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Aiml Platform Engineer

Laurel,MD

860 Aiml Platform Engineer jobs in Laurel,MD

New, Posted 23 hours ago
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Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Capital One

Mc Lean, VA 22101

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Cyber Analytics Platform Architect

BOOZ, ALLEN & HAMILTON

Fort Meade, MD 20755

Education AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 8+ years of experience in defensive cyber operations, cybersecurity engineering, or security platform architecture
  • 3+ years of experience with SIEM platforms, such as Splunk, Elastic Security, Microsoft Sentinel, or Google Chronicle
  • 3+ years of experience working with stream processing and data brokering tools, such as Apache Kafka, Logstash, Fluentd, or Cribl
  • Experience designing security data pipeline architectures, including log collection, normalization, enrichment, and routing
  • Experience with data lake and analytics platforms, such as Databricks, Apace Iceberg, or Snowflake
  • Experience architecting detection engineering pipelines, threat hunting workflows, and automated response capabilities and integrating EDR or NDR solutions using tools, such as CrowdStrike, Corelight, or Trelix
  • Experience deploying platforms across cloud, on-premises, and disconnected environments using container orchestration, such as Kubernetes or Red Hat OpenShift, and applying Zero Trust principles and DoD cybersecurity frameworks
  • Secret clearance
  • HS diploma or GED
  • Secret clearance is required
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Manager - Systems Engineering and Governance

BAE Systems

Rockville, MD 20850

~ 32 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Master's Degree in Systems Engineering, Engineering, Aerospace Engineering, Electrical Engineering or a related technical field
  • 6+ years of systems engineering experience, including 2+ years supporting strategic deterrence or defense-related programs
  • 3+ years of supervisory or management experience
  • OCP or INCOSE CSEP certification
  • Proven experience with developing or overhauling SE governance policies and documents in a government or defense setting
  • Strong experience designing and delivering SE-related training programs
  • Expert knowledge of MBSE, digital engineering, DoDAF, SysML or related technical frameworks
  • Excellent written and verbal communication skills to effectively engage with technical and executive audiences
  • Master's Degree in Systems Engineering, Engineering, Aerospace Engineering or a related technical field
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Staff CORE Systems Engineer

Northrop Grumman

Baltimore, MD 21215

~ 34 min OnsiteEducation AssistanceHealth InsurancePaid Time Off

  • Relocation assistance may be available
  • CLEARANCE REQUIRED FOR START: Yes
  • CLEARANCE TYPE: Secret
  • TRAVEL: Yes, 10% of the Time
  • Bachelor's degree with 12 years of experience, a Master's degree with 10 years of experience, or a PhD with 8 years of experience in Science, Technology, Engineering, Mathematics, or other related technical fields; an additional 4 years of experience may be considered in lieu of a degree.
  • U.S Citizenship is required.
  • A current/active U.S Government Secret Clearance.
  • Ability to obtain Special Program Access (SAP).
  • Experience in systems engineering, preferably in the aerospace or defense industries.
  • Experience with system engineering design methods, including requirements analysis and flow-down, specification derivation, functional decomposition, and interface control documentation.
  • Experience participating in major systems reviews, including SRR, SFR, PDR, CDR, etc.
  • Experience working through the systems engineering process.
  • Proficient with systems engineering tools such as DOORS, CAMEO, MATLAB, or comparable software.
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Lead Systems Engineering

L3Harris Technologies

Millersville, MD 21108

~ 28 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree and minimum 9 years of prior relevant experience, or Graduate Degree and a minimum of 7 years of prior related experience. Or in lieu of a degree, a minimum of 13 years of prior related experience.
  • Demonstrated mastery of underwater acoustic propagation modeling using tools such as BELLHOP/BELLHOP3D, RAM/PE, CASS, SST, Acoustics Toolbox, KRAKEN, SCOOTER/SPARC, OASES, or equivalent physics-based solvers.
  • Expert fluency in ocean acoustics, including sound speed structure, volume and boundary interactions, signal propagation and coherence, ambient noise structure and coherence, and the traditional models and databases used to characterize them analytically.
  • Proven experience building end to end analysis workflows that integrate acoustic propagation models, MATLAB processing, environmental databases, and wrappers such as Bash script and C-language programming.
  • Experience validating such modeling outputs by cross checking against established legacy tools and physics-based benchmarks to ensure model fidelity and traceability.
  • Expertise in analyzing acoustic system design and performance, including ocean signal propagation and noise properties, sensor transduction, front-end signal conditioning, phased array design and performance, short- and long-haul telemetry, sonar and communications signal processing, and operator interfaces and data display.
  • Experience analyzing customer requirements and allocate performance specifications among all these end-to-end system elements is required; design expertise in one or more of these end-to-end system elements is a plus.
  • Experience applying acoustic modeling to deployed seabed sensor systems, mobile platform sonar systems, or underwater acoustic communications channels.
  • Experience translating raw model outputs into actionable system engineering artifacts such as performance budgets, detection range estimates, coverage assessments, and operational scenario analyses.
  • Familiarity and experience with experimental methods for characterizing ocean acoustic environments and sonar or communication system performance.
  • Experience planning at-sea activities, including defining sea test objectives and metrics, specifying acoustic sources and receivers, specifying at-sea recording and analysis for quality assurance, defining participant roles and responsibilities, defining platform capabilities, and managing data collection, analysis, and reporting.
  • Leadership experience in defining modeling standards, advancing internal toolchains, mentoring junior engineers, and shaping long term modeling and simulation strategy for undersea systems.
  • Demonstrated experience in systems engineering and the government program acquisition lifecycle.
  • Working knowledge of any standard system engineering process including MIL-STD-499, EIA-632, IEEE 1220 or IEEE/ISO/IEC 15288.
  • Experience using Microsoft Office products.
  • Knowledge with DOORs and Model-Based Systems Engineering (MBSE).
  • Ability to obtain and maintain U.S. DOD security clearance which requires U.S. Citizenship.
  • Ability to obtain and maintain any additional clearances as required.
  • Up to 15% of travel. Up to four weeks of continuous travel from home and aboard ships at sea
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Manager, Salesforce Health Cloud & Agentforce Forward Deployed Engineer

KPMG

Washington, DC 20002

~ 30 min OnsiteHealth InsuranceRetirement Benefit

  • Minimum of five years of Salesforce development experience with hands-on expertise in Apex, SOQL, SOSL, LWC, Aura Components, Flows, and Triggers
  • Bachelor's degree from an accredited College or University is required
  • Salesforce Certified Platform Developer I
  • Salesforce Certified Agentforce Specialist
  • Strong understanding of Salesforce Health Cloud data model and features, and experience integrating Salesforce with external systems (HL7/FHIR, EHR/EMR integrations preferred)
  • Proficiency in Salesforce APIs (REST, SOAP, Bulk, Streaming)
  • Experience with Version Control (Git)
  • CI/CD tools (Copado, Gearset, Jenkins, Azure DevOps, etc.)
  • Hands-on proficiency with Agentforce, Prompt Builder, generative AI concepts, and responsible AI delivery is required
  • Experience with Data Cloud, Service Cloud, and Marketing Cloud is strongly preferred
  • Strong knowledge of healthcare compliance (HIPAA, PHI/PII handling)
  • Experience with Salesforce Shield, Event Monitoring, Data Masking, OmniStudio (OmniScripts, Integration Procedures, DataRaptors)
  • Enterprise AI/ML services or external models
  • Agile/Scrum methodologies
  • Strong problem-solving, communication, and stakeholder management skills are preferred
  • Travel as required to support client engagements, team collaboration, and business development activities
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
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New, Posted 1 day ago
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AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

Capital One

Mc Lean, VA 22101

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AI Engineer - Entry to Expert Level (Maryland)

National Security Agency

Burtonsville, MD 20866

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Cyber Data Platform Architect

BOOZ, ALLEN & HAMILTON

Arlington, VA 22204

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 8+ years of experience in defensive cyber operations, cybersecurity engineering, or security platform architecture
  • 5+ years of experience designing security data pipeline architectures such as log collection, normalization, enrichment, and routing
  • 3+ years of experience with SIEM platforms such as Splunk Enterprise Security, Elastic Security, Micro sof t Sentinel, and Google Chronicle, and stream processing and data brokering tools such as Cribl, Apache Kafka, Logstash, and Fluentd
  • Experience architecting detection engineering pipelines, threat hunting workflows, and automated response capabilities
  • Experience deploying platforms across cloud, on-premises, and disconnected environments using orchestration tools such as Kubernetes and RedHat OpenShift
  • Experience operating in classified or compartmented environments with strict access controls
  • Knowledge of Zero T rus t, DoD or IC cybersecurity frameworks, and federal compliance standards
  • TS/SCI clearance
  • HS diploma or GED
  • Clearance: TS/SCI clearance is required
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Senior Real Estate Development Manager, AWS Infrastructure Services

Amazon Data Services

Arlington, VA 22201

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