Today
Public Trust
Unspecified
Unspecified
Remote/Hybrid• (Off-Site/Hybrid)
Zachary Piper Solutions is looking for an Senior AI/ML Engineer to join a growing team in support of a federal program. This position will be fully remote.
Responsibilities/Overview:
• Build and maintain robust pipelines for data ingestion, exploration, feature engineering, and model training across Databricks and AWS-native services.
• Operationalize tools such as MLFlow for experiment tracking, model registry, versioning, and lifecycle governance.
• Integrate with T-Cloud Bitbucket and CI/CD pipelines (e.g., Bamboo) to enable secure, traceable development workflows.
• Configure and manage IRS-compliant AWS S3 feature stores, ensuring UNAX-compliant isolation and secure access per team.
• Develop and orchestrate AWS services (Lambda, RDS, SNS, EventBridge) to support automated model promotion and metadata tracking.
• Support GenAI enablement by engineering reusable, secure pathways for customers to leverage AWS Bedrock and SageMaker for LLM-based applications.
• Collaborate across the Infrastructure, Customer Success (CSx), and ATO/OneSDLC teams to support onboarding and productionalization for IRS customer use cases.
• Implement and maintain Responsible AI tooling, including the Responsible AI Toolbox, to support auditability and ethical deployment practices.
• Produce high-quality documentation and reusable code artifacts that simplify customer experience and platform adoption.
• Support platform-wide upgrades (e.g., Databricks E2), refactoring of inherited IaC, and improvements in CI/CD automation and monitoring.
Required Qualifications:
• Must be abke to obtain a Public Trust clearance
• Bachelors degree and seven (7) years or more of related experience or Masters and five (5) or more years of related experience.
• Strong experience in AI/ML engineering, with significant hands-on experience using Databricks, JupyterHub, and AWS AI/ML services (e.g., SageMaker, Bedrock, Lambda, RDS, S3).
• Proficient in Python, SQL, Spark, and machine learning frameworks used in both model development and deployment.
• Demonstrated experience with MLFlow, CI/CD pipelines, infrastructure-as-code, and Git-based version control.
• Deep familiarity with building secure, compliant ML infrastructure in a regulated federal environment.
Desired:
• Prior experience supporting AI/ML in regulated environments such as IRS, Treasury, or other federal agencies.
• Familiarity with Immuta, Trustworthy AI controls, and model auditability frameworks.
• AWS certification or similar credentials in cloud engineering or DevOps.
• Exposure to customer onboarding, cross-team collaboration, and platform-as-a-service delivery models.
• Security Clearance desired
Compensation and Benefits:
· $120,000 - $155,000 **depending on experience**
· Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave as required by law, and Holidays.
This job opens for applications on 7/18/25. Applications for this job will be accepted for at least 30 days from the posting date.
Responsibilities/Overview:
• Build and maintain robust pipelines for data ingestion, exploration, feature engineering, and model training across Databricks and AWS-native services.
• Operationalize tools such as MLFlow for experiment tracking, model registry, versioning, and lifecycle governance.
• Integrate with T-Cloud Bitbucket and CI/CD pipelines (e.g., Bamboo) to enable secure, traceable development workflows.
• Configure and manage IRS-compliant AWS S3 feature stores, ensuring UNAX-compliant isolation and secure access per team.
• Develop and orchestrate AWS services (Lambda, RDS, SNS, EventBridge) to support automated model promotion and metadata tracking.
• Support GenAI enablement by engineering reusable, secure pathways for customers to leverage AWS Bedrock and SageMaker for LLM-based applications.
• Collaborate across the Infrastructure, Customer Success (CSx), and ATO/OneSDLC teams to support onboarding and productionalization for IRS customer use cases.
• Implement and maintain Responsible AI tooling, including the Responsible AI Toolbox, to support auditability and ethical deployment practices.
• Produce high-quality documentation and reusable code artifacts that simplify customer experience and platform adoption.
• Support platform-wide upgrades (e.g., Databricks E2), refactoring of inherited IaC, and improvements in CI/CD automation and monitoring.
Required Qualifications:
• Must be abke to obtain a Public Trust clearance
• Bachelors degree and seven (7) years or more of related experience or Masters and five (5) or more years of related experience.
• Strong experience in AI/ML engineering, with significant hands-on experience using Databricks, JupyterHub, and AWS AI/ML services (e.g., SageMaker, Bedrock, Lambda, RDS, S3).
• Proficient in Python, SQL, Spark, and machine learning frameworks used in both model development and deployment.
• Demonstrated experience with MLFlow, CI/CD pipelines, infrastructure-as-code, and Git-based version control.
• Deep familiarity with building secure, compliant ML infrastructure in a regulated federal environment.
Desired:
• Prior experience supporting AI/ML in regulated environments such as IRS, Treasury, or other federal agencies.
• Familiarity with Immuta, Trustworthy AI controls, and model auditability frameworks.
• AWS certification or similar credentials in cloud engineering or DevOps.
• Exposure to customer onboarding, cross-team collaboration, and platform-as-a-service delivery models.
• Security Clearance desired
Compensation and Benefits:
· $120,000 - $155,000 **depending on experience**
· Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave as required by law, and Holidays.
This job opens for applications on 7/18/25. Applications for this job will be accepted for at least 30 days from the posting date.
group id: 10430981
