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Implementation Engineer

Washington,DC

1711 Implementation Engineer jobs in Washington,DC

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Web Developer Security Engineer

Nationwide IT Services

Washington, DC 20515

$115,000-$190,000/yr
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Hardware Design Engineer

Woodsong Technologies, LLC

Annapolis Junction, MD 20701

Flexible Schedule
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Java Software Engineer

C. Mack Solutions, LLC

Ashburn, VA 20147

$155,000/yr
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Data Engineer

BOOZ, ALLEN & HAMILTON

Washington, DC 20011

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of experience with major data science languages such as Python and R
  • 3+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases through Python, R, or SQL
  • Experience with database design and administration in DBMS such as SQL Server or PostgreSQL
  • Experience with data analytics, data mining, statistical analysis, or AI/ML
  • TS/SCI clearance with a polygraph
  • Bachelor's degree and 8+ years of experience in data engineering
  • Or 12+ years of experience in data engineering in lieu of a degree
  • Clearance: TS/SCI clearance with polygraph is required.
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Hardware Engineer

Tensley Consulting

Fort George G Meade, MD 20755

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Hardware Engineer, Level 1

Independent Software

Annapolis Junction, MD 20701

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Hardware Engineer

Athenix Solutions Group

Annapolis Junction, MD 20701

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Software Engineer - Java17+ and Spring Boot

TIER4 GROUP

Reston, VA 20190

New, Posted 10 hours ago
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Machine Learning Engineer

Capital One

Mc Lean, VA 22101

New, Posted 1 day ago
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AI & Analytics Solutions Engineer

Trident Maritime Systems

Arlington, VA 22202

~ 12 min Onsite

  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field
  • 3-5+ years of experience building and deploying machine learning or AI systems
  • Eligibility to work within government tenants (GCC, GCCH) and with FEDRAMP compliant solutions
  • Certifications in MS Azure, Dev Ops, Analytics, and AI
  • Strong programming skills in Python and SQL
  • Experience with machine learning model development, including supervised, unsupervised, and deep learning techniques
  • Familiarity with cloud platforms (e.g. Azure) and GPU-accelerated computing
  • Experience integrating AI models with enterprise systems, APIs, or edge devices
  • Experience with M365 Copilot deployment and Copilot Studio
  • Experience using Microsoft's Power Platform (Power Automate, Power BI, etc.)
  • Hands-on experience with ML Ops tools (ML flow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines)
  • Strong understanding of data structures, algorithms, and software engineering best practices
  • Strong problem-solving mindset and curiosity
  • Ability to translate ambiguous business needs into technical solutions
  • Comfortable working in fast-paced, iterative environments
  • Clear communication with both technical and nontechnical stakeholders
  • Understanding of AI governance, model monitoring, and responsible AI practices
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
  • All Trident Maritime Systems employees are encouraged to be fully vaccinated against COVID-19
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