Machine Learning Engineer, eIS Analytics
Job summaryAmazon is seeking an exceptional Machine Learning Engineer to join the eIS team, part of the eCommerce Foundation organization, which serves Amazon customers by leading architectural innovation and delivering technology solutions for Amazon's consumer, digital, and other businesses.
The person in this position will play a key role in developing analytical solutions that provide information and insights needed to drive roadmap and investment decisions across the org.
In this role, you will build machine learning solutions end-to-end.
We are looking for a Machine Learning Engineer who can bring machine learning models into production together with a highly multi-disciplinary team of data scientist, engineers, strategic partners, product managers and subject domain experts.
The successful candidate will have experience in managing medium to large-scale data modeling projects.
They will enthusiastically seek to employ the new technology where it makes sense, interact with large and disparate data sources, and engage with a variety of tech and business leaders.
Key job responsibilitiesEnsuring that Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise.
Design solution architectures for applications that will use the machine learning models.
Deploy applications to AWS's cloud leveraging the full spectrum of the AWS cloud services.
Automate model training and testing and deployment via machine learning continuous delivery pipelines.
Design and implement metrics to verify model and algorithm effectiveness.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
The person in this position will play a key role in developing analytical solutions that provide information and insights needed to drive roadmap and investment decisions across the org.
In this role, you will build machine learning solutions end-to-end.
We are looking for a Machine Learning Engineer who can bring machine learning models into production together with a highly multi-disciplinary team of data scientist, engineers, strategic partners, product managers and subject domain experts.
The successful candidate will have experience in managing medium to large-scale data modeling projects.
They will enthusiastically seek to employ the new technology where it makes sense, interact with large and disparate data sources, and engage with a variety of tech and business leaders.
Key job responsibilitiesEnsuring that Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise.
Design solution architectures for applications that will use the machine learning models.
Deploy applications to AWS's cloud leveraging the full spectrum of the AWS cloud services.
Automate model training and testing and deployment via machine learning continuous delivery pipelines.
Design and implement metrics to verify model and algorithm effectiveness.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
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