
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.
- 0115+ years of specialized experience in information systems
- 02Proven success in architecting and deploying ML workflows in cloud environments
- 03Hands-on experience with TensorFlow, PyTorch, scikit-learn, or Keras
- 04Strong programming skills in Python
- 05Experience with containerization and orchestration
- 06Experience with MLOps tools
- 07Proficiency in IaC tools like Terraform or CloudFormation
- 08Familiarity with federal data governance and security standards
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GDIT
Job details
- Work model
- Completely Remote
- Commitment
- Full Time
- Category
- Information Technology
- Posted
- Today
AdWake up to a shortlist, not a search results page.
NeverApply scores every new listing against your CV, salary floor and visa. A handful of real matches by morning.
Get your daily matches