Senior Applied Scientist, (AiRES)
Core
Develop advanced ML solutions, Gen AI products, predictive models, and optimization algorithms to drive business and operational improvements for AWS Support.
Role type
Senior Applied Scientist (Generative AI & ML)
Builds
Scalable, efficient, automated processes for large-scale data analysis and Gen AI/ML model deployment.
Domain
Cloud computing, Generative AI, Machine Learning
Deliverable
production ML models
Required skills
Machine learning, deep learning, large language models, predictive modeling, optimization algorithms, statistical analysis, model validation, system scalability, Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
Preferred skills
Advanced applied science & engineering proficiency, multimodal model development, end-to-end deployment at scale
Technologies
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
Responsibilities
Establish scalable automated processes for large-scale data analysis; develop new AI technologies for personalization; adopt or invent new ML and analytical techniques for recommendations and large language models; collaborate with scientists, engineers, and product partners; own end-to-end development and deployment of Gen AI and ML solutions.
Seniority
Senior, hands-on IC