
10,000+ employees
Founded 1954
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $170.1k - $212.8k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🤖 Artificial Intelligence
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1954
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.
• Define, document, and maintain a scalable, modular AI/ML architecture aligned with enterprise cloud strategy and CMM Program requirements • Architect and implement end-to-end AI/ML pipelines covering data ingestion, feature engineering, model training, deployment, monitoring, and retraining • Integrate MLOps best practices for continuous integration, delivery, and machine-learning model lifecycle management • Ensure multi-tenant and multi-region AI/ML workloads are elastic, highly available, and cost-efficient • Use Infrastructure-as-Code tools to provision and manage cloud-based AI/ML infrastructure in accordance with federal compliance and security standards • Design and support reusable, secure, and performant AI/ML services and APIs for enterprise applications • Conduct model validation and optimization in cloud environments while ensuring responsible AI, fairness, and transparency • Maintain AI/ML architecture documentation and update artifacts per sprint cycles or as changes occur • Support AI/ML metrics, resource utilization, and performance KPIs in technical dashboards and reports • Guide teams in selecting and securely integrating third-party ML tools, frameworks, and SaaS offerings • Provide technical leadership, strategic direction, and tool recommendations for AI/ML architecture • Support the Case Management Modernization Program for the Administrative Office of the US Courts and 204+ federal courts
• BA/BS or equivalent required; Master of Arts or Science in a related field preferred • 15+ years of related experience required • At least 5+ years of recent, demonstrable, hands-on experience architecting and deploying AI/ML workflows in cloud environments • Experience with Amazon SageMaker AI, Azure Machine Learning, and/or Google Cloud Vertex AI • Hands-on experience with TensorFlow, PyTorch, scikit-learn, XGBoost, or Keras • Strong Python programming skills • Experience with Docker and Kubernetes for ML workloads • Experience with MLflow, Kubeflow, TFX, or Airflow and CI/CD integration for model deployment • Familiarity with JISF, NIST 800-53, and FedRAMP • Proficiency with Terraform, CDK, or CloudFormation • Experience with multi-tenant distributed systems and cloud-native architecture patterns • Must be able to pass a background check to obtain a position of Public Trust • Must be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen) • Preferred but not required certifications: AWS Certified Machine Learning Engineer – Associate; AWS Certified Machine Learning – Specialty; Microsoft Certified: Azure AI Apps and Agents Developer Associate; Microsoft Certified: Machine Learning Operations Engineer Associate; Google Cloud Professional Machine Learning Engineer
• Comprehensive medical plan options, including some with Health Savings Accounts • Dental plan options • Vision plan options • 401(k) plan with pre-tax and post-tax contributions and company match • Full flex work weeks where possible • Paid vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave • Typically 15 days of paid leave per calendar year • 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • AI-powered career tool identifying career steps and learning opportunities • Internal mobility team supporting career goals • Growth opportunities • Award-winning culture of innovation • Military-friendly workplace
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