Principal AI/ML Engineer - Careers at Leidos
Leidos
Principal AI/ML Engineer - Careers at Leidos
Job Description
Join Leidos' Chief Data & Analytics Office as Principal AI/ML Engineer
Leidos' Operational AI (Ops.AI) division seeks a Principal AI/ML Engineer to transform cutting-edge models into production-ready solutions for mission-critical national applications. This remote role bridges data science and software engineering in a high-growth organization driving technology strategy.
Primary Responsibilities
- Lead secure design, training, and deployment of AI/ML models meeting performance, scalability, and security standards.
- Architect MLOps pipelines for model monitoring, retraining, and lifecycle management.
- Optimize models for production in cloud and on-premise environments.
- Collaborate to productionize prototypes with robust engineering practices.
- Mentor on MLOps, development, and operations best practices.
- Evolve team capabilities with industry trends.
Basic Qualifications
- Bachelor's in CS/Engineering +12 years or Master's +10 years experience.
- Python proficiency; TensorFlow, PyTorch, Scikit-learn experience.
- Software best practices: version control, testing, CI/CD.
- Full ML lifecycle knowledge.
- AI cybersecurity understanding.
- U.S. Citizen; eligible for security clearance.
Preferred Qualifications
- MLOps platforms (MLflow, Kubeflow, SageMaker).
- Containerization (Docker, Kubernetes).
- IaC (Terraform, CloudFormation).
- Spark, cloud platforms (AWS/Azure/GCP).
- AI ethics, NIST/CMMC, MITRE ATLAS.
- Open-source contributions.
Pay Range: $131,300 - $237,350 USD. Leidos outpaces the status quo—join disruptors accelerating innovation.
Locations
- Remote, United States, United States (Remote)
Salary
131,300 - 237,350 USD / yearly
Estimated Salary Rangehigh confidence
131,300 - 237,350 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- TensorFlowintermediate
- PyTorchintermediate
- Scikit-learnintermediate
- MLOpsintermediate
- Dockerintermediate
- Kubernetesintermediate
- MLflowintermediate
- Kubeflowintermediate
- AWS SageMakerintermediate
- Terraformintermediate
- Apache Sparkintermediate
- CI/CD Pipelinesintermediate
- Version Controlintermediate
- Automated Testingintermediate
Required Qualifications
- Bachelor's in Computer Science/Engineering +12 years or Master's +10 years experience (experience)
- U.S. Citizen with ability to obtain security clearance (experience)
- Proficiency in Python and ML frameworks (experience)
- Software engineering best practices (version control, testing, CI/CD) (experience)
- Full ML lifecycle expertise (experience)
- Cybersecurity principles for AI systems (experience)
Responsibilities
- Lead secure design, training, deployment of AI/ML models
- Architect automated MLOps pipelines for monitoring and lifecycle management
- Optimize model performance in cloud/on-premise environments
- Collaborate with data scientists and engineers for production solutions
- Champion software best practices and mentor team
- Stay current with MLOps trends
Benefits
- general: Remote/Teleworker flexibility across US
- general: Competitive pay $131K-$237K
- general: Mission-critical defense projects
- general: Professional growth and mentorship opportunities
- general: Comprehensive health and retirement plans
- general: Security clearance career advancement
Tags & Categories
Answer 10 quick questions to check your fit for Principal AI/ML Engineer - Careers at Leidos @ Leidos.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Principal AI/ML Engineer - Careers at Leidos
Leidos
Principal AI/ML Engineer - Careers at Leidos
Job Description
Join Leidos' Chief Data & Analytics Office as Principal AI/ML Engineer
Leidos' Operational AI (Ops.AI) division seeks a Principal AI/ML Engineer to transform cutting-edge models into production-ready solutions for mission-critical national applications. This remote role bridges data science and software engineering in a high-growth organization driving technology strategy.
Primary Responsibilities
- Lead secure design, training, and deployment of AI/ML models meeting performance, scalability, and security standards.
- Architect MLOps pipelines for model monitoring, retraining, and lifecycle management.
- Optimize models for production in cloud and on-premise environments.
- Collaborate to productionize prototypes with robust engineering practices.
- Mentor on MLOps, development, and operations best practices.
- Evolve team capabilities with industry trends.
Basic Qualifications
- Bachelor's in CS/Engineering +12 years or Master's +10 years experience.
- Python proficiency; TensorFlow, PyTorch, Scikit-learn experience.
- Software best practices: version control, testing, CI/CD.
- Full ML lifecycle knowledge.
- AI cybersecurity understanding.
- U.S. Citizen; eligible for security clearance.
Preferred Qualifications
- MLOps platforms (MLflow, Kubeflow, SageMaker).
- Containerization (Docker, Kubernetes).
- IaC (Terraform, CloudFormation).
- Spark, cloud platforms (AWS/Azure/GCP).
- AI ethics, NIST/CMMC, MITRE ATLAS.
- Open-source contributions.
Pay Range: $131,300 - $237,350 USD. Leidos outpaces the status quo—join disruptors accelerating innovation.
Locations
- Remote, United States, United States (Remote)
Salary
131,300 - 237,350 USD / yearly
Estimated Salary Rangehigh confidence
131,300 - 237,350 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- TensorFlowintermediate
- PyTorchintermediate
- Scikit-learnintermediate
- MLOpsintermediate
- Dockerintermediate
- Kubernetesintermediate
- MLflowintermediate
- Kubeflowintermediate
- AWS SageMakerintermediate
- Terraformintermediate
- Apache Sparkintermediate
- CI/CD Pipelinesintermediate
- Version Controlintermediate
- Automated Testingintermediate
Required Qualifications
- Bachelor's in Computer Science/Engineering +12 years or Master's +10 years experience (experience)
- U.S. Citizen with ability to obtain security clearance (experience)
- Proficiency in Python and ML frameworks (experience)
- Software engineering best practices (version control, testing, CI/CD) (experience)
- Full ML lifecycle expertise (experience)
- Cybersecurity principles for AI systems (experience)
Responsibilities
- Lead secure design, training, deployment of AI/ML models
- Architect automated MLOps pipelines for monitoring and lifecycle management
- Optimize model performance in cloud/on-premise environments
- Collaborate with data scientists and engineers for production solutions
- Champion software best practices and mentor team
- Stay current with MLOps trends
Benefits
- general: Remote/Teleworker flexibility across US
- general: Competitive pay $131K-$237K
- general: Mission-critical defense projects
- general: Professional growth and mentorship opportunities
- general: Comprehensive health and retirement plans
- general: Security clearance career advancement
Tags & Categories
Answer 10 quick questions to check your fit for Principal AI/ML Engineer - Careers at Leidos @ Leidos.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs