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

Findr; Köln; Remote; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Join a dynamic and innovative European SaaS company that is revolutionizing the legal and financial sectors with AI-powered tools. As a Machine Learning Engineer, you will play a crucial role in fine-tuning and deploying transformer models, enhancing document processing capabilities for legal professionals. This role offers the opportunity to work closely with MLOps engineers and domain experts, ensuring that the models you develop are not just theoretical but are actively deployed in real-world applications. If you are passionate about pushing the boundaries of AI and making a tangible impact, this position is perfect for you.

Qualifikationen

• 3+ years experience in Machine Learning and Data Science with strong Python skills.
• Prior work on NLP projects, ideally with 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 summarisation pipelines.

Kenntnisse

Machine Learning

Python

Natural Language Processing (NLP)

Transformer Models

Document Classification

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.

Machine Learning Engineer • Cologne , DE