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Agentic Ai Machine Learning Engineer

Washington,DC

2263 Agentic Ai Machine Learning Engineer jobs in Washington,DC

New, Posted 21 hours ago
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Delivery Consultant- AI/ML, Data & Machine Learning (DML)

Amazon

Arlington, VA 22201

~ 12 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Current, active US Government Security Clearance of TS/SCI or above
  • Experience in defining and creating benchmarks for assessing GenAI model performance
  • Experience applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects
  • 2+ years of computer vision experience
  • This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance.
SmartExplore AI is experimental.
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Machine Learning Engineer

BOOZ, ALLEN & HAMILTON

Arlington, VA 22204

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 2+ years of experience with artificial intelligence, data science, software engineering, or machine learning engineering, including developing and deploying models
  • Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
  • Experience developing code using a common programming language, including Python, C++, Rust, or Java
  • Experience with deep learning, computer vision, or generative AI
  • Experience with data handling and model development
  • Ability to solve client issues and problems
  • Secret clearance
  • Bachelor's degree
  • Secret clearance is required
SmartExplore AI is experimental.
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AI Engineer

BOOZ, ALLEN & HAMILTON

Washington, DC 20011

Urgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of experience building production systems, including AI / ML applications
  • Experience building LLM systems using RAG frameworks such as LangChain and LlamaIndex, or custom pipelines and vector stores with Pinecone, Weaviate, FAISS, or OpenSearch Vector Search
  • Experience designing embedding pipelines, including document ingestion, chunking strategies, indexing, metadata filtering, retrieval optimization, and hybrid search, and designing APIs and services using FastAPI, Flask, or Node.js
  • Experience with cloud-native architectures, including AWS services such as Bedrock, SageMaker, EKS or ECS, S3, IAM, Lambda, CloudWatch, and Secrets Manager, and agent frameworks and orchestration patterns such as LangGraph, tool calling, and function calling APIs
  • Experience implementing observability, including logging and tracing with OpenTelemetry, Datadog, or CloudWatch, and metrics pipelines tracking latency, throughput, token usage, cache hit rate, and error rates
  • Experience optimizing performance using caching layers such as Redis, parallelization or async workflows, and chunking and retrieval tuning, and designing automated evaluation pipelines using benchmark datasets, LLM-as-a-judge techniques, regression testing, and human evaluation workflows
  • Experience supporting production AI services, including deployment, monitoring, incident response, debugging, and performance tuning, and managing prompt templates, prompt versioning, model configurations, and structured outputs across development and production environments
  • Knowledge of AI security concepts, including prompt injection, jailbreak resistance, data leakage prevention, guardrails, secure prompt design, and responsible AI practices
  • Ability to obtain a TS/SCI clearance
  • Bachelor's degree
  • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
SmartExplore AI is experimental.
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AI Engineer - Entry to Expert Level (Maryland)

National Security Agency

Morningside, MD 20746

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Project Design Controls Engineer , Fleet Remediation Engineering, Fleet Remediation Engineering

Amazon Data Services

Herndon, VA 20171

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

  • 4+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience
  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Controls Engineering, or related field, or 5+ years of equivalent experience in building automation systems (BMS) and/or electrical power monitoring systems (EPMS) design and deployment.
  • 2+ years of experience with data center or mission-critical facility control systems, including both BMS and EPMS platforms.
  • 2+ years of experience with HVAC systems, mechanical plant strategies, control programming concepts, low voltage electrical systems, and/or electrical distribution systems, one-line diagrams, and power monitoring.
  • Demonstrated ability to read, interpret, and create construction drawings, control diagrams, specifications, and submittal documents.
SmartExplore AI is experimental.
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AI Engineer - Entry to Expert Level (Maryland)

National Security Agency

Riverdale, MD 20737

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Manager, Federal Artificial Intelligence (AI) Engineering

KPMG

Washington, DC 20001

  • A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science experience; U.S. Federal government consulting experience preferred
  • Bachelor's degree from an accredited college/university
  • Experience utilizing analytics / software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval
  • Deep technical understanding of data preparation approaches and machine learning algorithms
  • Knowledge / experience preforming data science from data discovery, cleaning, model selection, validation, to deployment
  • Experience coding artificial intelligence methods using object-oriented programming in software development processes (ability to restructure, refactor, and optimize code for efficiency)
  • Hands-on experience and knowledge in distributed computing architecture, massive-parallel processing big data platforms (Hadoop, MapReduce, HDFS, Spark, PySpark, Hive/Impala, H-Base / MongoDB / Casandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, GCP, and their D&A; related microservices)
  • Experience with command-line scripting, data structures, and algorithms; ability to work in Linux and/or cloud environments; ability to write production level code
  • Ability to travel as required to support firm engagements
  • Applicant must possess or be eligible for U.S. Government clearance
SmartExplore AI is experimental.
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New, Posted 21 hours ago
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Delivery Consultant- Data, WWPS ProServe Data and Machine Learning

Amazon

Arlington, VA 22201

~ 12 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
  • Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code
  • Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning
  • Current, active US Government Security Clearance of Top Secret or above
  • This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.
SmartExplore AI is experimental.
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Machine Operator

Crane Company

Washington, DC 20011

Onsite

  • High School diploma or equivalent
  • Experience: 0-5 years of experience in a related field
  • Competent in interpreting applicable specifications and understand operating principles of the machinery
  • Understand general shop computations
  • Problem solving, troubleshooting, and simple machine maintenance skills
  • Ability to understand oral and written instructions pertaining to work related matter, and to maintain routine records
  • Accurate color vision and depth perception
  • Ability to work satisfactorily on a sustained basis within any physical and environmental requirements applicable to area of assignment, e.g., highly repetitive work, hot tools or materials, epoxy or other chemical agents, fumes, noise, oily or similar conditions
  • Ability to flex work schedule to maintain processes and work flow as needed
  • Ability to read and understand production or engineering prints, production planning information and assembly aids, such as illustrations
SmartExplore AI is experimental.
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Senior Computer Scientist - Quality Assurance Framework (QAF) Oversight & Monitoring

Peraton

Herndon, VA 20171

~ 34 min Onsite

  • Bachelor's degree in a relevant field, such as Computer Science, with a minimum of 17 years of experience or Master's degree with a minimum of 12 years of work experience.
  • Experienced in algorithm development, data structures, and software development practices.
  • Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.
  • Experienced in utilization of the Quality Assurance Framework and standards.
  • Experienced in advanced analytics, machine learning, and data integration methodologies.
  • Experienced with intelligence databases, software, and analytical tools.
  • Ability to work collaboratively with users and stakeholders.
  • Capacity to adapt to changing situations to prioritize tasks effectively.
  • Excellent communication, analytical, and problem-solving skills.
  • Security Clearance: This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.
SmartExplore AI is experimental.
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