R2 Technologies
MLOps Data Pipeline Engineer (Airflow & MLflow) - Q125
R2 Technologies, Alpharetta, Georgia, United States, 30239
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
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