AI/ML Engineer Stf

Overview In this role you partner with internal stakeholders to translate requirements into end-to-end ML pipelines, integrate LLM capabilities, and drive research-driven innovations that scale AI across the enterprise. You apply Python, the data-science lifecycle, and deep-learning fundamentals to deliver high-impact, mission-critical AI solutions. You contribute to autonomy and AI software across LM products, advancing perception, planning, and control capabilities. This is an opportunity to shape enterprise AI adoption within a trusted aerospace program. Compensation / BenefitsMedical, Dental, VisionFlexible work arrangements (e.g., 4x10)401(k) matchPaid time offParental LeaveLife Insurance ResponsibilitiesDevelop, integrate, and deploy autonomy and AI algorithms for LM products and platformsTranslate requirements into development code and integrate autonomy/AI/ML componentsSupport the software lifecycle from requirements through development, testing, and deploymentDesign and implement human-machine interface scenarios and document interface requirementsReview test outcomes, troubleshoot, and debug issuesBreak missions into tasks and craft interfaces for human-machine interaction Key requirementsBachelor in Computer Science, Information Technology, Engineering, AI/ML, or related disciplineProficiency in Python with clean, documented codeKnowledge of data-science lifecycle, big-data concepts, deep-learning fundamentals, and reinforcement learningBasic awareness of Generative AI and large-language models (LLMs)Demonstrated initiative, research mindset, and ability to work with minimal supervisionStrong problem-solving and communication skills with internal customersProblem-solvingCommunicationSelf-motivationLLM frameworks or APIs (LangChain, OpenAI, Cohere)MLOps fundamentals: CI/CD, model versioning, monitoringDocker/Kubernetes