AI Data Scientist – Agentic AI & RAG | Berlin

For our customer in Berlin Germany we are urgently looking for an experienced AI Data Scientist with strong analytical and mathematical skills combined with a hands-on engineering mindset.

In this role you will model complex problems develop and prototype Machine Learning Agentic AI and Retrieval-Augmented Generation (RAG) solutions and turn them into reliable production-ready AI tools.

You will work at the intersection of Data Science Machine Learning and AI Engineering developing intelligent solutions for complex real-world technical and telecom challenges.

Candidates must already be based in Berlin or be willing to relocate to Berlin.

Applicants must be eligible to work in the EU. Visa/work permit sponsorship is not provided.

This position is only available for employees. Candidates must be fluent in English.

Tasks and Responsibilities

• Design develop and improve Agentic AI systems and RAG pipelines that reason over technical documentation and live network data;
  
• Develop Machine Learning models for classification anomaly detection root-cause analysis and other data-driven use cases;
  
• Build robust AI evaluation and observability frameworks including evaluation datasets benchmarks offline/online evaluations regression testing LLM-as-a-judge approaches and quality monitoring;
  
• Define and monitor key AI quality metrics including accuracy retrieval quality latency and cost ensuring regressions are detected before reaching users;
  
• Turn Data Science and Machine Learning concepts into production-ready AI solutions covering data analysis modelling testing deployment operationalizing and MLOps;
  
• Write clean well-tested and maintainable Python code and contribute to high software engineering standards across the team;
  
• Research and experiment with emerging AI LLM and Machine Learning technologies translating promising approaches into practical features and production solutions;
  
• Collaborate closely with engineers data specialists and domain experts to solve complex telecom and network-related challenges.
  

• PhD in a quantitative discipline such as Physics Mathematics Computer Science Engineering Computational Chemistry Computational Biology or a related natural science;
  
• Strong hands-on background in mathematical and computational modelling;
  
• 3 years of experience developing software Data Science or Machine Learning systems in an industry or research environment alongside or following your studies;
  
• Hands-on experience building and implementing AI Agents Agentic AI and RAG solutions;
  
• Strong background in Data Science and Machine Learning including experience with tools such as scikit-learn XGBoost or LightGBM and deep learning frameworks;
  
• Strong Python and software engineering skills with an emphasis on clean structured tested and maintainable code;
  
• Good understanding of Agentic AI architecture including orchestration tools memory evaluation and guardrails;
  
• Experience evaluating and monitoring LLM and RAG systems including retrieval quality accuracy latency and cost;
  
• Strong research mindset with an interest in emerging AI technologies and their practical application;
  
• Strong communication collaboration and teamwork skills;
  
• Fluent English both written and spoken.
  

• Experience deploying and operating Machine Learning and AI solutions in cloud environments preferably AWS;
  
• Experience with AWS Bedrock ECS and S3;
  
• Experience with modern Agentic AI RAG and LLM tooling such as LangGraph Chroma FAISS LangSmith or Lang fuse;
  
• Experience with LLM evaluation observability prompt engineering and cost/latency optimization;
  
• Knowledge of MLOps and production ML practices;
  
• Experience with deep learning frameworks;
  
• Exposure to telecommunications networking signal processing or other data-rich technical domains.
  

Interested