Design, development, and optimization of machine learning and deep learning models
Design, implementation, and optimization of NLP solutions, large language models (LLMs), and retrieval-augmented generation (RAG) architectures
Building retrieval and knowledge layers for semantic search using embeddings and vector or graph databases
Building, deploying, and operating ML and generative AI services
Building and operating scalable data pipelines

Requirements

Minimum 7 years of professional experience as an AI / ML / Data Engineer
Degree in Computer Science, Mathematics, Physics, Data Science or equivalent qualification
Several years of experience with programming languages such as Python
Solid expertise in developing and optimizing machine learning and deep learning models with TensorFlow or PyTorch
Extensive experience in NLP as well as with LLM and RAG architectures
Professional experience in building retrieval and knowledge layers for semantic search using embeddings and vector or graph databases
Strong skills in building and operating scalable data pipelines with Apache Spark or SQL and ETL tools

Benefits

Base salary starting at €80,000 with profit-sharing up to €70,000
Flexible working hours and remote work
30 days of vacation
IT equipment such as Apple MacBook
Regular team events
Corporate benefits such as company pension plan, company health insurance, shopping and employee discounts

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningnatural language processinglarge language modelsretrieval-augmented generationdata pipelinesPythonTensorFlowPyTorchApache Spark