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

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

Zusammenfassung

Join a fast-growing European SaaS company focused on AI-powered tools for legal and financial professionals. In this role, you will fine-tune and deploy transformer models to enhance document processing capabilities, collaborating closely with domain experts and MLOps engineers. This innovative firm is backed by top-tier investors and is rapidly scaling across Europe and the US, offering a unique opportunity to work on cutting-edge NLP projects that impact real-world applications. If you're passionate about deploying LLMs and making a difference in the industry, this position is perfect for you.

Qualifikationen

• 3+ years of experience in Machine Learning and Data Science.
• Strong Python programming skills required.

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

Data Science

Natural Language Processing (NLP)

Transformer Models

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.