AWS SageMaker Engineer Company Hidden Finance Cincinnati, OH Developer 1 Opening $1,000 reward [...]

Company:  Agility Partners LLC
Location: Cincinnati
Closing Date: 20/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Agility Partners is seeking a qualified AWS SageMaker Specialist to fill an open position with one of our banking clients. This is an exciting opportunity to lead the deployment of AWS SageMaker as a key platform for machine learning and data science initiatives. The ideal candidate will play a critical role in transitioning from IBM Cloud Pak to AWS SageMaker, driving innovation in real-time scoring and feature storage. This position offers the chance to shape the future of the organization's machine learning infrastructure.

Responsibilities:

  • Deploy machine learning production models using AWS SageMaker; experience with security, compliance, and governance of SageMaker.
  • Manage and optimize SageMaker instances and resources.
  • Collaborate with data scientists and engineers to integrate models into production environments.
  • Monitor and maintain deployed models to ensure performance and scalability.
  • Implement best practices for model versioning, monitoring, and retraining.
  • Troubleshoot and resolve issues related to model deployment and performance.
  • Stay up-to-date with the latest developments in AWS SageMaker and related technologies.

Benefits and Perks:

Work within a collaborative team environment where ideas and creativity are welcomed! Family and work-life balance are important to this organization and valued for the employees.

  • Working for an organization that focuses on company culture, inclusion, and diversity.
  • 50% medical coverage for you and your entire family, short/long term disability, and life insurance options.
  • 401(k).
  • Life insurance.
  • Disability coverage.

The Ideal Candidate:

  • Proven experience in deploying AWS SageMaker within an enterprise.
  • Proficient in Terraform for cloud infrastructure management.
  • Strong understanding of machine learning, data science, and cloud computing.
  • Familiarity with Docker, Kafka, Snowflake, and Feature Store.
  • Experience with real-time model deployment and monitoring.
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Agility Partners LLC
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