Description

You will design and deploy Generative AI solutions, including conversational search interfaces, chatbots, text summarizers, and recommender engines.

Responsibilities

• Architect frameworks and infrastructure for GenAI products while optimizing model performance to meet product goals.
• Develop protocols for building fair, accountable, and transparent LLM-based applications, mitigating model bias and failure risks.
• Design and oversee the curation of high-quality datasets and implement robust feedback, monitoring, and safety pipelines.
• Build end-to-end data science pipelines encompassing feature generation, data visualization, and model evaluation.
• Collaborate with product managers and engineering leads to align on technical roadmaps and guide LLM implementation.

Required Skills

• 5+ years of experience in data science or machine learning roles.
• Expertise in Large Language Models (LLMs) and NLP techniques.
• Proficiency in Python for machine learning implementation.
• Working knowledge of Java.
• Experience with R.
• Ability to translate stakeholder needs into production-grade algorithms.
• Bachelor's degree.

Preferred Skills

• Experience contributing novel research to academic conferences or journals.

Key Skills

Education

Bachelor's degree