Emergency University ยท 22 hours ago
Machine Learning Engineer
Emergency University is seeking a highly skilled Machine Learning Engineer to join their team. The role involves developing and implementing cutting-edge machine learning algorithms and models to improve emergency response training programs.
EducationPublic SafetyTraining
Responsibilities
Design, develop, and implement machine learning algorithms and models to improve our emergency response training programs
Collaborate with cross-functional teams to identify and prioritize areas where machine learning can be applied to improve our products
Conduct research and stay up-to-date with the latest advancements in machine learning techniques and technologies
Analyze and interpret large, complex data sets to identify patterns and trends
Develop data pipelines and infrastructure to support machine learning models
Work closely with data engineers to ensure data quality and integrity
Communicate complex technical concepts and findings to non-technical stakeholders
Qualification
Required
Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
Minimum of 3 years of experience in machine learning engineering
Strong understanding of machine learning algorithms and techniques such as regression, clustering, and deep learning
Proficiency in programming languages such as Python, R, and Java
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras
Familiarity with data visualization tools and techniques
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.
Company
Emergency University
Emergency University specializes in emergency response training, ERP consultation, technology solutions, and disaster equipment.
Funding
Current Stage
Early StageCompany data provided by crunchbase