Remote AI/ML Engineer - ACG / AEA

RemoteContingent Contract Award6 month opportunitySpringfield, VAConnected Logistics is seeking an AI/ML Engineer to build and integrate machine learning components into enterprise workflows. The focus is on implementing models, RAG pipelines, and supporting services that enable automation, classification, retrieval, and intelligent decision support. Ideally, the engineer should have prior successes building and deploying RAG + ML services in production. This opportunity is expected to last for six (6) months with travel to Washington, DC.Key Responsibilities: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.RequirementsMinimum 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.Must-Have Skill Sets (Technical + Methodologies)RAG Implementation (hands-on build experience)Document ingestion + chunking strategiesEmbedding generation and storageVector similarity search and retrieval optimizationMachine Learning Model DevelopmentClassification, clustering, and ranking modelsFeature engineering and dataset preparationModel tuning and evaluationLLM Application DevelopmentPrompt construction and chainingOutput validation and structured responsesIntegration of LLMs into workflows (not just experimentation)API and Service DevelopmentRESTful API design and implementationServing ML models in production (FastAPI, Flask, etc.)Stateless service designCI/CD for ML SystemsModel deployment pipelinesAutomated testing and validation before releaseVersion control for code + modelsCloud DeploymentRunning ML workloads in AWS or AzureContainerization (Docker)Basic orchestration patterns (serverless or container-based)Search and Similarity SystemsEmbeddings + cosine similarity / ANN searchDuplicate detection patternsRanking and scoring logicPerformance OptimizationLatency reduction for inferenceEfficient batching / caching strategiesMemory and compute-tuningTotal Rewards Statement:We believe in fairness and clarity throughout our hiring process. The anticipated salary range for this position is $155,000.00 to $165,000.00 good faith range based on factors such as your experience, geographic location, and any applicable contractual requirements, and may vary slightly.Beyond salary, we provide a robust benefits package and encourage ongoing professional development, because your growth and well-being matter to us. We're excited to support you in building a rewarding career with us!Connected Logistics respects the need for confidentiality for all applicants.Connected Logistics offers an excellent benefits package that includes health, dental, vision, life, and disability insurance, a great 401(k) package, and generous Paid Time Off.EOE/Disability/Veterans