1614 3rd Class Operating Engineer Consulting jobs in Washington,DC

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Network Engineer - Top Secret Clearance (SCI Eligible)

JFL CONSULTING LLC

Washington, DC 20001

HybridHealth InsurancePaid Time OffRetirement Benefit

Top Secret Clearance (SCI Eligible)
Mid-Level (3-8+ years) experience
Knowledge of Cisco IOS and Juniper switching/routing protocols, QOS, OSPF, BGP, EIGRP etc.
Understanding of Wi-Fi technologies and wireless controllers
Working technical knowledge of network security tools and tactics
Excellent problem solving and troubleshooting skills
Strong verbal and written communication skills
Stays current on the latest networking technologies and trends
Minimum Required Certification: Cisco Certified Network Professional (CCNA)
Minimum Required Certification: DOD 8570 IAT II Certification (Ex. Sec+, CISSP, GCIH, CYSA+)

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AI Native Engineering Manager – Consultant

Ernst & Young Oman

Washington, DC 20022

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Senior Consultant

Demo Site

Washington, DC 20022

$75,000-$100,000/yr

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Manager, AI Engineer

KPMG

Washington, DC 20011

OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

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Construction Cost Engineer, AMER Cost Control

Amazon Data Services

Herndon, VA 20170

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field
Experience directly related to the design or construction of data centers or critical infrastructure or large-scale mechanical and electrical plants
Experience in MS Excel, Word, and Windows Operating Systems
Experience with power management and power monitoring systems
Experience in construction management of large, complex projects involving large-scale mechanical, electrical and plumbing (MEP) plants

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Director, AI Engineer

KPMG

Washington, DC 20011

OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
Travel as needed
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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