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Evening Edge Ai Machine Learning Jobs in Georgia

KSB, Inc.

Machine Learning Engineer

Grovetown, GA · On-site

$70 - $95/hr

You'll work at the intersection of machine learning and the physical world to build AI systems that learn from real industrial data and connect with the engineering models behind them. The role lives ...

Via Licensing Corporation

AI Architect

Atlanta, GA · On-site

$152 - $209/hr

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ... Stay current with developments in AI/ML, including emerging architectures and edge inference ...

Dolby

AI Architect

Atlanta, GA · On-site

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ... Stay current with developments in AI/ML, including emerging architectures and edge inference ...

Ksb

Machine Learning Engineer

Grovetown, GA · On-site

You'll work at the intersection of machine learning and the physical world to build AI systems that learn from real industrial data and connect with the engineering models behind them. The role lives ...

Cox Automotive

Machine Learning Lead Engineer

Austell, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

Cox Automotive

Machine Learning Lead Engineer

Morrow, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

Cox Automotive

Machine Learning Lead Engineer

Marietta, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

Cox Automotive

Machine Learning Lead Engineer

Doraville, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

Cox Automotive

Machine Learning Lead Engineer

Norcross, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

Cox Automotive

Machine Learning Lead Engineer

Vinnings, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

Cox Automotive

Machine Learning Lead Engineer

Smyrna, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

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All JobsEvening Edge Ai Machine Learning JobsEvening Edge Ai Machine Learning Jobs in Georgia

Evening Edge Ai Machine Learning information

What is an Evening Edge AI Machine Learning job?

Evening Edge AI Machine Learning jobs typically refer to positions focused on developing, maintaining, or deploying machine learning solutions, with work hours in the evening or during non-traditional schedules. These roles may involve tasks such as data analysis, model training, algorithm development, and performance evaluation, often within teams that require coverage outside of standard office hours. Professionals in these positions may work remotely or on-site, supporting projects that need continuous operation or global collaboration. Evening shifts can be ideal for those seeking flexible work hours or needing to accommodate other commitments.

What are some common challenges faced by Evening Edge AI Machine Learning professionals and how can they be addressed?

Evening Edge AI Machine Learning professionals often encounter challenges such as managing tight project timelines due to after-hours deployments, troubleshooting unexpected model behavior with limited immediate support, and keeping up with rapid advancements in AI technology. To address these issues, it's helpful to develop strong time management skills, proactively communicate with team members during overlapping hours, and regularly participate in knowledge-sharing sessions. Building a network with other AI professionals and leveraging online resources can also help you stay updated and troubleshoot effectively during evening shifts.

What are the key skills and qualifications needed to thrive as an Evening Edge AI Machine Learning professional, and why are they important?

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, programming (Python, R, or Java), and experience with machine learning algorithms, usually supported by a degree in computer science or a related field. Familiarity with technical tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly beneficial. Creative problem-solving, analytical thinking, and effective communication help you translate complex data insights into actionable solutions and collaborate across teams. These skills and qualifications are essential for developing robust AI solutions that drive innovation and meet business objectives.

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

AspectEvening Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; often a PhD
Work EnvironmentTech companies, startups, or research labs; project-based workCorporate, consulting, or research institutions; data analysis focus
Industry UsageAI product development, automation, predictive modelingBusiness analytics, strategic insights, data-driven decision making

While both roles involve machine learning skills, Evening Edge Ai Machine Learning focuses on developing AI models and algorithms, often in a technical environment. Data Scientists analyze data to extract insights and inform business decisions. The roles overlap in skills but differ in primary focus and application.

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 Evening Edge Ai Machine Learning jobs in Georgia?

For Evening Edge Ai Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Evening Edge Ai Machine Learning jobs in Georgia look for?

The top searched job categories for Evening Edge Ai Machine Learning jobs in Georgia are:

Evening Edge Ai Machine Learning jobs near you
Infographic showing various Evening Edge Ai Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

MLOps Data Pipeline Engineer (Airflow & MLflow) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 3 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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