AI Engineer (NLP/LLM)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer (NLP/LLM): Designing and implementing innovative AI services to enhance a global SaaS portfolio with an accent on NLP and LLM capabilities. Focus on building RAG applications, fine-tuning transformer-based models, and optimizing AI service provisioning for scalability.
Location: Hybrid in Mannheim, Germany (requires 3 days a week in the office)
Company
develops holistic Software-as-a-Service solutions leveraging AI to help global companies ensure transparency, efficiency, and trust across their value chains.
What you will do
- Design and implement innovative AI services to enhance the user experience across a global SaaS portfolio.
- Build, fine-tune, and deploy NLP and LLM applications, including entity resolution, intelligent search, and document understanding.
- Optimize provisioning of AI services for performance and scalability for an international customer base.
- Leverage observability tools and system data to generate actionable insights and improve platform intelligence.
- Collaborate with cross-functional teams to integrate AI-driven features into cloud-native applications.
Requirements
- Minimum of 3 years of professional experience in the AI field.
- Strong proficiency in Python and hands-on experience with ML and data science packages.
- Production experience with NLP solutions, including transformer-based models, entity recognition, and classification.
- Practical knowledge of LLMs, prompt engineering, RAG, and structured output generation.
- Containerization expertise using Docker for model packaging and deployment.
Nice to have
- Exposure to multi-lingual NLP or handling diverse text data.
- Previous work on ESG or compliance-related applications.
- Recent hands-on experience with modern NLP approaches.
Culture & Benefits
- Purpose-driven mission tackling complex challenges for global industry pioneers.
- Collaborative teamwork and an open communication culture.
- Flexibility and team bonding through hybrid work options.
- Support for personal and professional growth journeys.
- Sustainable mobility options for eco-friendly commuting.
- Fun team events and outings with global teams.
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