Python MLOps Specialist (SageMaker, MLflow) - 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!

Python MLOps Specialist (SageMaker, MLflow)

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

Employment Type: Full-Time (W2)

Role Overview

We are seeking a skilled Python MLOps Specialist to streamline machine learning operations using Python with AWS SageMaker or MLflow. This role focuses on automating model deployment and management through CI/CD and DevOps practices.

Key Responsibilities

• Develop Python-based MLOps workflows to automate ML model training and deployment.
• Implement CI/CD pipelines for ML models using SageMaker, MLflow, or Kubeflow.
• Manage model lifecycle processes, including versioning, testing, and monitoring with MLflow.
• Leverage AWS SageMaker for scalable model training and inference in production.
• Collaborate with DevOps teams to integrate MLOps into broader CI/CD ecosystems.
• Ensure model governance, security, and performance in automated ML operations.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• 3 years of experience in Python development with a focus on MLOps and DevOps practices.
• Proficiency in using SageMaker or MLflow for automating machine learning workflows.
• Experience with CI/CD pipelines for deploying and managing ML models in production.
• Strong understanding of MLOps principles and their integration with Python-based systems.

Preferred Qualifications

• Familiarity with Kubeflow for orchestrating MLOps workflows on Kubernetes.
• Exposure to cloud platforms like AWS or GCP for scalable MLOps deployments.
• Knowledge of monitoring tools like Prometheus for ML model observability.

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:

Python, MLOps, SageMaker, MLflow, Kubeflow, CI/CD, DevOps