AI/ML Engineer

Overview

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology. Responsibilities: * Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives. * Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain. * Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT). * Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy. * Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots. * Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs. * Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Education/Qualifications: Minimum Requirements:* **Must be a U.S. citizen and b...