Artificial Intelligence – Machine Learning Architect, SME

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $195.2k - $264.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Machine Learning Engineer

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This company has sponsored H1B visas in the past.

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Define, document, and maintain scalable, modular AI/ML architecture aligned with enterprise cloud strategy and CMM product 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 compliance with federal security standards • Design and support reusable, secure, 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 • Work as part of an agile development team to build and support modernization of enterprise-class software applications • Support the Case Management Modernization (CMM) Program

🎯 Requirements

• BA/BS or equivalent required; experience may be considered in lieu of degree • 15+ years of specialized experience in information systems required • Experience in lieu of degree: HS with 19+ years, AA/AS with 17+ years, BA/BS with 15+ years, MA/MS with 13+ years, or Doctorate/Ph.D. with 12+ years • Proven success architecting and deploying ML workflows in cloud environments, including AWS SageMaker, Azure ML, or GCP 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 • Familiarity with federal data governance, security, and privacy standards, including JISF, NIST 800-53, and FedRAMP • Proficiency with Terraform, CDK, or CloudFormation • Experience with multi-tenant distributed systems and cloud-native architecture patterns • Relevant AWS, Google, or equivalent ML certification preferred but not required • Must be able to pass a background check to obtain a Public Trust position • Must be a US Person: Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen • No security clearance currently required; no clearance required to obtain • Less than 10% travel required • Ability to work remotely

🏖️ Benefits

• Comprehensive medical plan options, some with Health Savings Accounts • Dental plan options • Vision plan options • 401(k) plan with 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 • Wellness packages • Competitive pay • Military-friendly workplace