Senior Machine Learning Engineer

Requirements

Must have:

- Bachelors degree in Machine Learning, Data Science, Mathematics, or a related field, with relevant military experience considered - At least 5 years of industry experience in machine learning, data science, and analytics - Proven experience with successful implementation of data science and algorithms - Ability to mentor junior ML engineers - Highly motivated with strong oral and written communication abilities - Proficient in navigating and programming in a Linux environment - Familiarity with both structured and unstructured databases - Advanced skills in data science programming languages (e.g., Python, Matlab) - Experience with Deep Learning frameworks (e.g., PyTorch, TensorFlow/Keras, scikit-learn, MXNet) - Able to work with large datasets and extract pertinent information - Active Secret clearance required, must be a U.S. Citizen

Responsibilities:

- Collaborate closely with senior scientists to comprehend complex problem sets and data parameters - Utilize machine learning and deep learning models to solve challenging issues - Assess and enhance algorithm performance through dataset creation and execution of controlled experiments - Apply signal processing, data fusion, and feature extraction techniques for advanced ML and DL solutions - Integrate innovative algorithms within multipurpose datasets for national safety and security initiatives

Company:

At ENSCO, we have been leading the way in engineering, science, and advanced technology solutions for over 50 years, serving various governments and private industries worldwide.

Our Mission Systems

Group is dedicated to creating cutting-edge products and services crucial for national safety and security. We foster a supportive and dynamic work environment offering competitive salaries and a comprehensive benefits package, allowing our team members to thrive in their roles. This position offers a hybrid work location, contributing to a flexibility that aligns with modern work practices.