Java MLOps Engineer (Spring + ML Pipelines) - Q125

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!

Java MLOps Engineer (Spring + ML Pipelines)

Location: Alpharetta, GA (willing to travel to client locations)

Employment Type: Full-Time (W2)

Role Overview

We are seeking a dedicated Java MLOps Engineer to streamline machine learning pipelines using Java and Spring, ensuring efficient model deployment and management. This role focuses on integrating MLOps practices with tools like Kubeflow, MLflow, or AWS SageMaker for scalable AI solutions.

Key Responsibilities

• Develop Java-based applications using Spring to support machine learning pipelines and MLOps workflows.
• Implement and manage end-to-end ML pipelines for model training, validation, and deployment using Kubeflow or MLflow.
• Integrate machine learning models with production systems, leveraging AWS SageMaker for scalable inference.
• Automate CI/CD processes for ML models, ensuring seamless updates and rollbacks in production environments.
• Collaborate with data scientists to monitor model performance and optimize pipelines for efficiency and accuracy.
• Ensure security, versioning, and governance of ML models within Java-based microservices architectures.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• 3 years of experience in Java development with Spring, focusing on machine learning pipeline integration.
• Proficiency in building and managing MLOps workflows using tools like Kubeflow, MLflow, or AWS SageMaker.
• Experience with automating machine learning pipelines for model deployment and monitoring.
• Strong understanding of Java-based microservices and REST API development for ML integration.

Preferred Qualifications

• Familiarity with cloud platforms (AWS, Azure, GCP) for deploying and scaling MLOps pipelines.
• Exposure to containerized environments (Docker, Kubernetes) for managing ML workloads.
• Knowledge of data versioning and governance tools like DVC or Pachyderm for MLOps pipelines.

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:

Java, Spring, MLOps, Machine Learning Pipelines, Kubeflow, MLflow, AWS SageMaker, REST APIs