Remote AI/ML Architect: Cloud Pipelines Leader

Hbcu Connect, Llc; United States; Remote; USD 180.000 - 260.000; Vollzeit

Zusammenfassung

GDIT is seeking an AI/ML Architect SME to define, design, deploy, and maintain modular AI/ML architecture for the CMM Program supporting 204+ federal courts nationwide. You will lead end-to-end pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.

We require 15+ years in the field, with at least 5+ years hands-on cloud AI/ML experience using SageMaker, Azure ML, or Vertex AI. Strong Python, Docker, Kubernetes, and MLOps tooling skills are essential.

Qualifikationen

• Education: BA/BS required; Master’s preferred.
• 15+ years of related experience with at least 5+ years hands-on in architecting and deploying AI/ML workflows in cloud environments.
• Experience with SageMaker AI, Azure ML, and/or Vertex AI.
• Hands-on with ML/DL frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost, Keras).
• Strong Python, containerization (Docker) and orchestration (Kubernetes) skills.
• Experience with MLOps tools (MLflow, Kubeflow, TFX, Airflow) and CI/CD for model deployment.
• Familiarity with federal data governance, security, and privacy standards (NIST 800-53, FedRAMP).
• Proficient in IaC tools (Terraform, CDK, CloudFormation).
• Experience with multi-tenant, distributed cloud-native architectures.

Aufgaben

• Define, document, and maintain scalable AI/ML architecture aligned with cloud strategy and program requirements.
• Architect and implement end-to-end AI/ML pipelines (ingestion, feature engineering, training, deployment, monitoring, retraining).
• Integrate MLOps for CI/CD, lifecycle management of models.
• Ensure multi-tenant, multi-region workloads are elastic, available, and cost-efficient.
• Use IaC tools to provision cloud-based AI/ML infra per security standards.
• Design secure, reusable AI/ML services and APIs for enterprise apps.
• Conduct model validation and responsible AI practices for fairness and transparency.
• Maintain AI/ML architecture docs and artifacts per sprint cycles.
• Support AI/ML metrics and KPIs in dashboards and reports.
• Guide teams on third-party ML tools and secure integrations.

Kenntnisse

AI/ML architecture

Cloud AI/ML pipelines

Python programming

TensorFlow

PyTorch

Keras

MLflow

Kubernetes

CI/CD

Ausbildung

BA/BS degree

MS or PhD preferred

Tools

Amazon SageMaker AI

Azure Machine Learning

Google Cloud Vertex AI

Terraform

Kubeflow

Docker

Jobbeschreibung

GDIT is seeking an AI/ML Architect SME to define, design, deploy, and maintain modular AI/ML architecture for the CMM Program supporting 204+ federal courts nationwide. You will lead end-to-end pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.

We require 15+ years in the field, with at least 5+ years hands-on cloud AI/ML experience using SageMaker, Azure ML, or Vertex AI. Strong Python, Docker, Kubernetes, and MLOps tooling skills are essential.