Machine Learning EngineerEmergency University • Los Angeles, California, United States
Machine Learning Engineer
Emergency University • Los Angeles, California, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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. Collaborative and inclusive work environment. Competitive salary and benefits package. Opportunity for growth and career advancement.
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 :
Why Join Us?
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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