7 cloud security engineer mlops engineer jobs at 7 companies in Hampstead, MD
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NSWC- Senior AI/ML Engineer (Computer Engineer IV)- Bedford, IN
Bedford or Crane or Washington or Tampa or Dayton or United States
OnsiteFull Time
Barbaricum: Provides technology and mission support to federal national security agencies.
10+ YOE10+ years in AI/ML engineering, software development, or applied data science; bachelor's degree; active DoD Secret clearance; expertise in LLMs, RAG, MLOps, ML frameworks, and secure cloud environments.
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.
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
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
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
Freddie MacOTCQB: FMCC: Purchases and securitizes home mortgages for the secondary market.
12+ YOE5+ Mgmt12+ years software engineering experience with 5+ years leading teams; Bachelor\u0002s in CS/Engineering or equivalent; production GenAI/AI/ML delivery, cloud-native, secure development, hands-on coding, stakeholder management.