Agentic AI Machine Learning Engineer

Job Number: R0235649 Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer, you understand goodsoftware is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning(ML)enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement completeAI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas likesoftware engineering, machine learning operations(MLOps), andsoftware deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors withsoftware systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have: 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kuberne