Data Scientist AI Architect

2 days ago

Bellevue, Washington, United States Amazon Full time
About the Role

We are seeking a highly experienced and skilled Senior Machine Learning Scientist to join our team at Amazon. As a key member of our OTS DataTech team, you will play a pivotal role in shaping the vision, roadmap, and execution of science and engineering-based solutions from beginning to end.

As a Senior Machine Learning Scientist, you will be responsible for building foundational GenAI components that enable our customers to build GenAI applications for their use cases across OTS. You will work closely with cross-functional teams to develop cutting-edge scientific and engineering components that are highly scalable, extensible, and robust.

Your expertise in machine learning, programming languages, and software development will be essential in building an MLOps Platform that supports end-to-end AI/ML operations. You will also contribute to building data infrastructure that supports our DataMesh framework, enabling engineering and BI self-service architecture for DaaP, 3P software integrations, and more.

Responsibilities
  • Build and maintain an MLOps Platform that supports end-to-end AI/ML operations
  • Shape the vision and roadmap for AI/ML across the organization, leading research and development from concept to deployment
  • Guide teams to adopt software engineering best practices that uplift Operational Excellence standards
  • Promote and facilitate the adoption of AI/ML solutions across the organization
  • Build and maintain data infrastructure that supports the DataMesh framework and enables self-service architecture
Requirements
  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field, or Master's degree and 4+ years of industry or academic research experience
  • 5+ years of applied research experience
  • 5+ years of building machine learning models or developing algorithms for business application experience
  • Experience programming in Java, C++, Python, or related language
  • Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.

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