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, productionready models that solve complex business and operational challenges.

What Youll 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 AIdriven solutions.
May coach junior team members or lead tasks.
Work independently with general supervision.

Basic Qualifications
Bachelors degree in a relevant field and 5+ years of experience.

Required Skills

Analytical & Programming
Strong Python skills (Pandas, NumPy, scikitlearn).
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 erroranalysis 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