BI/ML Engineer
Posted on :
01-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Amazon is a highly data driven company highly obsessive about metrics. BIE plays a crucial role can build and analyze data systems spot important business pattern create metrics that measure success and develop ways to validate our findings. BIE will work closely with the ICQA Learning and Finance departments to provide analytical support for the business.
Key job responsibilities
- contribute to the design implementation and delivery of complex BI solutions
- partner with Data Analysts to enhance data infrastructure data availability during Prime/Peak Events
- use data mining model building to create solutions for the growing analytical needs
- drive projects on machine learning data automation governance and standardization
- develop innovative BI and data analytics solutions leveraging generative AI (AWS Bedrock) to build intelligent knowledge bases and conversational interfaces for enhanced business insights and recommendations
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with forecasting and statistical analysis
- Experience with creating genAI/LLM models and applications using AWS services (Bedrock SM)
- Experience in programming with at least one modern language such as Java C ReactJS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
- contribute to the design implementation and delivery of complex BI solutions
- partner with Data Analysts to enhance data infrastructure data availability during Prime/Peak Events
- use data mining model building to create solutions for the growing analytical needs
- drive projects on machine learning data automation governance and standardization
- develop innovative BI and data analytics solutions leveraging generative AI (AWS Bedrock) to build intelligent knowledge bases and conversational interfaces for enhanced business insights and recommendations
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with forecasting and statistical analysis
- Experience with creating genAI/LLM models and applications using AWS services (Bedrock SM)
- Experience in programming with at least one modern language such as Java C ReactJS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
