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Mlops Data Engineer Jobs in Georgia (NOW HIRING)

DPR Construction

MLOps Engineer

Atlanta, GA · On-site

DPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical ...

Honeywell

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

MLOps familiarity including model versioning, feature stores, and monitoring/observability for data and ML systems. * Demonstrated ability to lead technical design reviews, mentor engineers, and ...

Honeywell

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

MLOps familiarity including model versioning, feature stores, and monitoring/observability for data and ML systems. * Demonstrated ability to lead technical design reviews, mentor engineers, and ...

Honeywell

Lead Data Engineer

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

MLOps familiarity including model versioning, feature stores, and monitoring/observability for data and ML systems. * Demonstrated ability to lead technical design reviews, mentor engineers, and ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Knowledge of MLOps practices and experience building data pipelines for AI model deployment ... engineering, data science, artificial intelligence, and process engineering. We are paving the way ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Knowledge of MLOps practices and experience building data pipelines for AI model deployment ... engineering, data science, artificial intelligence, and process engineering. We are paving the way ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Knowledge of MLOps practices and experience building data pipelines for AI model deployment ... engineering, data science, artificial intelligence, and process engineering. We are paving the way ...

Purple Drive

AI/ML Engineer

Atlanta, GA · On-site

$110K - $132K/yr

MLOps Implementation: Establish CI/CD workflows, model versioning, monitoring,and automated ... Data Engineering with PySpark: Optimize large-scale ETL workflows, data pipelines,and distributed ...

Accenture

Google Senior Data Engineer

Atlanta, GA · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...

Monitise

Data & ML Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

As a Data & ML Engineer, you will help build and support the data engineering, ETL, and MLOps capabilities that power Merchant Opportunity Analysis (MOA) and Offer Engine within the Digital ...

TriNet

Staff MLOps Engineer

Dunwoody, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A Brief Overview As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing ... Collaborate with data scientists, software engineers, and DevOps teams to streamline the ...

Trinet, Inc

Staff MLOps Engineer

Dunwoody, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A Brief Overview As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing ... Collaborate with data scientists, software engineers, and DevOps teams to streamline the ...

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All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Georgia

Mlops Data Engineer information

What is an MLOps data engineer?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What are the key skills and qualifications needed to thrive as an MLOps data engineer?

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps data engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

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

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps Data Engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining ML models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

Is MLOps required for data engineers?

MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer's ability to support scalable and reliable ML systems.

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

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

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

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

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

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

Mlops Data Engineer jobs near you

MLOps Data Pipeline Engineer (Airflow & MLflow) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 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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