AI/ML Engineer

Public Trust: Other

Requisition Type: Pipeline

Your Impact

Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.

Job Description

GDIT is seeking an AI/ML Engineer to design, build, and deploy advanced machine learning and artificial intelligence solutions that drive mission impact. In this role, you will work with data scientists, software engineers, and product teams to deliver scalable, production‑ready models that solve complex business and operational challenges.

What You’ll Do
• Develop machine learning models for predictive analytics, NLP, computer vision, and recommendation systems.
• Collect, clean, and prepare structured and unstructured data for modeling.
• Train, validate, and optimize models using modern ML frameworks and evaluation techniques.
• Engineer features and extract insights from raw data to improve model accuracy.
• Deploy models to production environments and integrate them with existing systems.
• Monitor model performance and implement automated alerts for drift or degradation.
• Document designs, model decisions, and best practices.
• Collaborate across teams to translate business needs into AI‑driven solutions.
• May coach junior team members or lead tasks.
• Work independently with general supervision.

Basic Qualifications
• Bachelor’s degree in a relevant field and 5+ years of experience.

Required Skills

Analytical & Programming
• Strong Python skills (Pandas, NumPy, scikit‑learn).
• SQL proficiency and knowledge of key statistical methods.

Data Modeling
• Experience across the full ML lifecycle, from feature engineering to monitoring.
• ETL/ELT and data wrangling experience with large or messy datasets.
• Strong model evaluation and error‑analysis skills.

AI Integration & MLOps
• Experience integrating AI models via APIs and building microservices.
• Production deployment experience with CI/CD pipelines.
• Model monitoring for performance and drift.

Cloud & Tools
• Experience with Azure, AWS, or GCP.
• Familiarity with Docker, Git, and visualization tools (Power BI, Tableau).

Communication & Governance
• Ability to identify AI opportunities and translate findings for stakeholders.
• Documentation skills and awareness of responsible AI principles.
• Basic understanding of data security in production systems.

Preferred Qualifications
• Experience with LLMs, prompt engineering, embeddings, and RAG pipelines.
• MLOps tools such as MLflow, Weights & Biases, Kubernetes, Argo, or KServe.
• Experience with Databricks, Snowflake, or BigQuery.
• Knowledge of model risk management, explainability tools, or regulated environments.
• Additional languages/tools: R, PySpark, Scala, LangChain.

Clearance Requirement
• Must be eligible to obtain a federal security clearance.

GDIT IS YOUR PLACE
• At GDIT, the mission is our purpose, and our people are at the center of everything we do.
• Growth: AI-powered career tool that identifies career steps and learning opportunities
• Support: An internal mobility team focused on helping you achieve your career goals
• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
• Flexibility: Full-flex work week to own your priorities at work and at home
• Community: Award-winning culture of innovation and a military-friendly workplace

Work Requirements

Years of Experience

5 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification

Travel Required

None