ML Data Scientist (w/m/d) in Duisburg
Core
Develop intelligent systems and data-driven software solutions using AI and Machine Learning to solve real-world problems for the North Rhine-Westphalian police.
Role type
ML Data Scientist
Builds
Production-ready ML models, feature pipelines, and RAG architectures for knowledge-based applications
Domain
Public Safety / Law Enforcement / AI
Deliverable
production ML models
Required skills
Machine Learning, Large Language Models (LLMs), Feature Engineering, Exploratory Data Analysis (EDA), Model Evaluation, Model Explainability, CI/CD for ML, Containerization (Kubernetes), Statistics, Hyperparameter Optimization
Preferred skills
Data Engineering, Data Lakes/Warehouses, Time-series and Image Feature Engineering, Robustness Testing, Automated Retraining
Technologies
LLMs, RAG, Kubernetes, CI/CD pipelines
Responsibilities
Perform data analysis and exploratory data analysis (EDA) for quality assessment and pattern discovery; Develop, train, and fine-tune large pre-trained language models (LLMs); Build feature pipelines and RAG architectures; Conduct model evaluation, explainability analysis, and robustness testing; Manage model deployment, monitoring, and automated retraining pipelines.
Seniority
Mid-Senior, hands-on IC