLM platforms via APIs.
  • Strong proficiency in Python for AI workflows services and data processing.
  • Solid understanding of data science and ML fundamentals model evaluation feature engineering experimentation.
  • Full stack exposure with Angular HTML CSS and TypeScript.
  • Core Banking or FinancialWealth management domain working experience required.
Good to Have:
  • Experience with Service Assist AI conversational AI or agent assist platforms.
  • Exposure to embeddings vector databases or RAG architectures.
  • Familiarity with AI governance responsible AI frameworks and risk controls.
  • Cloud or AI platform certifications.
 

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media