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Manager Edge Ai Machine Learning Jobs in Georgia

Dolby

AI Architect

Atlanta, GA · On-site

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ... Partner with platform managers and engineering teams to integrate ML models into shipped products ...

Dolby Laboratories, Inc.

AI Architect

Atlanta, GA · On-site

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ... Partner with platform managers and engineering teams to integrate ML models into shipped products ...

Ksb

Machine Learning Engineer

Grovetown, GA

Metallurgical and Materials R&D Lab Manager Location: Grovetown, GA, USA (onsite) Shift: First FLSA ... You'll work at the intersection of machine learning and the physical world to build AI systems that ...

Cox Automotive

Machine Learning Lead Engineer

Smyrna, GA · On-site

$134K - $224K/yr

This role combines technical leadership in cutting-edge research with the responsibility of ... Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ...

Cox Automotive

Machine Learning Lead Engineer

Austell, GA · On-site

$134K - $224K/yr

This role combines technical leadership in cutting-edge research with the responsibility of ... Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ...

Cox Automotive

Machine Learning Lead Engineer

Marietta, GA · On-site

$134K - $224K/yr

This role combines technical leadership in cutting-edge research with the responsibility of ... Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

This role combines technical leadership in cutting-edge research with the responsibility of ... Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ...

Cox Automotive

Machine Learning Lead Engineer

Marietta, GA · On-site

$134K - $224K/yr

This role combines technical leadership in cutting-edge research with the responsibility of ... Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

This role combines technical leadership in cutting-edge research with the responsibility of ... Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

This role combines technical leadership in cutting-edge research with the responsibility of ... Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ...

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All JobsEdge Ai Machine Learning JobsManager Edge Ai Machine Learning JobsManager Edge Ai Machine Learning Jobs in Georgia

Manager Edge Ai Machine Learning information

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Georgia? The most popular types of Edge Ai Machine Learning jobs in Georgia are:
What are popular job titles related to Manager Edge Ai Machine Learning jobs in Georgia? For Manager Edge Ai Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Manager Edge Ai Machine Learning jobs in Georgia look for? The top searched job categories for Manager Edge Ai Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Manager Edge Ai Machine Learning jobs? Cities in Georgia with the most Manager Edge Ai Machine Learning job openings:
Manager Edge Ai Machine Learning jobs near you
Infographic showing various Manager Edge Ai Machine Learning job openings in Georgia as of July 2026, with employment types broken down into 74% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
MLOps Data Pipeline Engineer (Airflow & MLflow) - Q125

MLOps Data Pipeline Engineer (Airflow & MLflow) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
MLOps Data Pipeline Engineer (Airflow & MLflow)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled MLOps Data Pipeline Engineer to build and manage machine learning pipelines using Airflow and MLflow. This role focuses on integrating Spark or Python-based data workflows for efficient model training and deployment.
Key Responsibilities
  • Design and implement machine learning pipelines using Airflow for orchestration and MLflow for model management.
  • Develop data workflows with Spark or Python to preprocess and feed data into ML models.
  • Automate MLOps processes for model training, validation, and deployment using Kubeflow or similar tools.
  • Collaborate with data scientists to monitor and optimize ML pipeline performance and accuracy.
  • Ensure data pipeline scalability, reliability, and governance in production environments.
  • Troubleshoot and resolve issues in data workflows to maintain seamless ML operations.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with a focus on MLOps and machine learning pipelines.
  • Proficiency in using Airflow for pipeline orchestration and MLflow for model lifecycle management.
  • Experience with Spark or Python for building scalable data workflows in ML environments.
  • Strong understanding of MLOps practices and their integration into data engineering pipelines.

Preferred Qualifications
  • Familiarity with Kubeflow for advanced MLOps workflows and Kubernetes-based deployments.
  • Exposure to cloud platforms like AWS or GCP for hosting MLOps pipelines.
  • Knowledge of data versioning tools like DVC for managing ML datasets and models.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Engineer, MLOps, Airflow, MLflow, Kubeflow, Spark, Python, Machine Learning Pipelines

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