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AWS Cloud Machine Learning Engineer

2 months ago

Cincinnati, Ohio, United States Agility Partners Full time
About this Role

Agility Partners is seeking a highly skilled AWS SageMaker Specialist to join our team and contribute to the deployment of AWS SageMaker as a key platform for machine learning and data science initiatives.

This is an exciting opportunity to lead the transition from IBM Cloud Pak to AWS SageMaker, driving innovation in real-time scoring and feature storage. The ideal candidate will play a critical role in shaping the future of our organization's machine learning infrastructure.

Key Responsibilities:
  • Deploy and Manage Machine Learning Models: Develop and deploy machine learning models in AWS SageMaker, ensuring seamless integration with production environments.
  • Oversee SageMaker Security and Compliance: Ensure the security, compliance, and governance of SageMaker instances, maintaining the highest standards of data protection and regulatory adherence.
  • Collaborate with Data Scientists and Engineers: Work closely with data scientists and engineers to integrate models into production environments, fostering a culture of collaboration and innovation.
  • Optimize and Troubleshoot SageMaker Instances: Optimize and troubleshoot SageMaker instances to ensure model performance and scalability, driving business growth and efficiency.
Benefits and Perks

At Agility Partners, we value our employees' well-being and offer a range of benefits and perks to support their work-life balance and career growth.

  • Family-Friendly Environment: We prioritize family and work-life balance, providing a supportive and inclusive environment for all employees.
  • Comprehensive Benefits Package: Enjoy a comprehensive benefits package, including 50% medical coverage for you and your entire family, short/long-term disability, and life insurance options.
  • Professional Development Opportunities: Take advantage of ongoing training and development opportunities to enhance your skills and advance your career.
The Ideal Candidate
  • Proven Experience in AWS SageMaker: Demonstrate proven experience in deploying AWS SageMaker within an enterprise environment, with a strong understanding of machine learning, data science, and cloud computing.
  • Cloud Infrastructure Management: Showcase proficiency in Terraform for cloud infrastructure management and experience with Docker, Kafka, Snowflake, and Feature Store.
  • Real-Time Model Deployment and Monitoring: Highlight experience with real-time model deployment and monitoring, with a strong focus on scalability and performance.