Machine Learning Engineer BADS
Machine Learning Engineer BADS
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Amazon is building next generation software hardware and processes that will run our global network of fulfillment centers that move millions of units of inventory and ensure customers get what they want when promised.
The Business Analytics and Decision Support (BADS) team automates the ingestion and curation of data for analyses business reviews and operational reporting demands. Our north star is to enable and leverage the power of data to drive informed decisionmaking and value through analytical and scientifically derived insights and innovative solutions and processes.
As a Machine Learning Engineer within our BADS team you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge (around machine learning natural language processing computer vision) technical strength and product focus. It will be your job to implement novel ML systems product integrations and performance optimizations releases into production. While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability security and availability).
Key job responsibilities
Own the development and operationalization of solutions deployed in production.
Work across multiple teams to integrate our solutions with products owned by our partners.
Design model experimentation processes and frameworks in synergy with our scientists.
Help the team grow and cultivate best practices in software development MLOps and experimentation.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
2 years of experience with the AWS CDK or SDK
1 years experience and knowledge in MLOps in deploying operationalizing and maintaining scalable AI/MLsolutions in production
Prior experience developing and implementing scalable machine learning solutions with technologies such as AWS SageMaker EMR S3 Lambda Airflow and CI/CD Pipeline
3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
Experience with ML libraries/frameworks such as Tensorflow AWS Sagemaker Keras PyTorch etc.
Advanced knowledge of performance scalability enterprise system architecture and engineering best practices
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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.
The Business Analytics and Decision Support (BADS) team automates the ingestion and curation of data for analyses business reviews and operational reporting demands. Our north star is to enable and leverage the power of data to drive informed decisionmaking and value through analytical and scientifically derived insights and innovative solutions and processes.
As a Machine Learning Engineer within our BADS team you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge (around machine learning natural language processing computer vision) technical strength and product focus. It will be your job to implement novel ML systems product integrations and performance optimizations releases into production. While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability security and availability).
Key job responsibilities
Own the development and operationalization of solutions deployed in production.
Work across multiple teams to integrate our solutions with products owned by our partners.
Design model experimentation processes and frameworks in synergy with our scientists.
Help the team grow and cultivate best practices in software development MLOps and experimentation.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
2 years of experience with the AWS CDK or SDK
1 years experience and knowledge in MLOps in deploying operationalizing and maintaining scalable AI/MLsolutions in production
Prior experience developing and implementing scalable machine learning solutions with technologies such as AWS SageMaker EMR S3 Lambda Airflow and CI/CD Pipeline
3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
Experience with ML libraries/frameworks such as Tensorflow AWS Sagemaker Keras PyTorch etc.
Advanced knowledge of performance scalability enterprise system architecture and engineering best practices
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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
Department / Functional Area
Key Skills
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