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Machine Learning Engineer, BADS

Global technology company specializing in e-commerce, cloud computing, and artificial intelligence
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Robotics
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Description For Machine Learning Engineer, BADS

Amazon is seeking a Machine Learning Engineer to join their Business Analytics and Decision Support (BADS) team, focusing on building next-generation software and processes for their global fulfillment centers. This role combines engineering expertise in machine learning, NLP, and computer vision with a strong product focus. You'll be responsible for implementing ML systems, product integrations, and performance optimizations while ensuring CI/CD compliance and best practices in software development and cloud infrastructure.

The position requires collaboration with science teams to transform research into production-ready solutions. You'll work in Amazon's vast network of fulfillment centers, helping to move millions of inventory units and ensure customer satisfaction. The role demands expertise in MLOps, AWS services, and scalable machine learning solutions.

As part of Amazon's engineering team, you'll have the opportunity to work with cutting-edge technology while contributing to solutions that impact millions of customers globally. The company offers comprehensive benefits, including medical, dental, vision coverage, parental leave, and a 401(k) plan. This is an excellent opportunity for someone passionate about machine learning and interested in making an impact at scale.

The ideal candidate will have strong software development experience, knowledge of ML frameworks, and a track record of implementing scalable solutions. Amazon values diverse backgrounds and experiences, making this an inclusive environment for growth and innovation.

Last updated 2 months ago

Responsibilities For Machine Learning Engineer, BADS

  • Own the development and operationalization of solutions deployed in production
  • Work across multiple teams to integrate solutions with partner products
  • Design model experimentation processes and frameworks
  • Help the team grow and cultivate best practices in software development, MLOps, and experimentation

Requirements For Machine Learning Engineer, BADS

Python
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture experience
  • Experience programming with at least one software programming language
  • 2+ years of experience with the AWS CDK or SDK
  • 1+ year's experience in MLOps
  • Experience with AWS SageMaker, EMR, S3, Lambda, Airflow and CI/CD Pipeline

Benefits For Machine Learning Engineer, BADS

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
401k
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Parental Leave
  • Paid Time Off (PTO)
  • 401k

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