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AI/ML Engineer (Mid-Level) - Hybrid (s/ s- Local to DMV only)

Swingtech

Washington, District of Columbia • Today

Full-time

Compensation information provided in the description

AI/ML Engineer (Senior)-Hybrid (s/ s- Local to DMV only)

Swingtech

Washington, District of Columbia • Today

Full-time

Compensation information provided in the description

AI Security Engineer- Hybrid (s/ s- Local to DMV only)

Swingtech

Washington, District of Columbia • Today

Full-time

Compensation information provided in the description

AI/ML Data Engineer- Hybrid (s/ s- Local to DMV only)

Swingtech

Washington, District of Columbia • Today

Full-time

Compensation information provided in the description

AI Test Engineer

Tandym Tech

Vienna, Virginia • Today

Easy Apply

Third Party, Contract

$54 - $54 per hour

(Only Local to MD) AI/ML Engineering Lead - Linthicum Heights, MD (Onsite)

MetaSense, Inc.

Linthicum Heights, Maryland • Today

Easy Apply

Contract

50 - 55

Artificial Intelligence Machine Learning Solutions Engineer 2

INSPYR Solutions

Hybrid in Dale City, Virginia • 11d ago

Easy Apply

Full-time

$120000 - $150000

AI Engineer 4 (AI Foundations, VLM Customization)

Capital One

McLean, Virginia • Today

Full-time

AI/ML Platform Engineer

MetaSense, Inc.

Linthicum Heights, Maryland • 4d ago

Easy Apply

Third Party, Contract

50 - 55

Lead AI Engineer (Business Intelligence & Reporting)

System One

Hybrid in Reston, Virginia • 14d ago

Easy Apply

Contract

$93.18

AI Engineer - Senior

Accenture LLP

Chantilly, Virginia • Today

Full-time

USD 94,000.00 - 187,600.00 per year

AI Engineer

eSolutionsFirst, LLC

McLean, Virginia • Today

Easy Apply

Contract

$60 - $80

AI Engineer

Smart Synergies

Hybrid in Reston, Virginia • 2d ago

Easy Apply

Contract

Depends on Experience

AI Engineer

ICF International, Inc.

Reston, Virginia • 13d ago

Full-time

USD 108,476.00 - 184,409.00 per year

AI Engineer

M9 Solutions

Washington, District of Columbia • Today

Full-time

USD 60,000.00 per year

AI/ML Engineer

Accenture LLP

Annapolis, Maryland • Today

Full-time

USD 120,000.00 - 220,000.00 per year

Jr. AI/ML Engineer

Accenture LLP

Annapolis, Maryland • Today

Full-time

USD 80,000.00 - 120,000.00 per year

Artificial Intelligence and Machine Learning Engineer (McLean, VA)

Ops Tech Alliance

McLean, Virginia • Today

Full-time

USD 140,000.00 - 180,000.00 per year

Agentic AI Engineer

Booz Allen Hamilton

Hybrid in Alexandria, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Agentic AI Engineer

Booz Allen Hamilton

Hybrid in Alexandria, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Cleared AI Senior Software Engineer (Hybrid)

Azusa Solutions LLC

Hybrid in Washington, District of Columbia • 8d ago

Full-time

150,000 - 175,000

Cleared AI Mid Software Engineer (Hybrid)

Azusa Solutions LLC

Hybrid in Washington, District of Columbia • Yesterday

Easy Apply

Full-time

120,000 - 142000

AI / ML Engineer

Accenture LLP

Arlington, Virginia • Today

Full-time

USD 103,200.00 - 196,400.00 per year

Agentic AI Platform Engineer

eSolutionsFirst, LLC

Vienna, Virginia • Today

Easy Apply

Contract

Depends on Experience

Artificial Intelligence / Machine Learning (AI/ML) Engineer (TS/SCI w/ FSP)

Praescient Analytics

McLean, Virginia • Today

Full-time

USD 120,000.00 - 240,000.00 per year

AI/ML Engineer

American Bureau of Shipping

Washington, District of Columbia • Today

Full-time

AWS Cloud/AI Engineer

Mindbank Consulting Group

Hybrid in Bethesda, Maryland • 10d ago

Easy Apply

Full-time

140000 - 155000

AI Engineer & Copilot Specialist

Oraapps Inc

Hybrid in Washington, District of Columbia • 3d ago

Easy Apply

Contract

Depends on Experience

AI/ML ENGINEER

Talent Software Services, Inc

Remote • 4d ago

Easy Apply

Third Party, Contract

$80 - $88

AI/ML Engineer

Findem Inc.

McLean, Virginia • 30+d ago

Easy Apply

Full-time

65 - 73

Job Details

Skills

DMV
Information Technology
Regulatory Compliance
Cost Reduction
Development Testing
Data Processing
Prototyping
Release Management
Meta-data Management
Extraction
Knowledge Base
Workflow
Microsoft Certified Professional
Auditing
SAFE
Regression Analysis
Data Quality
Acceptance Testing
Continuous Integration
Continuous Delivery
DevSecOps
Machine Learning Operations (ML Ops)
Code Review
Version Control
Technical Writing
Release Notes
Documentation
Incident Management
Knowledge Transfer
Demonstrations
Sprint
Computer Science
Software Engineering
Information Systems
Mathematics
Statistics
Data Science
Generative Artificial Intelligence (AI)
Python
SQL
Git
Automated Testing
Software Development
Machine Learning (ML)
Natural Language Processing
Evaluation
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Cloud Computing
Agile
LangChain
LlamaIndex
Semantics
Vector Databases
Kubernetes
Cyber Security
Accessibility
Privacy
Artificial Intelligence
FedRAMP
FISMA
Public Sector
Management
Document Processing
Knowledge Management
Health Insurance
Network
Life Insurance
Insurance
Training
Budget

DMV
Information Technology
Regulatory Compliance
Cost Reduction
Development Testing
Data Processing
Prototyping
Release Management
Meta-data Management
Extraction
Knowledge Base
Workflow
Microsoft Certified Professional
Auditing
SAFE
Regression Analysis
Data Quality
Acceptance Testing
Continuous Integration
Continuous Delivery
DevSecOps
Machine Learning Operations (ML Ops)
Code Review
Version Control
Technical Writing
Release Notes
Documentation
Incident Management
Knowledge Transfer
Demonstrations
Sprint
Computer Science
Software Engineering
Information Systems
Mathematics
Statistics
Data Science
Generative Artificial Intelligence (AI)
Python
SQL
Git
Automated Testing
Software Development
Machine Learning (ML)
Natural Language Processing
Evaluation
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Cloud Computing
Agile
LangChain
LlamaIndex
Semantics
Vector Databases
Kubernetes
Cyber Security
Accessibility
Privacy
Artificial Intelligence
FedRAMP
FISMA
Public Sector
Management
Document Processing
Knowledge Management
Health Insurance
Network
Life Insurance
Insurance
Training
Budget

Summary

About Swingtech

Swingtech delivers innovative Information Technology and Professional Support services to a diverse range of clients across the federal and intelligence communities. With over 15 years of trusted experience as a systems integrator, we apply agile methodologies and deep industry insight to help our customers achieve greater efficiency, compliance, and cost savings. At Swingtech, we're committed to excellence and long-term success for our clients and our team.

AI/ML Engineer (Mid)

Position Summary

The Mid-Level AI/ML Engineer is a hands-on technical contributor supporting the discovery, development, testing, deployment, and sustainment of DOL AI-enabled solutions. The position works closely with Senior AI/ML Engineers, data engineers, developers, business analysts, project managers, and DOL stakeholders to deliver secure, measurable, and maintainable AI capabilities.

Essential Duties

Develop AI/ML-enabled applications, APIs, data-processing components, model integration layers, RAG pipelines, retrieval services, workflow automations, and technical prototypes.
Support model development, fine-tuning, prompt/context engineering, evaluation, version control, release management, and production monitoring.
Build RAG capabilities using approved document ingestion, parsing, metadata extraction, chunking, embeddings, vector indexing, hybrid retrieval, reranking, citation validation, and knowledge-base refresh processes.
Implement agentic and workflow automation features, including approved MCP server or tool integrations, schema validation, controlled tool calls, audit logging, human-approval checkpoints, and safe failure handling.
Develop robust code in Python, SQL, and other required languages using secure software-development practices.
Create automated unit, integration, regression, data-quality, model-evaluation, and performance tests.
Support AI evaluation for model accuracy, relevance, hallucination, grounding, bias/fairness, explainability, safety, security, and user acceptance.
Participate in CI/CD, DevSecOps, MLOps, code-review, security-scanning, documentation, and source-control processes.
Prepare technical documentation, runbooks, test evidence, release notes, model documentation, and configuration records.
Support privacy, security, Responsible AI, accessibility, and ATO evidence-development activities.
Support operational monitoring, incident response, defect triage, corrective actions, and knowledge transfer.
Participate in agile ceremonies, demonstrations, backlog refinement, sprint planning, and retrospective improvement activities.

Required Qualifications

Bachelor's degree in computer science, data science, software engineering, information systems, mathematics, statistics, or another relevant technical discipline.
At least three years of overall relevant experience, including at least two years in AI/ML implementation, NLP, data science, generative AI, or AI-enabled software development.
Experience with Python, SQL, REST APIs, Git, automated testing, and software-development practices.
Experience or demonstrated proficiency with one or more of the following: ML frameworks, LLM APIs, RAG, embeddings, vector search, NLP, document intelligence, data pipelines, or model evaluation.
Familiarity with AWS, Azure, Google Cloud, or comparable cloud-development environments.
Ability to work effectively in a multidisciplinary agile team and communicate technical information clearly.
Must be willing to work 3 days onsite at customer site in Washington, DC.

Preferred Qualifications

Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, Hugging Face, MLflow, vector databases, containerization, or Kubernetes.
Familiarity with Federal cybersecurity, accessibility, privacy, Responsible AI, FedRAMP, FISMA, NIST, or ATO practices.
Experience supporting Government, public-sector, health, benefits, grants, inspections, case management, document-processing, or knowledge-management systems.

Summary of Benefits

15 PTO days
11 paid holidays
Medical Insurance with - 3 options (HSA with $600 Employer Contribution).
Dental Insurance with no age limit orthodonture.
Vision Insurance through EyeMed in and out of network coverage.
Short Term and Long-Term Disability coverage with 100% premium support,
Life insurance and AD&D with 100% premium support
Supplemental Life Insurance
Critical Care and Accident Insurance availability
Pet Insurance through Nationwide
Employee Assistance Program
401k with enrollment from day one. 4% deferral by company.
$1500 Annual Training Budget
$1500 Referral bonus
Eligibility for annual merit and discretionary bonus
Flexible work arrangements

Equal Opportunity Employer Minority/Female/Veterans/Disabled

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90882430
Position Id: 85cd1ff4660cd70fc95bd1b0aa2c3804
Posted 30+ days ago

Fitment

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Job Details

Skills

DMV
Information Technology
Regulatory Compliance
Cost Reduction
Development Testing
Data Processing
Prototyping
Release Management
Meta-data Management
Extraction
Knowledge Base
Workflow
Microsoft Certified Professional
Auditing
SAFE
Regression Analysis
Data Quality
Acceptance Testing
Continuous Integration
Continuous Delivery
DevSecOps
Machine Learning Operations (ML Ops)
Code Review
Version Control
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Documentation
Incident Management
Knowledge Transfer
Demonstrations
Sprint
Computer Science
Software Engineering
Information Systems
Mathematics
Statistics
Data Science
Generative Artificial Intelligence (AI)
Python
SQL
Git
Automated Testing
Software Development
Machine Learning (ML)
Natural Language Processing
Evaluation
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Cloud Computing
Agile
LangChain
LlamaIndex
Semantics
Vector Databases
Kubernetes
Cyber Security
Accessibility
Privacy
Artificial Intelligence
FedRAMP
FISMA
Public Sector
Management
Document Processing
Knowledge Management
Health Insurance
Network
Life Insurance
Insurance
Training
Budget

DMV
Information Technology
Regulatory Compliance
Cost Reduction
Development Testing
Data Processing
Prototyping
Release Management
Meta-data Management
Extraction
Knowledge Base
Workflow
Microsoft Certified Professional
Auditing
SAFE
Regression Analysis
Data Quality
Acceptance Testing
Continuous Integration
Continuous Delivery
DevSecOps
Machine Learning Operations (ML Ops)
Code Review
Version Control
Technical Writing
Release Notes
Documentation
Incident Management
Knowledge Transfer
Demonstrations
Sprint
Computer Science
Software Engineering
Information Systems
Mathematics
Statistics
Data Science
Generative Artificial Intelligence (AI)
Python
SQL
Git
Automated Testing
Software Development
Machine Learning (ML)
Natural Language Processing
Evaluation
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Cloud Computing
Agile
LangChain
LlamaIndex
Semantics
Vector Databases
Kubernetes
Cyber Security
Accessibility
Privacy
Artificial Intelligence
FedRAMP
FISMA
Public Sector
Management
Document Processing
Knowledge Management
Health Insurance
Network
Life Insurance
Insurance
Training
Budget

Summary

Develop AI/ML-enabled applications, APIs, data-processing components, model integration layers, RAG pipelines, retrieval services, workflow automations, and technical prototypes.
Support model development, fine-tuning, prompt/context engineering, evaluation, version control, release management, and production monitoring.
Build RAG capabilities using approved document ingestion, parsing, metadata extraction, chunking, embeddings, vector indexing, hybrid retrieval, reranking, citation validation, and knowledge-base refresh processes.
Implement agentic and workflow automation features, including approved MCP server or tool integrations, schema validation, controlled tool calls, audit logging, human-approval checkpoints, and safe failure handling.
Develop robust code in Python, SQL, and other required languages using secure software-development practices.
Create automated unit, integration, regression, data-quality, model-evaluation, and performance tests.
Support AI evaluation for model accuracy, relevance, hallucination, grounding, bias/fairness, explainability, safety, security, and user acceptance.
Participate in CI/CD, DevSecOps, MLOps, code-review, security-scanning, documentation, and source-control processes.
Prepare technical documentation, runbooks, test evidence, release notes, model documentation, and configuration records.
Support privacy, security, Responsible AI, accessibility, and ATO evidence-development activities.
Support operational monitoring, incident response, defect triage, corrective actions, and knowledge transfer.
Participate in agile ceremonies, demonstrations, backlog refinement, sprint planning, and retrospective improvement activities.

Required Qualifications

Bachelor's degree in computer science, data science, software engineering, information systems, mathematics, statistics, or another relevant technical discipline.
At least three years of overall relevant experience, including at least two years in AI/ML implementation, NLP, data science, generative AI, or AI-enabled software development.
Experience with Python, SQL, REST APIs, Git, automated testing, and software-development practices.
Experience or demonstrated proficiency with one or more of the following: ML frameworks, LLM APIs, RAG, embeddings, vector search, NLP, document intelligence, data pipelines, or model evaluation.
Familiarity with AWS, Azure, Google Cloud, or comparable cloud-development environments.
Ability to work effectively in a multidisciplinary agile team and communicate technical information clearly.
Must be willing to work 3 days onsite at customer site in Washington, DC.

Preferred Qualifications

Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, Hugging Face, MLflow, vector databases, containerization, or Kubernetes.
Familiarity with Federal cybersecurity, accessibility, privacy, Responsible AI, FedRAMP, FISMA, NIST, or ATO practices.
Experience supporting Government, public-sector, health, benefits, grants, inspections, case management, document-processing, or knowledge-management systems.

Summary of Benefits

15 PTO days
11 paid holidays
Medical Insurance with - 3 options (HSA with $600 Employer Contribution).
Dental Insurance with no age limit orthodonture.
Vision Insurance through EyeMed in and out of network coverage.
Short Term and Long-Term Disability coverage with 100% premium support,
Life insurance and AD&D with 100% premium support
Supplemental Life Insurance
Critical Care and Accident Insurance availability
Pet Insurance through Nationwide
Employee Assistance Program
401k with enrollment from day one. 4% deferral by company.
$1500 Annual Training Budget
$1500 Referral bonus
Eligibility for annual merit and discretionary bonus
Flexible work arrangements

Equal Opportunity Employer Minority/Female/Veterans/Disabled

Dice Id: 90882430
Position Id: 85cd1ff4660cd70fc95bd1b0aa2c3804
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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Similar Jobs

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