Machine Learning Engineer

Emergency University•Philadelphia, PA

About The Position

We are seeking a highly skilled Machine Learning Engineer to join our team. In this role, you will be responsible for developing and implementing machine learning algorithms and models to improve our emergency response training platform. You will work closely with our data science and software engineering teams to identify opportunities for using machine learning to enhance our products and services.

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Minimum of 3 years of experience in machine learning, data science, or a related field
Proficiency in programming languages such as Python, R, or Java
Strong understanding of machine learning algorithms and techniques, such as regression, clustering, and deep learning
Experience with machine learning frameworks, such as TensorFlow or PyTorch
Familiarity with data visualization tools, such as Tableau or Power BI
Excellent problem-solving and analytical skills
Strong communication and teamwork abilities
Ability to work independently and manage multiple projects simultaneously

Responsibilities

Develop and implement machine learning algorithms and models to improve our emergency response training platform
Work with our data science team to identify and collect relevant data for training and testing machine learning models
Collaborate with our software engineering team to integrate machine learning models into our existing platform
Continuously monitor and evaluate the performance of machine learning models and make necessary improvements
Stay updated on the latest advancements in machine learning and incorporate them into our products and services
Communicate complex technical concepts and findings to non-technical stakeholders
Participate in code reviews and provide constructive feedback to team members