754-AWS SageMaker Engineer IV

09th October, 2024

AWS SageMaker Engineer IV

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.

What You'll Do

• Future (2025 & Beyond) - Utilize AWS Sagemaker to expand Feature Store, introduce Model Registry, CI/CD, Real-Time models for our large data science credit models.
• The squad is currently working on an in-house build of Feature Store to help speed up modeling process for our Data Science department. Combination of Snowflake, Cloud Pak for Data. (More on this later)
  • Currently, data scientist build model features (attributes) about customers in their own Jupyter notebook that feed into their models and never reuseable for others... aka reason for Feature Store
• They are also working on building real time scoring framework for our loan/card application process. Right now it's batch and can be almost 31 days behind.
  • Technology used: Docker, Kafka, Snowflake, Feature Store
• This is the most important part: They are 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 at the bank.
  • We need someone that has been through standing up AWS Sagemaker into their company and/or someone that can deploy models in AWS Sagemaker.
  • We are in early innings with Sagemaker and just scratching the surface. We need help getting this platform stood up

What You'll Need

• 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"

What You'll Get

SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
You'll be eligible to earn referral bonuses!