Machine Learning Engineer

Indus Group - Vienna, VA

Full-time

Vienna, VA

Professional, Scientific, and Technical Services

About the position

The Machine Learning Engineer will be responsible for building and enhancing machine learning models throughout all phases of development, including design, training, validation, and implementation. This role involves analyzing large-scale complex numerical and textual data to unlock insights and identify trends. The engineer will collaborate with a cross-functional team to deliver data science solutions and evaluate emerging technologies, all while utilizing cloud computing infrastructure.

Responsibilities

• Build and enhance machine learning models through all phases of development including design, training, validation, and implementation.
• Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
• Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
• Research and evaluate emerging technologies.
• Develop data science solutions based on tools and cloud computing infrastructure.
• Perform other duties as assigned.

Requirements

• Bachelor's degree in computer science, mathematics, physics, statistics, or related field.
• Strong experience with applying expertise in model design, training, validation, and monitoring.
• Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks.
• Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis.
• Experience with cloud computing infrastructure.
• Advanced SQL skills.
• Experience with data visualization concepts and tools.
• Ability to convey complex business problems to technical solutions.
• Ability to work individually, and as part of a team.
• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.