ActiveCampaign is seeking a Senior Data Scientist II specializing in Retrieval-Augmented Generation (RAG) to develop and optimize AI models. The role involves implementing RAG systems, prompt engineering, and collaborating with cross-functional teams. Ideal candidates have strong Python skills and machine learning experience.
Responsibilities
Test, evaluate and implement AI models with a focus on RAG.
Perform prompt engineering and testing to derive desired outcomes.
Collaborate with cross-functional teams to integrate AI solutions.
Optimize RAG models for performance, scalability, and cost savings.
Conduct research on advancements in AI and machine learning.
Write clean, efficient, and maintainable Python code.
Perform data preprocessing, feature engineering, and model evaluation.
Troubleshoot and debug AI models in monorepo settings.
Document AI models, processes, and workflows.
Requirements
Proven experience in Agentic drafting.
Proven experience as a Senior Data Scientist II or similar.
Strong proficiency in Python programming.
In-depth knowledge of Retrieval-Augmented Generation (RAG) models.
Experience in prompt engineering.
Experience with ML frameworks such as TensorFlow or PyTorch.
ActiveCampaign is a SaaS platform providing customer experience automation, including tools for marketing, sales, and email automation, as well as CRM functionalities. It leverages AI features to help businesses connect and engage with their customers.