Join Lockheed Martin’s digital transformation journey as we accelerate the OneLM Mission-Driven Transformation through our 1LMX program. This strategic priority is reshaping our operations and business processes to better serve our customers in terms of cost, quality, and capabilities, while delivering the speed, agility, and insights necessary to stay ahead of rapidly-evolving threats. The Advanced Solutions team within the 1LMX data workstream is hiring an A/AI Machine Learning Engineer Sr to help develop our Generative AI products. The SEMPL solution is a groundbreaking effort to revolutionize Lockheed Martin's Software Engineering and Management Process (SEMP) and Systems Development Life Cycle (SDLC) using Generative AI and Data Science with application to the 1LMX deliverables. We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change and acceleration. What You Will Be Doing: In this role, you will play a critical role in transforming the way Lockheed Martin employees work by infusing Artificial Intelligence (AI) solutions into existing business processes. You will contribute to the development of the 1LMX AI Acceleration Products that drive acceleration, inform data-driven decision making, and help the organization stay ahead of the curve. This role will provide you with a unique opportunity to learn and grow in this exciting and constantly evolving space while making meaningful contributions to the team's efforts. You will be a part of the adoption process and iterate with continuous development, incorporating user feedback quickly and delivering for the fast-paced 1LMX scope. Who You Are: You are a motivated and enthusiastic engineer/full-stack developer with a strong foundation in software engineering, systems development, data science and AI technologies. With a start-up mentality and a growth mindset, you thrive in fast-paced environments, navigate ambiguity with ease, and are self-motivated to work independently.
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Job Type
Full-time
Career Level
Mid Level