Emma Price is a Senior Machine Learning Engineer at Lockheed Martin, where she leverages over seven years of experience to drive innovative solutions in the realms of artificial intelligence and machine learning. In her current role, Emma is at the forefront of MLOps for a...
Emma Price is a Senior Machine Learning Engineer at Lockheed Martin, where she leverages over seven years of experience to drive innovative solutions in the realms of artificial intelligence and machine learning. In her current role, Emma is at the forefront of MLOps for a high-impact internal enterprise application that supports over 100,000 users. This critical application integrates complex data from both internal sources and external vendors, ensuring seamless data flow and operational efficiency. Emma's expertise in machine learning explainability is particularly noteworthy; she is dedicated to building responsible AI systems that enhance the usability of machine learning models while maintaining transparency and trustworthiness.
Emma's technical toolkit is extensive, featuring a robust command of AWS for cloud computing, Docker for containerization, and GitLab CI/CD for streamlined development workflows. She is proficient in advanced data processing and modeling techniques using Python, including libraries such as pandas for data manipulation, word2vec and BERT for natural language processing, and PyTorch for deep learning applications. Her experience with Neo4J and PostgreSQL further underscores her ability to manage and analyze complex datasets effectively.
In addition to her technical skills, Emma excels in project management and leadership, guiding cross-functional teams to deliver high-quality solutions on time and within budget. Her passion for research and development in the AI space drives her to stay ahead of industry trends, ensuring that Lockheed Martin remains a leader in defense and intelligence technology. Emma's commitment to innovation and responsible AI practices positions her as a key player in shaping the future of machine learning applications within the organization.
