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Monday Full Stack Data Scientist AI Team Israel, Tel Aviv District, Tel Aviv-Yafo 914649864
11.07.2024
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About The Role
monday AIteam is responsible for the end-to-end generative AI features within the monday.com platform, creating new experiences and value for our users and building the next-generation capabilities to enhance our platform. We invite you to join our exciting journey in pushing the boundaries of AI technology.
- You will utilize cutting-edge generative AI technology to develop and deploy innovative features at scale within monday.com's ecosystem.
- You will be responsible for initiating, planning, designing, and executing AI flows from research to production.
- You will use your engineering background, deep understanding of AI models, and data science methodologies to evaluate and develop AI-based pipelines.
- You will work closely with full-stack developers, product managers, data analysts, product designers, and other team stakeholders to build production-ready capabilities for more than 2 million users.
Your Experience & Skills
- . and ideally an advanced degree in a technical field such as Computer Science, Mathematics, Statistics, or equivalent experience
- 3+ years of experience as a Data Scientist in non-academic settings, ideally with a focus on Large Language Models, NLP, or other deep learning fields
- A demonstrated record of conceiving, designing, and shipping successful data science projects to production
- Hands-on proficiency with modern generative AI models, prompt engineering, multi-agents, and RAG architectures. Also, a solid understanding of transformers, optimized fine-tuning techniques, and evaluation methodologies of LLMs while using relevant frameworks (Hugging Face, LangChain, LlamaIndex, etc)
- Strong understanding of machine learning and deep learning algorithms and principles and familiarity with relevant frameworks (TensorFlow, PyTorch, etc. )
- High proficiency in Python - A must
- Previous knowledge in Typescript - An advantage
- Team player with strong communication skills
- This is a full-stack role - an ideal candidate will not only be comfortable with algorithmic tasks and modeling but also have the technical know-how to set up and operate the environments and tooling that they require
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