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Machine Learning Engineer
Machine Learning EngineerEmergency University • Los Angeles, California, United States
Machine Learning Engineer

Machine Learning Engineer

Emergency University • Los Angeles, California, United States
Hace más de 30 días
Tipo de contrato
  • A tiempo completo
  • Teletrabajo
  • Quick Apply
Descripción del trabajo

We are is seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge machine learning algorithms and models to improve our emergency response training programs.

Key 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.

Qualifications :

  • 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.
  • Why Join Us?

  • Collaborative and inclusive work environment.
  • Competitive salary and benefits package.
  • Opportunity for growth and career advancement.
  • If you are passionate about using your machine learning skills to make a positive impact on society, we would love to hear from you. Apply now to join our team.

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