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General Dynamics Information Technology Logo

AI/ML Delivery Engineer

General Dynamics Information Technology

$225,250 - $304,750
Dec 17, 2025
Herndon, VA, US
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GDIT is looking to solve complex and strategic deals in the Intelligence and Homeland Security (IHS) sector by leveraging artificial intelligence, machine learning, data science, and modern software delivery to protect the country from threats.

Requirements

  • Expert-level Python proficiency; strong familiarity with C++, Go, or Java for integration and performance-critical workloads.
  • Frameworks: TensorFlow, PyTorch, JAX, ONNX, Hugging Face Transformers, scikit-learn.
  • Data Science: NumPy, pandas, SciPy, scikit-learn, LangChain, R, SQL
  • MLOps Tools: MLflow, Airflow, Kubeflow, DVC, BentoML, Weights & Biases.
  • Data Systems: Spark, Databricks, Kafka, Delta Lake, Snowflake, or BigQuery.
  • Cloud Platforms: AWS (SageMaker, Bedrock), Azure (Machine Learning, Synapse), or GCP (Vertex AI, Dataflow).
  • Infrastructure: Docker, Kubernetes, Terraform, Helm, GPU/TPU orchestration.

Responsibilities

  • Architect end-to-end AI/ML systems, from data ingestion pipelines and feature stores to model training, evaluation, and deployment in production environments.
  • Design distributed and scalable ML workflows leveraging cloud-native technologies (e.g., Kubernetes, Kubeflow, MLflow, SageMaker, Vertex AI, Azure ML, Nvidia ecosystem).
  • Integrate MLOps principles, including CI/CD for ML, model versioning, and automated retraining pipelines.
  • Ensure model governance, data lineage, and compliance with US Federal and State requirements.
  • Collaborate with data scientists to develop and optimize models for computer vision, NLP, predictive analytics, and generative AI.
  • Implement advanced model deployment strategies (e.g., ensemble serving, A/B testing, online learning) to include agile AI/ML Model Deployment Operations (ModelOps).
  • Design APIs and microservices for AI model consumption across applications and external systems.

Other

  • 10+ years of professional experience in data science and AI/ML engineering and/or Data Science.
  • Bachelor of Science in Computer Science, Information Technology, similar discipline or equivalent experience.
  • US Citizenship
  • Clearance: Candidates must have an active Top Secret/SCI Clearance, with a Poly clearance strongly preferred.
  • Travel Required: Less than 10%