Machine Learning Engineer – NLP, LLMs, Python – Remote – €100,000

Findr; Berlin; Remote; EUR 100.000; Vollzeit

Zusammenfassung

A growing European SaaS company is seeking a Machine Learning Engineer specialized in NLP. You will fine-tune and deploy models to process complex legal documents, building scalable AI solutions while collaborating closely with teams. The role offers a competitive salary in a fast-paced environment surrounded by innovative technologies.

Qualifikationen

• 3+ years in Machine Learning or Data Science with strong Python skills.
• Experience with Hugging Face, PyTorch, or similar frameworks.
• Prior work on NLP projects including LLMs or RAG architectures.

Aufgaben

• Fine-tune and deploy transformer models for multi-language legal/NLP tasks.
• Build and monitor real-time document classification and QA pipelines.
• Collaborate with legal domain experts and product managers.

Kenntnisse

Python

Machine Learning

Natural Language Processing

Data Science

Tools

Hugging Face

PyTorch

AWS

GCP

Jobbeschreibung

Machine Learning Engineer – NLP, LLMs, Python – Remote – €100,000

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 uses 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 — no overreliance on off-the-shelf APIs
• Product is in production with hundreds of enterprise users
• Research and engineering work is deeply intertwined (not siloed)

What you’ll do :

Fine-tune and deploy transformer models for multi-language legal / NLP tasks

Build and monitor real-time document classification, summarisation and QA pipelines

Work with MLOps engineers to scale model performance

Collaborate with legal domain experts and product managers

What you’ll need :

3+ years in ML / DS with strong Python skills

Experience working with Hugging Face, PyTorch, or similar

Prior work on NLP projects, ideally including LLMs or RAG architectures

Bonus : AWS / GCP experience, exposure to LangChain, Pinecone, or Weaviate

If you’re excited by real-world LLM deployment — not just prototypes — let’s talk.