Senior/Staff Forward Deployed Machine Learning Engineer (Applied AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior/Staff Forward Deployed Machine Learning Engineer (Applied AI): Deploying high-impact GenAI production use cases for enterprise customers with an accent on LLM fine-tuning, RAG, and agentic workflows. Focus on externalizing research into production settings, designing scalable AI architectures, and bridging the gap between research and customer needs.
Location: On-site in Munich, Germany
Company
democratizes AI through high-performance, open-source models and a comprehensive AI platform designed to meet enterprise needs.
What you will do
- Deploy production GenAI use cases with significant business impact across various industries.
- Develop state-of-the-art LLM applications, ranging from consumer products to complex industrial use cases.
- Collaborate with researchers and product engineers on complex fine-tuning and contribute to open-source codebases for inference and fine-tuning.
- Lead pre-sales technical guidance to identify client needs and explain Mistral technologies to diverse stakeholders.
- Provide continuous feedback to product and science teams to improve model and product capabilities.
Requirements
- PhD/Master's in AI/Data Science or equivalent self-taught expertise.
- 7-10+ years of experience as a technical individual contributor on AI-based products.
- Proven expertise in Fine Tuning LLMs, advanced RAG, and agentic use cases.
- Deep understanding of machine learning algorithms and the concepts underlying LLMs.
- Experience with Cloud Infrastructure and deploying large-scale AI products.
- English: Fluent (C1+) proficiency required.
- Location: Must be based in or able to work on-site in Munich, Germany.
Nice to have
- Contributions to open-source LLM projects.
- Previous experience as a Forward Deployed Engineer, Staff ML Engineer, or Staff Data Scientist.
Culture & Benefits
- Collaborative, low-ego, and team-spirited environment.
- Opportunity to be part of a pioneering company shaping the future of AI.
- Culture focused on precision, human-centric design, and ambition.
- Dynamic, nimble team structure within a high-growth AI leader.
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