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

Findr; Düsseldorf; Remote; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Join a dynamic European SaaS company at the forefront of AI technology, dedicated to transforming how legal and financial professionals handle complex documents. This role offers the opportunity to work on cutting-edge LLM deployment, fine-tuning models, and collaborating with experts in the field. As part of a rapidly growing team, you'll be instrumental in enhancing document processing capabilities, ensuring efficiency and accuracy. If you're passionate about real-world applications of AI and eager to make a significant impact, this is the perfect opportunity for you.

Qualifikationen

• 3+ years of experience in Machine Learning and Data Science with strong Python skills.
• Experience with NLP projects, ideally involving 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 summarization pipelines.

Kenntnisse

Python

Machine Learning

Natural Language Processing (NLP)

Document Classification

Data Science

Ausbildung

Bachelor's Degree in Computer Science or related field

Tools

Hugging Face

PyTorch

AWS

GCP

LangChain

Pinecone

Weaviate

Jobbeschreibung

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.