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Data Engineer Ml Jobs in Decatur, GA (NOW HIRING)

Senior ML Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

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 ...

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

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

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

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 ...

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 ...

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 ...

Lead Data Engineer

Sandy Springs, GA · On-site

$113K - $136K/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 ...

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 ...

Snowflake Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Master''s degree in Computer Science, Engineering, or related technical discipline preferred. • ... and AI/ML applications. • Demonstrated experience defining data governance policies ...

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 ...

Data Engineer Lead

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Guidehouse is seeking a Data Engineer Lead to lead the design, development, and modernization of ... Experience supporting AI/ML platforms and operationalizing machine learning workflows. * AWS, Azure ...

Showing results 21-40

Data Engineer Ml information

See Decatur, GA salary details

$44.9K

$161.1K

$237.7K

How much do data engineer ml jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer ml in Decatur, GA is $161,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $166,000.00 per year, depending on experience, location, and employer.

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 Decatur, GA?

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

What job categories do people searching Data Engineer Ml jobs in Decatur, GA look for?

The top searched job categories for Data Engineer Ml jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Data Engineer Ml jobs?

Cities near Decatur, GA with the most Data Engineer Ml job openings:

Senior ML Software Engineer

Worldpay

Atlanta, GA • On-site

$117K - $155K/yr

Full-time

Re-posted 20 days ago


Job description

Ready to take your career global?

Make your mark at one of the biggest names in payments.

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-functional agile team and owning the successful launches and ongoing operations of high-profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross-functional collaborators-including ML research engineers, product managers, and platform engineers-to deliver scalable, reliable, and low-latency ML solutions.

In addition to technical expertise, this job requires strong collaboration skills.

What you'll own

Feature Development & Delivery:

  • Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.

Technical Ownership and Stewardship:

  • Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.
  • End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.

Contribute to ML platform:

  • Contribute to the evolution of the shared ML platform alongside other engineers to drive best practices and shared tooling across all products.

Operational Excellence:

  • Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards.
  • Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.

Continuous Improvement:

  • Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.

Release Management:

  • Oversee pre-release testing, coordinate releases and ensure smooth enablement of new features.

Leadership:

  • Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges.
  • Mentor and coach other engineers, supporting their professional growth.
  • Foster a culture of collaboration, continuous improvement, and knowledge sharing.

Act Like an Owner:

  • Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.
  • Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.

What you'll bring

  • 5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience
  • Proven expertise with ML model deployment, API design, and integration into production environments
  • Strong Python programming and relevant ML/data libraries
  • Experience with containerization, orchestration, and AWS cloud services
  • Building and operating CI/CD pipelines
  • Monitoring, troubleshooting, and optimizing production ML systems
  • Pre-release testing and release management
  • Demonstrated ability to work independently, navigate ambiguity, and deliver results
  • Excellent communication skills and ability to collaborate both within engineering organizations and on cross-functional teams
  • Experience with OpenAPI, FastAPI, or similar

It's a bonus if you have

  • Experience with MLFlow, model versioning, and storage
  • Familiarity with Databricks or similar platforms
  • Experience supporting high-volume, real-time data products
  • Automated testing and validation frameworks
  • Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB
  • Experience with Terraform Cloud
  • Experience in large companies, mature engineering teams, and/or highly regulated industries
  • AI-assisted coding experience (e.g. GitHub Copilot)

Why Join Us?

  • Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company's strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.
  • Autonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.
  • Collaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.

About the team

Our inclusive and global teams win together every day. We're proud to have the best minds in the industry, whom you can learn from as you grow your career. The people, the energy, and the connections are unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that transcend borders.

What makes a Globalpayer?

Globalpayers think like a client, act like an owner, and win as one team. We're curious and innovative - always finding better ways to deliver impact. We empower each other to make decisions, and our passion drives excellence in everything we set out to do.

Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.

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