Job Title - AWS SageMaker Engineer
REQUIRED SKILLS:
- Experience as a lead or key player bringing in AWS SageMaker as a new "platform"
- Needs to be able communicate clearly and often
- Terraform experience
- Experience with security, compliance, and governance of SageMaker
- Docker, Kafka, Snowflake, Feature Store
- Working on bringing in AWS SageMaker as a replacement for IBM Cloud Pak for Data. This is where we deploy our critical production models and where all most of modeling is done.
- We need someone that has been through standing up AWS SageMaker into their company and/or someone that can deploy models in AWS SageMaker.
Job Description:
We are seeking an experienced AWS SageMaker Specialist to join our team. The ideal candidate will have a strong background in machine learning, data science, and cloud computing, with specific experience in deploying and managing models using AWS SageMaker.
Key Responsibilities:
- Deploy machine learning production models using AWS SageMaker
- Terraform experience
- 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.
Soft Skills:
- Needs to be able to communicate clearly and often
- Need a leader, not a follower
- We want someone who has lead or key player bringing in AWS SageMaker as a new “platform”