Havre de Grace • 50 milesRemote · Hybrid · Onsite · Field · All Environments
Havre de Grace • 50 milesRemote · Hybrid · Onsite · Field · All Environments
Havre de Grace • 50 milesRemote · Hybrid · Onsite · Field · All Environments
Havre de Grace • 50 milesRemote · Hybrid · Onsite · Field · All Environments
5 cloud security engineer mlops engineer jobs at 5 companies in Havre de Grace, MD
1d
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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
1mo
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AI Platform Engineer (PPA - 008)
Columbia, Maryland, United States
OnsiteFull Time
10+ YOEActive TS/SCI with polygraph required. 10–12+ years experience (10 with Master's, 12 with Bachelor's) in computer science/engineering/IS or related; experience with Azure AI, AWS AI/ML, Kubernetes, Docker, MLOps, DevSecOps, IaC, and secure government cloud environments.
Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, platform observability tools
2mo
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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
3d
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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 technical documentation skills.
AWS, Amazon SageMaker, DevOps, MLOps
2mo
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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