Unavailable
AI/ML Engineer
Colorado Springs, CO, US
No sponsorship$190k-$220kDetected 731 days ago
PythonVector DatabasesMachine LearningTensorFlowPyTorchscikit-learnData ScienceLLMsRAGMLOpsLangGraphCybersecurity
About the role
- 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
Requirements
- Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
- Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
- Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
- Professional experience integrating AI capabilities into production systems or mission applications.
Nice to have
- Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
- Understanding of prompt engineering, retrieval quality, and grounding methods.
- Exposure to GPU-based or edge inference environments.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
- Active Secret clearance preferred
- ability to obtain one is required.
- For this role, the compensation range for candidates is $190k-$220k. *Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
Skills
- 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.
Compensation
- For this role, the compensation range for candidates is $190k-$220k. *Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
Visa & Work Authorization
- citizen and be willing to obtain and maintain a security clearance, as needed
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