AI/ML Engineer – ACG, AEA

Connected Logistics

AI/ML Engineer developing and integrating machine learning models and components for enterprise workflows. Focus on automation, classification, and intelligent decision support with the use of RAG pipelines.

Posted 7/3/2026contractRemote • Virginia • 🇺🇸 United StatesSeniorLead💰 $155,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing machine learning models and services, with a strong focus on API and microservice integration within DevSecOps pipelines. Proficient in ensuring model compliance and performance through rigorous evaluation and tuning processes.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingAPI DevelopmentAzure DevOps IntegrationPublic Trust Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningClassificationClusteringSimilarity SearchPredictionModel EvaluationError AnalysisPerformance OptimizationEmbedding GenerationVector Indexing

Tools & Technologies

PyTorchTensorFlowScikit-learnAWSAzure

Certifications & Qualifications

Master’s Degree in Computer ScienceActive Public Trust Clearance

Industry Keywords

DevSecOpsCI/CD WorkflowsGovernance ControlsData PipelinesML Inference

Tech Stack

Tools & technologies

AWSAzureMicroservicesPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Develop ML models and supporting services for classification, clustering, similarity search, and prediction.
Implement RAG pipelines: document ingestion, embedding generation, vector indexing, and retrieval tuning.
Build APIs and microservices to expose model capabilities to enterprise systems.
Integrate ML components into existing DevSecOps pipelines (Azure DevOps, CI/CD workflows).
Implement duplicate detection, ticket routing, SLA prediction, and root-cause assist features.
Optimize model performance for latency, throughput, and accuracy.
Conduct model evaluation, error analysis, and iterative tuning.
Work with Data Engineer to align data pipelines with model input requirements.
Ensure outputs are explainable, auditable, and compliant with governance controls.

Requirements

What you’ll need

Minimum 10 years of experience in AI/ML engineering, software development, or data science.
Master’s degree required in Computer Science, Engineering, or related field.
Must have an Active Public Trust clearance or higher.
Strong experience with Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
Experience with embeddings, vector similarity search, and retrieval systems.
Experience building and deploying APIs or microservices for ML inference.
Hands-on experience with AWS and/or Azure environments.
Experience integrating into CI/CD pipelines and production systems.

Benefits

Comp & perks

health, dental, vision, life, and disability insurance
great 401(k) package
generous Paid Time Off