Senior Applied Scientist, Kumo
Core
Lead science vision and roadmap for Gen AI and Agentic AI systems to optimize cloud architectures and deliver production ML solutions at AWS scale.
Role type
Senior Applied Scientist (Gen AI / Agentic AI)
Builds
Production ML systems, agentic workflows, and scalable evaluation frameworks for AWS customers.
Domain
Cloud computing, Generative AI, Agentic AI, Deep Learning
Deliverable
production ML models
Required skills
Generative AI, Agentic AI systems, fine-tuning language models, continual learning, collaborative filtering, neural deep learning, statistical techniques, data mining, Python, Java, C++, C++, Perl
Preferred skills
Large scale machine learning systems, profiling and debugging, system performance optimization, scalability
Technologies
Python, Java, C++, C++, Perl, Generative AI frameworks, Deep Learning frameworks
Responsibilities
Define science vision and long-term research roadmap, mentor junior scientists and engineers, deliver real world production systems at AWS scale, work with business to formulate problems, analyze large datasets to derive insights, collaborate with software engineering teams to implement ML models, establish automated processes for model development and validation