Machine Learning Engineer, AWS Supply Chain

AWS Applications and Higher Level Abstractions (Apps) is building services in Supply Chain Management and is looking for a Machine Learning Engineer (MLE) to work on next generation supply chain systems including demand planning, supply planning and sustainability. The role involves designing, implementing, and deploying state-of-the-art models and solutions used by users worldwide. Key responsibilities include:

• Helping define and partner with external teams on data strategy for training foundational models
• Supporting scientists on tooling including notebooks and training pipelines
• Establishing MLOps best practices and operations for the team

The team is also working on an assistant solution allowing users to ask data questions in natural language and get intelligent insights and exceptions.

The ideal candidate will have:

• 3+ years of non-internship professional software development experience
• 2+ years of experience in design or architecture of new and existing systems
• Programming experience with at least one software programming language
• 2+ years of industrial experience with Machine learning systems and big data processing
• Experience working with cross-functional teams

Preferred qualifications include:

• 3+ years of full software development life cycle experience
• Bachelor's degree in computer science or equivalent
• Coursework in machine learning
• 2+ years of industrial experience with AWS
• Experience with building or customizing large language models
• Java and Python experience

Amazon offers a comprehensive benefits package and values work-life harmony, inclusive team culture, and career growth opportunities.