Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Applied AI, Machine Learning Engineer (LLM): Driving the adoption and deployment of Mistral AI products by solving complex technical challenges for customers with an accent on LLM integration, fine-tuning, and RAG. Focus on implementing state-of-the-art GenAI applications and externalizing research into production settings.
Location: On-site in Seoul, South Korea
Company
Mistral AI democratizes AI through high-performance, optimized, open-source, and cutting-edge models and products designed for enterprise needs.
What you will do
- Onboard customers onto products and APIs, providing guidance on prompting, evaluation, and fine-tuning.
- Develop state-of-the-art GenAI applications across consumer and industrial use cases.
- Deploy production use cases with significant business impact across various industries.
- Collaborate with researchers and product engineers on complex projects and contribute to open-source codebases for inference and fine-tuning.
- Support pre-sales by providing technical guidance and explaining Mistral technologies to diverse stakeholders.
- Collaborate with product and science teams to improve model capabilities based on customer feedback.
Requirements
- Fluent in English and Korean.
- PhD or Master's degree in AI or Data Science.
- 2+ years of experience as a technical individual contributor (Data Scientist or Software Engineer) on AI-based products.
- Expertise in Fine Tuning LLMs, advanced RAG, or agentic use cases.
- Strong coding skills in Python and experience with PyTorch.
- Experience with agent frameworks such as Langchain and vector databases.
Nice to have
- Contributions to open-source projects in the LLM space.
- Experience as a Customer Engineer, Forward Deployed Engineer, Solutions Architect, or Technical Product Manager.
Culture & Benefits
- Dynamic, collaborative, and low-ego team environment.
- Opportunity to be part of a pioneering company shaping the future of AI.
- Commitment to driving innovation within a diverse, global workforce.
- Work with a distributed team spanning France, USA, UK, Germany, and Singapore.
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