AI​/ML Subject Matter Expert

Type of Requisition: Regular

Clearance Level Must Currently Possess: None

Clearance Level Must Be Able to Obtain: None

Public Trust/Other

Required:

BI Full 6C (T4)

Job Family: Data Science and Data Engineering

Job Qualifications:

Skills: Artificial Intelligence (AI), Data Science, Machine Learning (ML)

Certifications: None

Experience: 10 + years of related experience

US Citizenship

Required:

No

Job Description:

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an Artificial Intelligence and Machine Learning (AI/ML) Subject Matter Expert (SME) at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

Seize your opportunity to make a personal impact as an AI/ML SME supporting the Case Management Modernization (CMM) Program. The CMM Program is an initiative to support the Administrative Office (AO) of the US Courts develop a modern cloud-based solution to support all federal courts across the United States which are grouped into three types, namely Appellate, District, and Bankruptcy. This modernized case management system will eventually replace the current Case Management and Electronic Case Filing (CM/ECF) system.

As an AI/ML SME
, the work you’ll do at GDIT will be impactful to the mission of the AO of the US Courts
. You will play a crucial role in the following areas:

• Define and execute the AI/ML strategy for the CMM modernization program, ensuring alignment with mission objectives and modernization roadmaps.
• Provide strategic recommendations on tools, frameworks, and cloud-native AI services (e.g., AWS Sage Maker, Bedrock, Azure ML) to optimize SDLC efficiency and delivery velocity.
• Identify opportunities to integrate AI into development workflows
  —including intelligent code review, defect prediction, automated documentation, and test optimization.
• Lead the architecture, deployment, and lifecycle management of ML models
  , from experimentation through productionization and continuous retraining.
• Drive adoption of MLOps best practices
  , integrating with Dev Sec Ops  pipelines to ensure reliable, compliant, and automated model delivery.
• Collaborate with Product Owners, Data Engineers, and Cloud Architects to define AI-powered features and analytics use cases that enhance user experience and system intelligence.
• Evaluate and recommend AI-assisted developer tools to boost productivity across coding, testing, and documentation stages.
• Ensure all AI/ML solutions adhere to federal Responsible AI principles
  , including transparency, explainability, and fairness (in alignment with NIST AI Risk Management Framework).
• Develop and maintain AI/ML architecture documentation, guidelines, and training materials to upskill teams and standardize implementation practices.
• Serve as a senior advisor to leadership, guiding AI governance
  , data ethics, and performance measurement frameworks.

• ML Frameworks:
  Tensor Flow, PyTorch, scikit-learn, XGBoost.
• Cloud Services: AWS Sage Maker, Bedrock, Lambda, Azure ML, GCP Vertex AI.
• MLOps: MLflow, Kubeflow, Airflow, TFX.
• Data Processing:
  Pandas, Spark, Snowflake, Databricks.
• Dev Ops & Automation:
  Jenkins, Git Lab CI/CD, Terraform.
• Responsible AI & Monitoring:
  Weights & Biases, Evidently AI, Amazon Clarify.
• Collaboration:
  
  Jira, Confluence, SharePoint, MS Teams.

Education: Bachelor of Arts/Bachelor of Science required;
Master of Arts/Master of Science preferred

Experience: 10+ years of specialized experience in information systems, with 5+ years being in AI/ML solution design, data engineering, or applied machine learning

• Expertise in machine learning, deep learning, and natural language processing (NLP) techniques.
• Strong proficiency with Python
  , ML/DL frameworks (
  Tensor Flow, PyTorch, scikit-learn, XGBoost
  ) and cloud AI services (
  AWS Sage Maker, Bedrock, Azure ML, GCP Vertex AI
  ).
• Experience implementing MLOps pipelines and integrating ML workflows into Dev Sec Ops  CI/CD environments.
• Proven record of improving SDLC efficiency through AI-assisted development, testing, and delivery tools
  .
• Knowledge of f…