AI ML Data Scientist

Job ID: 2507456-3449

Location: REMOTE WORK, VA, US

Date Posted: 2025-07-10

Category: Information Technology

Subcategory: Platform Engr

Schedule: Full-time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: Yes

Description

SAIC is seeking an experienced AI/ML Engineer to help build and maintain the Analytics Application Platform (AAP), a full-fledged platform that provides both laboratory and factory services. AAP is designed as the IRS’s primary AI/ML Platform-as-a-Service (PaaS), securely delivering mission-driven data science solutions at scale. This platform supports a wide range of use cases, from traditional model development to integrating Generative AI (GenAI) capabilities. As an AI/ML Engineer, you will play a crucial role in maturing the platform, ensuring it is production-ready, scalable, and compliant with IRS requirements, and you will support the platform regardless of the specific technologies or services being used, including Databricks and AWS SageMaker/Bedrock.

Key Responsibilities:

• Develop and maintain robust data exploration and feature engineering pipelines to ensure data readiness for modeling within a secure and compliant infrastructure.
• Implement and manage modern AI/ML tools such as Databricks, JupyterHub, AWS SageMaker, and Bedrock, for exploratory data analysis, AI design, model development, and training.
• Integrate platform tools with TCloud Bitbucket for efficient version control, collaboration, and continuous integration/continuous deployment (CI/CD) processes.
• Configure AWS S3 buckets for a Feature Store, ensuring compliance with IRS UNAX rules and maintaining distinct security contexts for different teams.
• Establish and maintain a comprehensive model development pipeline utilizing MLflow for experiment tracking, model registry, and lifecycle management.
• 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 capabilities.
• Configure SNS notifications to facilitate model promotion workflows.
• Support teams in adhering to Responsible AI Principles by implementing the Responsible AI Toolbox, ensuring ethical and compliant AI/ML practices.
• Leverage both Databricks and AWS services such as SageMaker and Bedrock to build and deploy large language models (LLMs), enabling IRS customers to create and integrate advanced Generative AI applications.
• Ensure that all AI/ML development and deployment activities adhere to strict security and privacy standards, especially in compliance with IRS regulations.
• Contribute to the iterative maturation of the platform, ensuring new capabilities are production-ready and scalable.
• Develop support models, documentation, and processes that simplify the customer experience and enable their success in navigating the platform.
• Work collaboratively to instill confidence in the platform, ensuring it goes beyond technical completeness to truly enable and scale AI/ML solutions.

Qualifications

Required:

• Bachelor’s or master’s degree in Computer Science, Engineering, or a related field. A PhD is preferred.( 4 years experience in lieu of degree)
• At least 9 years of experience in AI/ML, cloud services, and platform management, particularly with both Databricks and AWS (including S3, Lambda, RDS, SNS, SageMaker, and Bedrock).
• Proven expertise in setting up and managing environments with tools such as Databricks, JupyterHub, MLflow, and Bitbucket.
• Strong proficiency in programming languages and tools such as SQL, Python, R, and Spark. Familiarity with machine learning frameworks and libraries, including those used for building and deploying LLMs.
• Deep understanding of data security and privacy, especially in compliance with IRS standards.
• Experience with CI/CD pipelines and infrastructure as code.
• Excellent communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to stakeholders.

Desired:

• Previous experience working in a regulated environment, particularly within government agencies like the IRS.
• Relevant certifications related to AWS or cloud architecture.
• Knowledge of Responsible AI practices and principles.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.