18.08.2026 aktualisiert

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AI Architect & Senior Data Scientist (PhD) | LLM, GenAI & MLOps

Therwil, Schweiz
Therwil +50 km
PhD. Neuroscience (magna cum laude), Ruhr Universität Bochum, Bochum (2013)
Therwil, Schweiz
Therwil +50 km
PhD. Neuroscience (magna cum laude), Ruhr Universität Bochum, Bochum (2013)

Profilanlagen

Arthur_Jochems_CV_ModusData_2026.pdf

Über mich

PhD AI Architect & Principal at Modus Data GmbH. 10+ years deploying LLMs, NLP pipelines, and risk models across Pharma and FinTech. Specialized in turning complex deep learning architectures into secure, production-grade MLOps pipelines

Skills

Azure DatabricksMLOpsLangChainKünstliche IntelligenzComputer VisionBig DataMachine LearningTensorFlowData SciencePyTorchLarge Language ModelsApache SparkGenerative AI
AI Architecture & Generative AI (LLMs)
  • End-to-end design and deployment of custom Large Language Model (LLM) pipelines, RAG architectures, and agentic AI workflows.
  • Fine-tuning, prompt engineering, and model evaluation using PyTorch, Hugging Face Transformers, LangChain, and Pydantic/Instructor.
  • Specialized in hallucination control, explainability, and secure AI governance in highly regulated sectors (Pharma, Healthcare, FinTech).
Production MLOps & Data Engineering
  • Building enterprise data pipelines and optimizing workloads on Databricks (Apache Spark, PySpark, Delta Lake).
  • Scalable cloud deployment across AWS (S3, EC2, SageMaker), Azure (Machine Learning, Synapse), and GCP (Cloud Run).
  • Production containerization and microservices using Docker, FastAPI, and CI/CD best practices.
Advanced Machine Learning & Computer Vision
  • Custom deep learning modeling (PyTorch, TensorFlow, Vision Transformers, ResNet, XGBoost).
  • High-stakes predictive modeling, fraud detection (driving €1M+ operational savings), and time-series forecasting.
  • Large-scale medical image analysis and real-world evidence (RWE) modeling on 100TB+ datasets.

Sprachen

DeutschgutEnglischverhandlungssicherNiederländischMuttersprache

Projekthistorie

Freelance Data Scientist

Daiichi Sankyo
Data analysis and model development for real-world evidence generation for various anti-cancer drugs. Development in Python, Scikit-Survival, Scikit-Learn, xgboost, survival modelling, Jupyter Lab, AWS EC2, AWS S3.

Freelance Data Engineer

Flemish Dept. of Justice
Development of data platform for Flemish law enforcement in Python, Azure databricks, pyspark, Azure Datafactory, CI/CD pipelines, Azure Devops server. Development of various data pipelines, data warehouses, data marts, dimensional models and PowerBI reports for data processing and reporting.

Freelance AI Engineer

Zorgdomein
Development of NLP/generative AI algorithms to leverage large volumes of medical texts, using RAG, to create a recommender system for general practitioners looking for healthcare services.

Freelance Data Scientist/Engineer

Bunge
Development of machine learning algorithms and data pipelines for finding leads from external and internal data sets. Marketing lead increase by €500k relative to the previous year.

Freelance Chatbot/AI Engineer

Roche
Development of NLP algorithms and analyses for the facilitation of tracking unplanned events and development and fine-tuning of Large Language Models (LLMs) for topic extraction and summarization of large pharmaceutical texts.

Freelance Data Scientist/Analyst Credit Risk Engine

T-Mobile
Conducted analyses to support fraud detection and credit acceptance policies for new clients. Developed machine learning models for predicting fraudulent orders, saving the company significant amounts on fraudulent orders.

Freelance Data Scientist/Analyst Privacy Preserving Machine Learning

PWC
Developed an NLP machine learning solution that permits learning from financial documents without infringement on privacy. This solution is embedded in a SaaS solution called DataMesh.

CTO

Medical Cloud Company
Helped a small startup grow and fuse with a larger company, called Comunicare. Acquired governmental grants to facilitate company growth. Development of software for automated patient reported outcome questionnaires.

Lead Data Scientist

Maastricht University
Supervised several PhD. Students in making predictive models for various disease areas. Models are used in clinics to guide treatment decisions and patient-doctor shared decision making.

Senior Data Scientist

Maastro Clinic
Developed clinical machine learning models for treatment decisions and cost effectiveness for cancer. The radiotherapy staff uses the models to guide treatment decisions for lung, breast and prostate cancer patients.

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