30.07.2025 aktualisiert

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Senior Data Scientist | Machine Learning & Machine Vision

Wien, Österreich
Deutschland +2
M.Sc. Automation Technology with focus on Machine Vision und Machine Learning
Wien, Österreich
Deutschland +2
M.Sc. Automation Technology with focus on Machine Vision und Machine Learning

Profilanlagen

CV_Sagmeister_01.08.2025.pdf

Skills

10+ years experience in software development:
Senior Data Scientist with over 10 years of experience delivering machine learning and computer vision solutions in industrial and research settings. Experienced in building complete ML systems from data engineering through model optimization and deployment. Recently focused on large language models and AI agents for improving operational efficiency.

 Core Competencies
  • Machine Learning & Computer Vision
  • Data Engineering & ML Pipeline Development
  • LLMs & AI Agent Integration
  • Model Deployment, MLOps & Cloud Integration

Languages & Programming
  • Python, C#, MATLAB
AI & Machine Learning Frameworks
  • PyTorch, TensorFlow, Scikit-learn
  • LangChain, Hugging Face Transformers, OpenAI API
  • OpenCV, SciPy, NumPy
Cloud & DevOps Tools
  • Docker, Azure, Git, Bitbucket
  • MLflow, FastAPI
Development Environments
  • PyCharm, Visual Studio, Jupyter, Spyder
Operating Systems
  • Linux, Windows
Industrial & Automation Systems
  • PLC (Siemens, Beckhoff), ROS
  • Loxone, KNX Smart Home

Sprachen

DeutschMutterspracheEnglischverhandlungssicher

Projekthistorie

Machine Learning & Machine Vision

Internet und Informationstechnologie

< 10 Mitarbeiter

  • Enhancing a machine learning pipeline for object detection and tracking in video streams.
  • Implemented a head pose estimation model to estimate the direction of gaze of individuals in videos.
  • Refactored code for optimizing advanced neural networks, improving video quality, pan, scan, and zoom features.

Keywords: Python, Docker, AWS, Bitbucket, OpenCV, PyTorch

Machine Vision

Industrie und Maschinenbau

1000-5000 Mitarbeiter

  • Developed filtering and 3D reconstruction algorithms for metrology data of wafer surfaces and semiconductor components.
  • Automated segmentation and critical dimension calculation for semiconductor structures, enhancing repeatability and processing speed.
  • Innovated a new stitching algorithm tailored for intricated nano-topography structures.
Keywords: C#, Python, Metrology, 3D Filtering & Reconstruction, Segmentation, Image Stitching

Machine Learning & Data Engineering

Energie, Wasser und Umwelt

10-50 Mitarbeiter

  • Prepared and assessed big data from the HMI software to identify opportunities for process optimization.
  • Utilized Machine Learning algorithms to analyze energy optimization in building automation and control. This analysis highlighted a potential savings of 70k€ per year in energy costs.
  • PLC control programming for heating and cooling centers, ventilation systems, and single room controls in Siemens STEP7.
Keywords: Python, Machine Learning, Data Engineering, PLC - Siemens STEP7, HMI – AVEVA, Optimization, Linear Regression (Scikit-learn)

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