Principal AI/ML Engineer (SWE-4) - Careers at Leidos
Leidos
Principal AI/ML Engineer (SWE-4) - Careers at Leidos
Job Description
Principal AI/ML Engineer (SWE-4) at Leidos
Leidos is seeking a Principal AI/ML Engineer for our National Security Sector's Cyber & Analytics Business Area in Fort George G. Meade, MD. Join a talented team pioneering Security Engineering, Computer Network Operations, Mission Software, SIGINT, and Cryptographic Key Management. Make a real impact on national security with competitive benefits including PTO, 401K match, flexible schedules, and professional growth opportunities.
Mission Impact
Support the LOE program delivering rapid prototyping, advanced analytics, and cutting-edge visualizations. Focus on innovative data sources and tradecraft to answer critical intelligence questions in a collaborative, fast-paced environment.
Key Responsibilities
- Leverage MLOps to standardize ML lifecycles, ensuring scalable production systems.
- Engineer ML, Generative AI LLMs, RAG, and Agentic AI pipelines.
- Act as the bridge between data science and engineering, translating requirements into deployable solutions.
Required Skills & Qualifications
Proficiency in Python with TensorFlow, PyTorch, Scikit-learn, Keras, PySpark, vLLM, and NVIDIA CUDA. Expertise in GitLab, CI/CD, Docker, and Kubernetes. Bachelor’s in CS or related field with 11-15 years experience. Active TS/SCI with Polygraph required.
Desirable Expertise
MLOps, AWS SageMaker, AWS Bedrock, Gambit, Hub, Jira, Confluence, Docker Hub.
At Leidos, thrive on challenging assignments that drive professional growth. Apply today to deliver mission success in national security.
Locations
- Fort George G. Meade, Maryland, United States
Salary
154,050 - 278,475 USD / yearly
154,050 - 278,475 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
- Kerasintermediate
- PySparkintermediate
- vLLMintermediate
- NVIDIA CUDAintermediate
- GitLabintermediate
- GitLab CI/CDintermediate
- Dockerintermediate
- Kubernetesintermediate
- MLOpsintermediate
- AWS SageMakerintermediate
- AWS Bedrockintermediate
- Gambitintermediate
- Hubintermediate
- Jiraintermediate
- Confluenceintermediate
- Docker Hubintermediate
Required Qualifications
- Bachelor’s degree in computer science or related technical field (experience)
- 11-15 years of relevant experience (experience)
- Active TS/SCI with Polygraph clearance (experience)
Responsibilities
- Implement MLOps practices to automate ML model lifecycle from development to production
- Develop Machine Learning, Generative AI LLMs, RAG, and Agentic AI pipelines
- Bridge data science and software engineering to capture stakeholder requirements
- Build scalable prototypes and deploy innovative solutions
- Utilize proficiency in Python ML libraries and DevOps tools for mission impact
Benefits
- general: Paid Time Off
- general: 11 paid Holidays
- general: 401K with 6% company match and immediate vesting
- general: Flexible Schedules
- general: Discounted Stock Purchase Plans
- general: Technical Upskilling
- general: Education and Training Support
- general: Parental Paid Leave
Tags & Categories
Answer 10 quick questions to check your fit for Principal AI/ML Engineer (SWE-4) - Careers at Leidos @ Leidos.
Related Books and Jobs
Principal AI/ML Engineer (SWE-4) - Careers at Leidos
Leidos
Principal AI/ML Engineer (SWE-4) - Careers at Leidos
Job Description
Principal AI/ML Engineer (SWE-4) at Leidos
Leidos is seeking a Principal AI/ML Engineer for our National Security Sector's Cyber & Analytics Business Area in Fort George G. Meade, MD. Join a talented team pioneering Security Engineering, Computer Network Operations, Mission Software, SIGINT, and Cryptographic Key Management. Make a real impact on national security with competitive benefits including PTO, 401K match, flexible schedules, and professional growth opportunities.
Mission Impact
Support the LOE program delivering rapid prototyping, advanced analytics, and cutting-edge visualizations. Focus on innovative data sources and tradecraft to answer critical intelligence questions in a collaborative, fast-paced environment.
Key Responsibilities
- Leverage MLOps to standardize ML lifecycles, ensuring scalable production systems.
- Engineer ML, Generative AI LLMs, RAG, and Agentic AI pipelines.
- Act as the bridge between data science and engineering, translating requirements into deployable solutions.
Required Skills & Qualifications
Proficiency in Python with TensorFlow, PyTorch, Scikit-learn, Keras, PySpark, vLLM, and NVIDIA CUDA. Expertise in GitLab, CI/CD, Docker, and Kubernetes. Bachelor’s in CS or related field with 11-15 years experience. Active TS/SCI with Polygraph required.
Desirable Expertise
MLOps, AWS SageMaker, AWS Bedrock, Gambit, Hub, Jira, Confluence, Docker Hub.
At Leidos, thrive on challenging assignments that drive professional growth. Apply today to deliver mission success in national security.
Locations
- Fort George G. Meade, Maryland, United States
Salary
154,050 - 278,475 USD / yearly
154,050 - 278,475 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
- Kerasintermediate
- PySparkintermediate
- vLLMintermediate
- NVIDIA CUDAintermediate
- GitLabintermediate
- GitLab CI/CDintermediate
- Dockerintermediate
- Kubernetesintermediate
- MLOpsintermediate
- AWS SageMakerintermediate
- AWS Bedrockintermediate
- Gambitintermediate
- Hubintermediate
- Jiraintermediate
- Confluenceintermediate
- Docker Hubintermediate
Required Qualifications
- Bachelor’s degree in computer science or related technical field (experience)
- 11-15 years of relevant experience (experience)
- Active TS/SCI with Polygraph clearance (experience)
Responsibilities
- Implement MLOps practices to automate ML model lifecycle from development to production
- Develop Machine Learning, Generative AI LLMs, RAG, and Agentic AI pipelines
- Bridge data science and software engineering to capture stakeholder requirements
- Build scalable prototypes and deploy innovative solutions
- Utilize proficiency in Python ML libraries and DevOps tools for mission impact
Benefits
- general: Paid Time Off
- general: 11 paid Holidays
- general: 401K with 6% company match and immediate vesting
- general: Flexible Schedules
- general: Discounted Stock Purchase Plans
- general: Technical Upskilling
- general: Education and Training Support
- general: Parental Paid Leave
Tags & Categories
Answer 10 quick questions to check your fit for Principal AI/ML Engineer (SWE-4) - Careers at Leidos @ Leidos.
Related Books and Jobs