Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
About the role
- AI Specialist developing LLM-based applications connecting third-party tools for AI-enhanced procurement solutions. Collaborating with teams to create robust interfaces and information flows.
Responsibilities
- Identification and analysis of third-party tools whose outputs should be integrated into LLM applications
- Design and implementation of robust interfaces and pipelines to pass this information to LLM systems
- Design of LLM-augmented interfaces that guide users rather than solely relying on prompts
- Extraction of structured data from unstructured text, e.g., using LLM-assisted post-processing
- Collaboration with backend, ML, and product teams to create complete end-to-end flows
- Evaluation of response quality using well-defined benchmarks, user feedback, and usage logging
Requirements
- You have a degree in a technical or business-related field such as Computer Science, Mathematics, Physics, Mechanical Engineering, or an equivalent qualification
- You have several years of experience working with Python and developing new Machine Learning models
- You possess solid knowledge of working with APIs and data modeling
- Experience with OpenAI, LLama, LangChain, or similar toolkits is an advantage
- You have good German language skills and live in Nuremberg or the surrounding area
Benefits
- Attractive compensation model with multiple components (company pension plan, training)
- Discounts through Corporate Benefits (company fitness, job bike, etc.)
- Hybrid work enabling flexible work from home and from our office
- Responsibility from day one in an ambitious deep-tech environment
- A growing company with a lot of drive, openness, and team spirit
- Training opportunities and room for your ideas
Job title
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