Machine Learning Engineer

<div class="content-intro"><p>For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide.</p> <p>ENSCO prides itself in creating and applying advanced technologies for mission success. We provide systems engineering, integration, and advanced technology services to transform the future safety, security, and resiliency of critical missions on the ground, in the air, in space, and in the information systems that connect these domains.</p> <p><a href="https://www.ensco.com/" target="_blank">Learn more about ENSCO.</a></p> <hr> <h3><strong>Position Description</strong></h3></div><p> </p> <p> </p> <p>ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.<br> <br>ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.<br> </p> <p><strong>Qualifications Required:</strong><br>•         Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.<br>•         Minimum of 3 years related industry experience in machine learning, data science, and analytics.<br>•         Proven track record of successful data science and algorithm implementation.<br>•         Provide mentorship to junior ML engineers.<br>•         A self-starter with excellent oral and written communication skills.<br>•         Experience navigating and programming within the Linux environment.<br>•         Experience working with structured and unstructured databases.<br>•         Advanced proficiency