Senior Applied Scientist, (AiRES)
Core
Develop advanced ML solutions, Gen AI products, predictive models, and optimization algorithms to build a state-of-the-art Support organization and drive operational efficiency and cost optimization.
Role type
Senior Applied Scientist (Generative AI & Operations Optimization)
Builds
Scalable, automated processes for large-scale data analysis, ML model development, validation, and deployment of Gen AI solutions.
Domain
Cloud Services / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
Machine learning model development, Neural deep learning methods, Large-scale ML systems, Model validation and serving, Java/C++/Python programming, Applied research
Preferred skills
Modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy), Personalization modeling, Large language models
Technologies
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
Responsibilities
Establish scalable automated processes for large-scale data analysis, conduct full-cycle development of ML models, research and develop new AI technologies for personalization, invent and launch new features, collaborate with data engineering and operations teams.
Seniority
Senior, hands-on IC