7 cloud security engineer mlops engineer jobs at 5 companies in Centreville, MD
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Senior DevOps / MLOps Engineer
Baltimore, Maryland, United States
$160k-$190k/yr OnsiteFull Time
5+ YOE5+ years in DevOps, platform, or SRE roles; deep Azure and production Kubernetes experience; infrastructure as code, scripting, production MLOps, cloud cost optimization, and security-conscious operations.
Microsoft Azure, AKS, Kubernetes, Langfuse, Octopus Deploy, Terraform, Bicep, Entra, E-Verify
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Systems Engineer 6 (AI-focused)
Annapolis Junction, Maryland, United States
OnsiteFull Time
18+ YOEActive TS/SCI with Full Scope Polygraph; extensive systems engineering experience across the full life cycle; cloud and AWS experience; AI/ML, MLOps, security, networking, data engineering, and stakeholder communication skills.
AWS, Amazon SageMaker, DevOps, MLOps
2mo
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Machine Learning Operations (MLOps) Engineer
College Park, Maryland, United States
$150k-$225k/yr OnsiteFull Time
3+ YOEBachelor's in CS/Engineering/Data Science, 3+ years experience in software/data/MLOps, proficiency with ML frameworks (PyTorch, TensorFlow), pipeline tools (Airflow, Kubeflow), Python, Docker, Kubernetes, cloud platforms, and ability to obtain U.S. security clearance.
PyTorch, TensorFlow, Airflow, Kubeflow, Python, Docker, Kubernetes, AWS, Azure, GCP, Terraform, CloudFormation, CI/CD
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AI Platform Engineer
Hanover, Maryland, United States
$91k-$211k/yr OnsiteFull Time
10+ YOEActive TS/SCI with Polygraph; 12 years experience with a Bachelor's or 10 years with a Master's in CS/Engineering/Information Systems (or related); experience with AI/ML platform, cloud (Microsoft Azure, AWS), containers, identity/security, and secure government environments.
Microsoft Azure, Microsoft Azure AI services, Microsoft enterprise services, Amazon Web Services (AWS), Amazon Web Services AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code
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Systems Engineer 3 (AI-focused)
Annapolis Junction, Maryland, United States
OnsiteFull Time
3+ YOERequires active TS/SCI with full-scope polygraph, systems engineering experience, cloud/AWS and AI/ML expertise, security and networking knowledge, data lifecycle experience, and strong communication skills.
AWS, Amazon SageMaker, DevOps, MLOps
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AI Platform Engineer – Senior
Columbia, Maryland, United States
OnsiteFull Time
12+ YOERequires 10–12+ years experience with a relevant degree, experience with AI/ML platform engineering in government or enterprise, familiarity with Microsoft and AWS ecosystems, cloud architecture, containers, identity/security, and strong communication skills.
Microsoft Azure, Amazon Web Services (AWS), Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, Microsoft enterprise services
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Systems Engineer 4 (AI-focused)
Annapolis Junction, Maryland, United States
OnsiteFull Time
8+ YOERequires active TS/SCI with full scope polygraph, systems engineering lifecycle experience, AWS cloud and AI/ML expertise, security and networking experience, data lifecycle management, and 8–14 years of experience depending on education.
AWS, Amazon SageMaker, DevOps, MLOps, ISO/IEC 15288