Emergency University ยท 11 hours ago
Machine Learning Engineer
Philadelphia, PA
Full-time
Onsite
Mid Level
3+ years expEmergency University is seeking a highly skilled Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine learning algorithms and models to improve their emergency response training platform, while collaborating with data science and software engineering teams.
EducationPublic SafetyTraining
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
Qualification
Required
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
Benefits
Competitive salary and benefits package
Opportunities for professional growth and development
Company
Emergency University
Emergency University specializes in emergency response training, ERP consultation, technology solutions, and disaster equipment.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase