AI / Machine Learning Engineer

Key Responsibilities: Develop, train, test, and evaluate AI/ML solutions. Build and integrate AI-enabled applications and services. Support mission-relevant generative AI, NLP, predictive analytics, classification, optimization, and related use cases. Establish repeatable model-development and evaluation processes. Evaluate accuracy, reliability, security, bias, and operational suitability. Develop APIs, pipelines, and integration mechanisms. Support model deployment, monitoring, configuration, and lifecycle management. Work with data scientists, architects, engineers, cybersecurity specialists, and operational users. Document assumptions, limitations, risks, and performance results. Apply responsible and secure AI-engineering principles.

Required Qualifications: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or related discipline.5+ years of software, data, or AI engineering experience, including demonstrated ML/AI development. Experience with PyTorch, Tensor Flow, Scikit-learn, or equivalent ML frameworks. Understanding of model development, validation, deployment, and monitoring. Experience integrating AI into operational applications. Required citizenship and security clearance.