AI ML Data Scientist

Job ID:

Location: REMOTE WORK, MD, 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.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .