Applied AI Engineer (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Applied AI Engineer (Generative AI): Building and implementing bespoke GenAI solutions for diverse industries with an accent on RAG, semantic search, and autonomous agents. Focus on designing scalable AI workflows, optimizing model performance, and ensuring compliance with regulatory frameworks like the EU AI Act.
Location: 38 Rue du Sentier, 75002 Paris, France. Must be fluent in French and English.
Company
is a global management consulting group that integrates data science, creativity, and strategy to drive digital transformation for clients worldwide.
What you will do
- Collaborate with cross-functional teams to design and build bespoke Generative AI applications.
- Develop and optimize applications using RAG techniques and advanced prompting strategies.
- Select and fine-tune foundational models to meet specific business requirements and cost-efficiency goals.
- Monitor production model performance, scalability, and reliability.
- Ensure all AI solutions comply with regulations such as GDPR and the EU AI Act.
- Conduct research on emerging AI frameworks and methodologies to share best practices.
Requirements
- Master's degree in computer science, engineering, or a related field.
- Strong programming proficiency in Python.
- Proven experience with GenAI frameworks like LangChain or LlamaIndex.
- Expertise in NLP, NLU, vector embeddings, and semantic search.
- Must be fluent in French and professional English.
- Experience with advanced prompting techniques such as Chain of Thought and ReAct.
Nice to have
- Knowledge of both proprietary and open-source ecosystems (OpenAI, AWS, Hugging Face, Mistral.ai, etc.).
- Experience navigating end-to-end security and compliance processes for AI.
Culture & Benefits
- Access to comprehensive training programs and resources from technology partners.
- Opportunity to work in a collaborative, innovation-driven environment.
- Exposure to a wide range of sectors and large-scale AI deployment projects.
- Commitment to professional growth and continuous learning.
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