Machine Learning Engineer – NLP, LLMs, Python – Remote – €100,000
Findr — Deutschland, DE
- Published on
About the Role
Join a growing European SaaS company building AI-powered tools that help lawyers, consultants, and financial professionals process large volumes of complex documents in seconds. Their flagship product utilizes LLMs, retrieval-augmented generation (RAG), and custom fine-tuning to extract key insights from contracts, filings, and internal documentation, streamlining research, risk analysis, and compliance work.
Why This Company?
- Backed by top-tier investors and scaling fast across Europe and the US.
- They’ve built their own fine-tuned LLM pipelines, showcasing independence from off-the-shelf APIs.
- The product is in production with hundreds of enterprise users.
- Research and engineering work is deeply intertwined without being siloed.
What You’ll Do
- Fine-tune and deploy transformer models for multi-language legal/NLP tasks.
- Build and monitor real-time document classification, summarization, and QA pipelines.
- Work alongside MLOps engineers to scale model performance.
- Collaborate with legal domain experts and product managers.
What You’ll Need
- At least 3 years of experience in machine learning/data science with strong Python skills.
- Experience working with Hugging Face, PyTorch, or similar frameworks.
- Prior work on NLP projects, ideally with LLMs or RAG architectures.
Bonus
- Experience with AWS/GCP and exposure to LangChain, Pinecone, or Weaviate.
If you’re excited about real-world LLM deployment — not just prototypes — let’s talk.