Miriam Horovicz
About Miriam Horovicz
Miriam Horovicz is a Senior Machine Learning Engineer at NI with over 9 years of experience in machine learning and software development.
Miriam Horovicz at National Instruments
Miriam Horovicz is currently serving as a Senior Machine Learning Engineer at NI (National Instruments). She joined the company in July 2020, where she applies her extensive expertise in machine learning and data science to various projects. Her role involves leveraging machine learning algorithms to drive innovation and improve technologies. With over 9 years of experience in the field, Miriam brings a wealth of knowledge and practical skills to her position at NI.
Professional Journey at OptimalPlus
Before joining NI, Miriam Horovicz gained substantial experience at OptimalPlus, where she held several important roles over a span of six years. She started as a Software Developer from 2014 to 2018, later transitioning to the role of R&D Team Leader from 2018 to 2020 in the Holon Area of Israel. For a brief period in 2020, she also served as a Machine Learning Engineer at OptimalPlus. These diverse roles have equipped her with a robust skill set in software development, research and development, and machine learning.
Educational Background
Miriam Horovicz has a strong academic background that complements her professional experience. She earned a Master of Science in Machine Learning and Data Science from IDC Herzliya, completing her degree between 2020 and 2023. Prior to that, she obtained a Bachelor of Science in Computer Science from The Open University of Israel, where she studied from 2013 to 2016. Her educational qualifications underpin her expertise in machine learning and data science.
Career Experience in Machine Learning and Software Development
With over 9 years of experience in machine learning and software development, Miriam Horovicz has established herself as an expert in the field. Her career began in software development and evolved into a focus on machine learning through various impactful roles at OptimalPlus. This cumulative experience has provided her with a deep understanding of both the technical and practical aspects of machine learning and software development, making her a valuable asset in any technical and research-focused environment.