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4 cloud security engineer mlops engineer jobs at 4 companies in Fallston, MD

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Machine Learning Operations (MLOps) Engineer
College Park, Maryland, United States
$150k-$225k/yr OnsiteFull Time
University of Maryland
University of Maryland: Public research university providing undergraduate and graduate degree programs.
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 (PPA - 008)
Columbia, Maryland, United States
OnsiteFull Time
SageCor Solutions
SageCor Solutions: Provides engineering services for the intelligence community.
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
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AI Platform Engineer
Hanover, Maryland, United States
$91k-$211k/yr OnsiteFull Time
RSC2
RSC2: Provides technical and engineering services to federal defense agencies.
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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AI Platform Engineer – Senior
Columbia, Maryland, United States
OnsiteFull Time
ARSIEM
ARSIEM: Provides cybersecurity and software engineering to government agencies.
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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