Connected Logistics
51 - 200 employees
Founded 2007
🔒 Cybersecurity
🏛️ Government
Cybersecurity • Logistics • Government
Connected Logistics is a Certified Service Disabled Veteran Owned Small Business that provides comprehensive solutions for managing complex supply chains and information networks, particularly within military and government sectors. They specialize in services such as Network Operations & Cybersecurity, Health IT modernization, Cloud Computing, ERP Implementation, and Logistics Operations. With a focus on bridging business processes and information technology, they strive to enhance mission support for armed forces and contribute to efficient operations for the taxpayer.
AI/ML Engineer – ACG, AEA
Job not on LinkedIn
🔥 0 minutes ago
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Connected Logistics
51 - 200 employees
Founded 2007
🔒 Cybersecurity
🏛️ Government
Cybersecurity • Logistics • Government
Connected Logistics is a Certified Service Disabled Veteran Owned Small Business that provides comprehensive solutions for managing complex supply chains and information networks, particularly within military and government sectors. They specialize in services such as Network Operations & Cybersecurity, Health IT modernization, Cloud Computing, ERP Implementation, and Logistics Operations. With a focus on bridging business processes and information technology, they strive to enhance mission support for armed forces and contribute to efficient operations for the taxpayer.
📋 Description
• 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
• 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
• health, dental, vision, life, and disability insurance • great 401(k) package • generous Paid Time Off
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