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

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

Zusammenfassung

An innovative European SaaS company is seeking a Machine Learning Engineer to join their dynamic team in Stuttgart. This role involves fine-tuning and deploying transformer models for multi-language legal and NLP tasks, as well as building and monitoring document classification and summarisation pipelines. With a focus on real-world LLM deployment, you'll collaborate closely with legal experts and product managers, ensuring that cutting-edge AI solutions are effectively integrated into their flagship product. If you're passionate about advancing machine learning applications and enjoy working in a fast-paced environment, this opportunity is perfect for you.

Qualifikationen

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

Kenntnisse

Python

Machine Learning

Natural Language Processing (NLP)

Transformer Models

Document Classification

Ausbildung

Bachelor's 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 • Stuttgart, DE