Senior AI & MLOps Architect & Technical Lead | Azure, Databricks & KASTEL Security
Aktualisiert am 25.02.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 09.02.2026
Verfügbar zu: 40%
davon vor Ort: 100%
Data Scientist
MLOps
Databricks
Cloud Computing
Tableau
Data Engineer
PL/SQL
Agile Softwareentwicklung
Data Analyst
German
native (C2)
English
Full Professional Proficiency (C2)
Spanish
Elementary (A2)
Turkish
Grundkenntnisse

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

4 months
2025-11 - now

Parts Risk Scoring System (Supply Chain Optimization)

Data Strategist & Senior Data Scientist Dagster Python Polars ...
Data Strategist & Senior Data Scientist
  • Business Impact: Designed a multi-dimensional scoring engine to identify "problem parts" in a complex supply chain, directly addressing stockouts and revenue gaps.
  • Architecture: Built a modular, explainable scoring system on an ELK Stack (Elasticsearch, Kibana) to process disparate data sources (ERP, inventory, supplier performance).
  • Leadership: Advising stakeholders on data strategy and ownership structure.


Dagster Python Polars ElasticSearch Agentic Workflow Software Development
Factory Supply Chain
4 months
2025-11 - now

Pharma Targeting Platform

Technical Product Lead Python Parquet Pandas ...
Technical Product Lead
  • Product Vision: Developed a data platform for the segmentation of Healthcare Professionals (HCPs) to optimize pharmaceutical targeting strategies.
  • Tech Stack: Built a robust Python package with automated data pipelines, analysis and visualization.
  • Advanced Analytics: Implemented community detection algorithms and similarity clustering (Jaccard) to map HCP networks and influence clusters.
  • Quality Assurance: Established a full test suite and automated data quality checks.
Python Parquet Pandas NetworkX PyTest Agentic Workflow Software Development
2 years 2 months
2024-01 - now

CX Analytics and Financial Risk @ Major Telco Provider

Lead Data Scientist & MLOps Architect team size 4-6 agile Scrum Python ...
Lead Data Scientist & MLOps Architect
Stream A: CX Analytics & NPS Optimization (Current focus)
  • Spearheading the end-to-end development of causal ML models (Uplift Modeling) to improve customer experience.
  • Establishing MLOps standards using CI/CD, GCP, Oracle and Databricks for automated cloud infrastructure.
  • Development of "Explainable AI" components (SHAP) to translate complex model decisions for business stakeholders.

Stream B: Realtime Financial Risk Application
  • Architected the migration of critical risk application to a scalable Azure/Databricks environment.
  • Model optimization and software development for team MLOps strategy.
  • Compliance & Governance: Ensured strict adherence to GDPR (BDSG), Banking Secrecy, and TKG regulations through audit-proof data pipelines.
  • Innovation:
    • Conducted PoCs for Vector-Database integration (CosmosDB) to modernize risk scoring
    • Design of custom documentation structure for component-rich architecture (Confluence)
    • Development of a standard for exploratory data analysis
team size 4-6 agile Scrum Python scikit-learn/sklearn MLflow Tensorflow Keras Jira incl. monitoring alerting Apache Spark ACA Docker Kubernetes KQL stakeholder engagement
Major Telco Provider
5 years 1 month
2019-06 - 2024-06

Development and research of neural networks

  • Development and research of neural networks in Python and PyTorch
  • Data analysis with Matplotlib and ML Explainability
    • Joint research work for reinforcement learning + machine learning in IT security

Research Center for Computer Science, IDS
3 years 3 months
2020-10 - 2023-12

various projects

Lead Data Scientist SQL and PL/SQL (Oracle) Apache Spark Hadoop ...
Lead Data Scientist
Project: Realtime AI Financial Risk Application Migration & Development (Telco) 
Role: Lead Data Scientist
  • Big Data Engineering: Developed ETL pipelines handling massive datasets, event modelling.
  • Development of new functionalities (analytics modules, user feedback and model training processes) for internal analytics platform.
  • Development of SQL and PL/SQL load runs based on specific requirements and storage of the results in relational SQL databases.
  • Anomaly Detection: Built models for time-series anomaly detection and automated root cause analysis, including explainable AI (SHAP)
  • Operational Excellence: Created monitoring dashboards to ensure 24/7 system reliability.
Project: Speech Recognition Bot (Tech Startup) 
Role: Data Scientist
  • Implemented automatic speech recognition (Kaldi, Shell) and Named Entity Recognition (NER) for a conversational AI interface.
  • Containerized software operationalization.
  • Managed stakeholder expectations and defined the technical roadmap.
Project: Address Classification (Logistics) 
Role: Assisting Data Scientist
  • Implemented ETL pipeline using Kedro + PyTorch
  • Inference API operational via FastAPI and Docker
  • Data analysis using Matplotlib, Jupyter Notebooks, Python, on Azure
  • System stress testing with locust
SQL and PL/SQL (Oracle) Apache Spark Hadoop Apache Hive Python and Kubernetes/Docker Azure AWS Keras scikit-learn/sklearn MLflow Jira and Confluence Grafana Prometheus Tableau
Major Telco Provider
7 months
2019-12 - 2020-06

Protocol Reverse Engineering using Neural Networks

Researcher & Author Python PyTorch Neural Networks
Researcher & Author
  • PyTorch and Python development
  • Design of a novel, modular protocol reverse engineering framework for deep learning

Python PyTorch Neural Networks
1 year 8 months
2017-10 - 2019-05

Hercules-2 Project for predictive maintenance

Assisting Researcher R PL/SQL Java ...
Assisting Researcher

  • High-dimensional outlier detection with R, Java
  • Selection of Data Attributes in Oracle PL/SQL

R PL/SQL Java Oracle
Institute of Program Structures and Data Organization, KIT (University)

Aus- und Weiterbildung

Aus- und Weiterbildung

Executive MBA Candidate ESADE Business School | Expected 2028 Focus on Entrepreneurship, Tech Strategy & Innovation.

2018 ? 2020
Study - Machine Learning & IT Security
Computer Science Karlsruhe Institute of Technology (KIT)
Thesis: on request
Degree: Master of Science

2014 ? 2018
Study - Computer Science
Karlsruhe Institute of Technology (KIT)
Degree: Bachelor of Science

Certifications
  • Applied Cybersecurity (KASTEL): Certificate by KIT.
  • Azure Data Science Associate: Certified Professional.
  • Azure Fundamentals: Data Engineering, Data Science, Security, Compliance and Identity
  • Databricks Data Engineering: Certification Candidate.
  • Modern Forecasting in Practice (Time Series Forecasting)
  • Coursera:
    • Scalable ML on Big Data using Apache Spark
    • Using ML in Trading and Finance

Position

Position

  • Senior AI & MLOps Architect & Technical Lead | Azure, Databricks & KASTEL Security

Kompetenzen

Kompetenzen

Top-Skills

Data Scientist MLOps Databricks Cloud Computing Tableau Data Engineer PL/SQL Agile Softwareentwicklung Data Analyst

Schwerpunkte

  • Cloud & Architecture: Azure Specialist, AWS, Databricks Lakehouse, Docker, Kubernetes, Oracle, PL/SQL
  • ML Engineering: PyTorch, TensorFlow, Scikit-learn, MLflow, Time Series Forecasting.
  • Data Engineering: Spark, SQL, NoSQL (CosmosDB), Kafka.
  • Agile work: Jira, Confluence, Scrum, Office365

Produkte / Standards / Erfahrungen / Methoden

AI and MLOps Architect & Techincal Lead
Data Science & Machine Learning
Cloud Computing
Dashboards & BI
IT-Security
Databricks

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

4 months
2025-11 - now

Parts Risk Scoring System (Supply Chain Optimization)

Data Strategist & Senior Data Scientist Dagster Python Polars ...
Data Strategist & Senior Data Scientist
  • Business Impact: Designed a multi-dimensional scoring engine to identify "problem parts" in a complex supply chain, directly addressing stockouts and revenue gaps.
  • Architecture: Built a modular, explainable scoring system on an ELK Stack (Elasticsearch, Kibana) to process disparate data sources (ERP, inventory, supplier performance).
  • Leadership: Advising stakeholders on data strategy and ownership structure.


Dagster Python Polars ElasticSearch Agentic Workflow Software Development
Factory Supply Chain
4 months
2025-11 - now

Pharma Targeting Platform

Technical Product Lead Python Parquet Pandas ...
Technical Product Lead
  • Product Vision: Developed a data platform for the segmentation of Healthcare Professionals (HCPs) to optimize pharmaceutical targeting strategies.
  • Tech Stack: Built a robust Python package with automated data pipelines, analysis and visualization.
  • Advanced Analytics: Implemented community detection algorithms and similarity clustering (Jaccard) to map HCP networks and influence clusters.
  • Quality Assurance: Established a full test suite and automated data quality checks.
Python Parquet Pandas NetworkX PyTest Agentic Workflow Software Development
2 years 2 months
2024-01 - now

CX Analytics and Financial Risk @ Major Telco Provider

Lead Data Scientist & MLOps Architect team size 4-6 agile Scrum Python ...
Lead Data Scientist & MLOps Architect
Stream A: CX Analytics & NPS Optimization (Current focus)
  • Spearheading the end-to-end development of causal ML models (Uplift Modeling) to improve customer experience.
  • Establishing MLOps standards using CI/CD, GCP, Oracle and Databricks for automated cloud infrastructure.
  • Development of "Explainable AI" components (SHAP) to translate complex model decisions for business stakeholders.

Stream B: Realtime Financial Risk Application
  • Architected the migration of critical risk application to a scalable Azure/Databricks environment.
  • Model optimization and software development for team MLOps strategy.
  • Compliance & Governance: Ensured strict adherence to GDPR (BDSG), Banking Secrecy, and TKG regulations through audit-proof data pipelines.
  • Innovation:
    • Conducted PoCs for Vector-Database integration (CosmosDB) to modernize risk scoring
    • Design of custom documentation structure for component-rich architecture (Confluence)
    • Development of a standard for exploratory data analysis
team size 4-6 agile Scrum Python scikit-learn/sklearn MLflow Tensorflow Keras Jira incl. monitoring alerting Apache Spark ACA Docker Kubernetes KQL stakeholder engagement
Major Telco Provider
5 years 1 month
2019-06 - 2024-06

Development and research of neural networks

  • Development and research of neural networks in Python and PyTorch
  • Data analysis with Matplotlib and ML Explainability
    • Joint research work for reinforcement learning + machine learning in IT security

Research Center for Computer Science, IDS
3 years 3 months
2020-10 - 2023-12

various projects

Lead Data Scientist SQL and PL/SQL (Oracle) Apache Spark Hadoop ...
Lead Data Scientist
Project: Realtime AI Financial Risk Application Migration & Development (Telco) 
Role: Lead Data Scientist
  • Big Data Engineering: Developed ETL pipelines handling massive datasets, event modelling.
  • Development of new functionalities (analytics modules, user feedback and model training processes) for internal analytics platform.
  • Development of SQL and PL/SQL load runs based on specific requirements and storage of the results in relational SQL databases.
  • Anomaly Detection: Built models for time-series anomaly detection and automated root cause analysis, including explainable AI (SHAP)
  • Operational Excellence: Created monitoring dashboards to ensure 24/7 system reliability.
Project: Speech Recognition Bot (Tech Startup) 
Role: Data Scientist
  • Implemented automatic speech recognition (Kaldi, Shell) and Named Entity Recognition (NER) for a conversational AI interface.
  • Containerized software operationalization.
  • Managed stakeholder expectations and defined the technical roadmap.
Project: Address Classification (Logistics) 
Role: Assisting Data Scientist
  • Implemented ETL pipeline using Kedro + PyTorch
  • Inference API operational via FastAPI and Docker
  • Data analysis using Matplotlib, Jupyter Notebooks, Python, on Azure
  • System stress testing with locust
SQL and PL/SQL (Oracle) Apache Spark Hadoop Apache Hive Python and Kubernetes/Docker Azure AWS Keras scikit-learn/sklearn MLflow Jira and Confluence Grafana Prometheus Tableau
Major Telco Provider
7 months
2019-12 - 2020-06

Protocol Reverse Engineering using Neural Networks

Researcher & Author Python PyTorch Neural Networks
Researcher & Author
  • PyTorch and Python development
  • Design of a novel, modular protocol reverse engineering framework for deep learning

Python PyTorch Neural Networks
1 year 8 months
2017-10 - 2019-05

Hercules-2 Project for predictive maintenance

Assisting Researcher R PL/SQL Java ...
Assisting Researcher

  • High-dimensional outlier detection with R, Java
  • Selection of Data Attributes in Oracle PL/SQL

R PL/SQL Java Oracle
Institute of Program Structures and Data Organization, KIT (University)

Aus- und Weiterbildung

Aus- und Weiterbildung

Executive MBA Candidate ESADE Business School | Expected 2028 Focus on Entrepreneurship, Tech Strategy & Innovation.

2018 ? 2020
Study - Machine Learning & IT Security
Computer Science Karlsruhe Institute of Technology (KIT)
Thesis: on request
Degree: Master of Science

2014 ? 2018
Study - Computer Science
Karlsruhe Institute of Technology (KIT)
Degree: Bachelor of Science

Certifications
  • Applied Cybersecurity (KASTEL): Certificate by KIT.
  • Azure Data Science Associate: Certified Professional.
  • Azure Fundamentals: Data Engineering, Data Science, Security, Compliance and Identity
  • Databricks Data Engineering: Certification Candidate.
  • Modern Forecasting in Practice (Time Series Forecasting)
  • Coursera:
    • Scalable ML on Big Data using Apache Spark
    • Using ML in Trading and Finance

Position

Position

  • Senior AI & MLOps Architect & Technical Lead | Azure, Databricks & KASTEL Security

Kompetenzen

Kompetenzen

Top-Skills

Data Scientist MLOps Databricks Cloud Computing Tableau Data Engineer PL/SQL Agile Softwareentwicklung Data Analyst

Schwerpunkte

  • Cloud & Architecture: Azure Specialist, AWS, Databricks Lakehouse, Docker, Kubernetes, Oracle, PL/SQL
  • ML Engineering: PyTorch, TensorFlow, Scikit-learn, MLflow, Time Series Forecasting.
  • Data Engineering: Spark, SQL, NoSQL (CosmosDB), Kafka.
  • Agile work: Jira, Confluence, Scrum, Office365

Produkte / Standards / Erfahrungen / Methoden

AI and MLOps Architect & Techincal Lead
Data Science & Machine Learning
Cloud Computing
Dashboards & BI
IT-Security
Databricks

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