21.07.2025 aktualisiert
Premiumkunde
40 % verfügbarTechnical Lead AI, AI Architect, Senior ML / AI & Data Engineer
Sinsheim, Deutschland MSc Computer Science
Skills
APIsKünstliche IntelligenzAirflowAmazon Web ServicesData AnalysisArcgisKünstliche Neurale NetzwerkeConfluenceJiraAutomatisierungMicrosoft AzureBig DataCloud ComputingContinuous DeliveryContinuous IntegrationDatenprüfungETLProjektplanungElasticsearchInfrastrukturPythonPostgresqlMachine LearningProjektmanagementNosqlNumpyOpenshiftVisualisierungLogstashTensorflowPrometheusDataOpsSwaggerScipySQLSqlalchemyTableauDaten- / DatensatzprotokollierungDocker ContainerDatenverarbeitungGoogle CloudData SciencePostmanPytorchDocker SwarmFluentdFlaskLarge Language ModelsGrafanaPrompt EngineeringApache SparkMontage und DemontageDeep LearningGenerative AIIndexerConvolutional Neural NetworksKerasGitFastapiPandasAmazon RdsContainerisierungPysparkGitlab-CiScikit-learnKubernetesXgboostSpark StreamingKibanaRestful ApisSplunkGPTRecurrent Neural NetworksDockerElk StackAmazon RedshiftDatabricks
Languages & Data Processing: Python, SQL, Apache Spark (PySpark), Spark Streaming, ETL
Machine Learning & AI: TensorFlow, Keras, PyTorch, scikit-learn, XGBoost, Pandas, NumPy, SHAP, LIME
Generative AI & LLMs: OpenAI (ChatGPT API), Prompt Engineering, LLM Integration
Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
Containerization & Orchestration: Kubernetes, Red Hat OpenShift, Docker
Kubernetes Tooling: Helm, Kustomize
Infrastructure & CI/CD: GitLab CI/CD, Airflow, dbt
APIs & Development: FastAPI, Flask, RESTful APIs, Swagger, Git
Search & Indexing: OpenSearch, Elasticsearch
Monitoring & Logging: Prometheus, Grafana, Splunk, ELK Stack (Elasticsearch, Logstash, Kibana, Beats), Fluentd
Workflow & Automation: Databricks
Visualization & GIS: Tableau, ArcGIS
Productivity & Collaboration: Jira, Confluence, Postman
Machine Learning & AI: TensorFlow, Keras, PyTorch, scikit-learn, XGBoost, Pandas, NumPy, SHAP, LIME
Generative AI & LLMs: OpenAI (ChatGPT API), Prompt Engineering, LLM Integration
Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
Containerization & Orchestration: Kubernetes, Red Hat OpenShift, Docker
Kubernetes Tooling: Helm, Kustomize
Infrastructure & CI/CD: GitLab CI/CD, Airflow, dbt
APIs & Development: FastAPI, Flask, RESTful APIs, Swagger, Git
Search & Indexing: OpenSearch, Elasticsearch
Monitoring & Logging: Prometheus, Grafana, Splunk, ELK Stack (Elasticsearch, Logstash, Kibana, Beats), Fluentd
Workflow & Automation: Databricks
Visualization & GIS: Tableau, ArcGIS
Productivity & Collaboration: Jira, Confluence, Postman
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
- Developing AI-based recommendation systems for color, text, and content optimization to support web-based brand creation. Integrating prompt engineering, generative AI, and visual-semantic analysis into existing creative workflows. Focused on production-ready API development and modular machine learning components.
- Directed the development of a complex AI-driven algorithm for a startup, leveraging LLMs to address advanced challenges in video processing. Planned and outlined a roadmap to guide implementation and ensure a scalable, innovative solution.
- Developed a predictive recommendation engine for a major entertainment company, utilizing Big Data technologies. This project enhanced user engagement and retention, resulting in an increase in user activity on the platform.
- Developed a geospatial analytics model to calculate and filter rooftop sizes suitable for solar energy cell installations, enabling clients in the renewable energy sector to optimize site selection and enhance sustainable energy initiatives.
- Architected and planned the roadmap for a comprehensive Feature Store, streamlining feature engineering processes and significantly reducing the time required for model training and deployment.
- Designed advanced data pipeline solutions, incorporating scalable and robust data architectures that supported real-time analytics and decision-making capabilities.
- Conducted in-depth technology assessments and provided strategic insights, helping clients to adopt cutting-edge tools and methodologies for improved data-driven decision-making.
- Leading the creation of a new AI division within a highly regulated environment. Designing a sustainable infrastructure focused on data validation, automation, and scalability. Developed a proof-of-concept project for plausibility checking to demonstrate the feasibility of AI in public administration, covering everything from architecture design to implementation.
- Complete overhaul of the data and AI architecture of an established game development company. Conducted a full system audit, identified critical data silos and failure points, and proposed a scalable, cost-efficient target architecture. Currently managing roadmap planning, engineering guidelines (Clean Code, testing), internal training, and implementation of an AI-ready platform. First production-ready clickstream analyses are underway to enable personalized gaming experiences.
- Led the development of a secure, scalable data storage solution, facilitating efficient model building and R&D efforts.
- Pioneered data augmentation strategies for ML models, enhancing the predictive accuracy for firms with limited data points.
- Authored compliance tests against US regulations for bias and discrimination in predictive hiring models.
- Contributed to the growth of the company's customer base by developing tailored predictive models for small firms.