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

Findr; Essen; Remote; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

Join a forward-thinking European SaaS company that is revolutionizing the legal and financial sectors with AI-powered tools. This innovative firm is focused on building advanced solutions that streamline complex document processing for professionals. As part of the team, you will fine-tune and deploy transformer models, collaborate with domain experts, and work on cutting-edge NLP projects. If you're passionate about real-world applications of machine learning and eager to make a significant impact, this opportunity is perfect for you. Be part of a dynamic environment that values research and engineering collaboration while contributing to a product in production with hundreds of enterprise users.

Qualifikationen

• 3+ years in ML/DS with strong Python skills.
• Experience with Hugging Face and PyTorch.
• Prior work on NLP projects, especially LLMs.

Aufgaben

• Fine-tune and deploy transformer models for legal/NLP tasks.
• Build and monitor document classification and summarisation pipelines.
• Collaborate with MLOps engineers to scale model performance.

Kenntnisse

Python

Machine Learning

Natural Language Processing (NLP)

Document Classification

Real-time Monitoring

Ausbildung

Bachelor's in Computer Science or related field

Master's in Data 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.