Cloud Engineer
1 week ago
We are seeking an experienced Cloud Engineer to build and maintain a secure, monitored, cloud-hosted production laboratory in support of our US Department of Treasury customer.
The laboratory will be used by data science teams to create analytics for insights and AI/ML models for deployment in a high-stakes production environment.
This role requires strong expertise in cloud services, particularly AWS (S3, Lambda, RDS, SNS, etc.), as well as experience with setting up and managing data science environments with tools such as Databricks, JupyterHub, MLflow, and Bitbucket.
About the Role- Salary Range: $120,000 - $160,000 per year
- Location: Flexible, remote work options available
This position requires strong communication skills and the ability to collaborate with cross-functional teams. Experience working in a regulated environment, particularly within government agencies like the IRS, is a plus.
Responsibilities- Develop and maintain a data exploration and feature engineering pipeline to enable data readiness for modeling within a secure and compliant infrastructure.
- Implement and manage Databricks, JupyterHub, and other modern tools for exploratory data analysis, AI design, model development, and training.
- Integrate tools with TCloud Bitbucket for version control and collaboration.
- Configure AWS S3 buckets for Feature Store, ensuring compliance with IRS UNAX rules and separate security contexts for different teams.
- Establish and maintain a model development pipeline utilizing MLflow for experiment tracking and model registry.
- Create AWS Lambda functions and implement AWS Flow for efficient model artifact storage and metadata management.
- Integrate with AWS RDS for robust data management and retrieval.
- Configure SNS notifications for model promotion workflows.
- Support data science teams in adhering to Responsible AI Principles via the implementation of the Responsible AI Toolbox.
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