Machine Learning Engineer - AWS
We are looking for a talented Machine Learning Engineer to join our team. In this role, you will partner with product managers, scientists and other engineers to prototype and develop production ready components for extracting relevant insights from various types of data streams to help customers better prepare to incidents and to mitigate issues faster. Candidates should be well familiar with best practices of training and deploying ML models in production, while being agile in developing flexible software to allow quick experimentation methods and iteration over usage patterns.
6+ years of professional experience in a software environment, developing high quality code
At least 3 years of professional experience developing and deploying data pipelines and ML models in production environment.
Experience using AWS services for storing and processing data.
Experience in architecting, designing, and building complex software systems
Python
Java
C++
Go
Kotlin
NumPy
Time Management Skills
Source control management
Building Data Pipelines
Pandas libraries
Process Improvement
Verbal communication
Driven and self-motivated
written communication
Flexibility/Adaptability
Detail oriented and highly organized
Multi tasker
According to JobzMall, the average salary range for a Machine Learning Engineer - AWS in 410 Terry Ave N, Seattle, WA 98109, USA is between $125,000 and $175,000 per year. The salary range can vary depending on experience, education, and other factors.
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Amazon.com, Inc., is an American multinational technology company based in Seattle, Washington, that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is considered one of the Big Four technology companies along with Google, Apple, and Facebook.
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