Artificial Intelligence & Machine Learning Architect SME

GDIT

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Define, document, and maintain a scalable, modular AI/ML architecture that aligns with enterprise cloud strategy
  • Architect and implement end-to-end AI/ML pipelines including data ingestion, feature engineering, model training, deployment, monitoring, and retraining
  • Integrate MLOps best practices for continuous integration, delivery, and lifecycle management of machine learning models
  • Ensure multi-tenant and multi-region AI/ML workloads are elastic, highly available, and cost-efficient
  • Leverage Infrastructure-as-Code (IaC) tools to provision and manage cloud-based AI/ML infrastructure
  • Design and support reusable, secure, and performant AI/ML services and APIs
  • Conduct model validation and optimization in cloud environments, ensuring responsible AI practices
  • Maintain AI/ML architecture documentation and update artifacts per sprint cycles
  • Support the inclusion of AI/ML metrics, resource utilization, and performance KPIs in technical dashboards
  • Guide teams on the selection and integration of third-party ML tools, frameworks, or SaaS offerings

Requirements

  • BA/BS or equivalent required; Master's of Arts or Science in related field preferred
  • 15+ years of specialized experience in information systems
  • Proven success in architecting and deploying ML workflows in cloud environments (AWS SageMaker, Azure ML, GCP Vertex AI)
  • Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, or Keras
  • Strong programming skills in Python, with experience in containerization (Docker) and orchestration (Kubernetes)
  • Experience with MLOps tools (MLflow, Kubeflow, TFX, Airflow) and CI/CD integration
  • Familiarity with federal data governance, security, and privacy standards (JISF, NIST 800-53, FedRAMP)
  • Proficient in using IaC tools such as Terraform, CDK, or CloudFormation
  • Experience with multi-tenant, distributed systems, and cloud-native architecture patterns

Benefits

  • Comprehensive benefits and wellness packages
  • 401K with company match
  • Medical, dental, and vision plan options
  • Paid time off including vacation, sick, personal, and holidays
  • Paid parental leave
  • Short and long-term disability benefits

Skills & tools

AIMLOpsPythonTensorFlowPyTorchAWSKubernetesDocker

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 0115+ years of specialized experience in information systems
  2. 02Proven success in architecting and deploying ML workflows in cloud environments
  3. 03Hands-on experience with TensorFlow, PyTorch, scikit-learn, or Keras
  4. 04Strong programming skills in Python
  5. 05Experience with containerization and orchestration
  6. 06Experience with MLOps tools
  7. 07Proficiency in IaC tools like Terraform or CloudFormation
  8. 08Familiarity with federal data governance and security standards
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