Applied Scientist

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence

In short

As an Applied Scientist on the Purview AI Classification team, you will design, develop, and deploy end-to-end AI/ML systems, with a focus on Named Entity Recognition (NER) and Generative AI capabilities. You will drive experimentation, model evaluation, and improvements, while partnering with engineering and product teams to translate scientific advances into scalable enterprise solutions.

Responsibilities

Design, develop, and deploy AI/ML systems end-to-end.
Build and optimize Generative AI and LLM-based systems.
Write production-grade code in Python, C#, etc.
Partner with engineering, product management, and applied science teams.
Ship and operate large-scale AI services in the cloud.
Define and execute model evaluation strategies.
Implement MLOps practices.
Apply Responsible AI principles.
Stay current with advances in GenAI, LLM frameworks, and ML infrastructure.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
5+ years overall experience, including hands-on model development experience and writing production-quality code.
Solid understanding of ML fundamentals, model evaluation, experimentation, and performance trade-offs.
Experience building or operationalizing LLM / Generative AI systems, including RAG, prompt engineering, or agent-based architectures.
Ability to collaborate across disciplines and operate autonomously at senior IC scope.

Skills

PythonC#Generative AILLMRAGprompt engineeringMLOpsNamed Entity Recognition

#AI#Machine Learning#NLP#Generative AI#LLM#NER#Cloud#MLOps#Responsible AI

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