Global Infotek - Herndon, VA
posted 3 months ago
Global InfoTek Inc. (GITI) is seeking a highly skilled and motivated Senior Machine Learning (ML) Engineer to join our dynamic team. This exciting remote telework opportunity involves researching, developing, implementing, and deploying machine learning models and algorithms to tackle a variety of cyber analytical challenges. As a key member of our team, you will collaborate with cross-functional teams to identify opportunities for applying machine learning techniques, collect and preprocess data, design and train models, and deploy solutions into production environments. This role not only offers the chance to work with state-of-the-art technologies but also allows you to make a significant impact in the field of machine learning. In this position, you will be responsible for architecting and integrating ML models, algorithms, tools, and techniques into existing or new environments. You will work closely with data scientists to design, develop, and integrate ML models and algorithms to address specific problems such as classification, regression, clustering, and recommendation systems. Your role will also involve introducing ML and pattern recognition to discover hidden insights, as well as conducting data integrity and validation actions. You will be expected to exercise creativity in applying non-traditional approaches to the analysis of unstructured data, supporting high-value use cases through multi-dimensional visualization. The ideal candidate will possess strong technical and computational skills in engineering, physics, and mathematics, along with the ability to code, design, develop, and deploy sophisticated applications using advanced structured data analysis techniques. You will utilize advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex cyber-security data, delivering actionable recommendations for business and analytic decisions. Additionally, you will recommend and implement interactive reports, visual analytics, and dashboards focused on understanding and utilizing deep packet inspection of structured and unstructured collected digital data. Staying updated on the latest advancements in large data analytics and machine learning research will be crucial, as will identifying opportunities for innovation and improvement.