freiberufler Senior Machine Learning Specialist and Research Leader auf freelance.de

Senior Machine Learning Specialist and Research Leader

zuletzt online vor 3 Tagen
  • auf Anfrage
  • 82110 Germering, Oberbayern
  • Europa
  • en  |  de
  • 13.02.2026
  • Contract ready

Kurzvorstellung

ML Engineer with 6+ years of experience building production ML systems and providing AI strategy consulting to startups.

Geschäftsdaten

 Freiberuflich
 Steuernummer bekannt
 Berufshaftpflichtversicherung aktiv

Qualifikationen

  • Computer Vision
  • Machine Learning Engineer1 J.
  • MLOps
  • 3D Rekonstruktion
  • Forschung & Entwicklung6 J.
  • Innovationsberater
  • Kundenberater2 J.
  • Microstrategy2 J.
  • Nvidia Omniverse
  • Python-Programmierer
  • Pytorch
  • Software engineering / -technik3 J.

Projekt‐ & Berufserfahrung

ML Engineer and Tech Lead
Verses Tech, Munich
12/2023 – 12/2025 (2 Jahre, 1 Monat)
IT & Entwicklung
Tätigkeitszeitraum

12/2023 – 12/2025

Tätigkeitsbeschreibung

• Designed and deployed an edge-ready 3D perception stack for warehouse object detection and navigation.
• Optimized the detection stack using TensorRT on Jetson Orin NX, achieving real-time performance.
• Integrated a DepthAnythingv2-based module, reducing depth latency from 1s to 50ms.

Eingesetzte Qualifikationen

Forschung & Entwicklung

AI Strategy Consultant
Dev AI Ventures (Self-Employed), Munich
12/2023 – offen (2 Jahre, 5 Monate)
IT & Entwicklung
Tätigkeitszeitraum

12/2023 – offen

Tätigkeitsbeschreibung

• Advised TenderFix on transforming OCR-based workflows into RAG pipelines for enhanced document processing efficiency.
• Scoped architecture and developed a comprehensive rollout plan to streamline implementation.
• Delivered a VLM landscape review for Drizz.dev, providing actionable model and infrastructure recommendations.
• Designed a deep learning-based image culling strategy for Eventgraphia, outlining a high-level system and data plan.
• Advised TenderFix on transforming OCR-based workflows into RAG pipelines for enhanced document processing efficiency. • Scoped architecture and developed a comprehensive rollout plan to streamline implementation. • Delivered a VLM landscape review for Drizz.dev, providing actionable model and infrastructure recommendations. • Designed a deep learning-based image culling strategy for Eventgraphia, outlining a high-level system and data plan.

Eingesetzte Qualifikationen

Kundenberater, Forschung & Entwicklung, Microstrategy

Tech Lead
Verses Global BV, Munich
12/2022 – 12/2025 (3 Jahre, 1 Monat)
IT & Entwicklung
Tätigkeitszeitraum

12/2022 – 12/2025

Tätigkeitsbeschreibung

• Led the development of an Active Inference-based routing agent, enhancing obstacle avoidance capabilities.
• Optimized the planning stack, significantly reducing planning time from 7 minutes to 21 seconds.
• Developed a PyMDP-based saccading agent for active visual exploration, contributing to a peer-reviewed conference publication.
• Designed a 3D simulation pipeline in NVIDIA Isaac Omniverse for realistic evaluation of routing agents.

Eingesetzte Qualifikationen

Lead Developer

Machine Learning Research Assistant
Fraunhofer AISEC, Munich
12/2021 – 9/2023 (1 Jahr, 10 Monate)
IT & Entwicklung
Tätigkeitszeitraum

12/2021 – 9/2023

Tätigkeitsbeschreibung

• Conducted in-depth analysis of the correlation between privacy and robustness in CNN-based classification networks.
• Explored innovative methods to enhance model robustness by dynamically altering feature space during training.
• Improved experimental capabilities based on feedback from previous paper submissions, refining initial hypotheses.

Eingesetzte Qualifikationen

Angewandte Forschung, Forschung & Entwicklung, Machine Learning Engineer, Wissenschaftlicher Assistent

Machine Learning Engineer (Festanstellung)
Edge Case Research GmbH, Munich
10/2019 – 1/2022 (2 Jahre, 4 Monate)
Automobilindustrie
Tätigkeitszeitraum

10/2019 – 1/2022

Tätigkeitsbeschreibung

• Deployed an end-to-end ADAS perception pipeline with Multiple Object Tracking (MOT), extending 2D object detection to 3D bounding boxes on AWS
• Integrated monitoring and alerting for production ML models using Weights & Biases, with automated performance tracking across model versions to support data-driven iteration

Eingesetzte Qualifikationen

Forschung & Entwicklung, Software engineering / -technik

Software Engineer(ADAS) (Festanstellung)
KPIT, Munich
1/2019 – 8/2019 (8 Monate)
IT & Entwicklung
Tätigkeitszeitraum

1/2019 – 8/2019

Tätigkeitsbeschreibung

• Architected Vehicle State Monitor for high-frequency multi-sensor data processing pipeline, handling 100+ Hz sampling rates
• Developed a GUI dashboard to monitor and visualise real-time vehicle health from streaming telemetry
• Developed and Automated comprehensive testing framework for vehicle telemetry system
Software Engineer

Eingesetzte Qualifikationen

Software engineering / -technik

Machine Learning Engineer
Terraloupe GmbH, Munich
12/2018 – 12/2019 (1 Jahr, 1 Monat)
IT & Entwicklung
Tätigkeitszeitraum

12/2018 – 12/2019

Tätigkeitsbeschreibung

• Developed a proof of concept for Swimming Pool Segmentation using aerial imagery for a prospective customer.
• Created a comprehensive data engineering pipeline, including data sourcing, cleaning, and exploratory data analysis for large-scale datasets (>50TB).
• Automated an end-to-end MLOps pipeline utilizing Docker and CI/CD, achieving a 40% reduction in experimentation time.

Eingesetzte Qualifikationen

Data Science, Bildverarbeitung, Maschinelles Lernen, Softwareentwickler

Zertifikate

M.Sc. Informatics | Majors:Machine Learning and Computer Vision
Technical University Munich
2023

Über mich

ML Engineer with 6+ years of experience building production ML systems and providing AI strategy consulting to startups. I’ve designed and deployed deep learning infrastructure from edge perception pipelines to low-latency inference. I’ve consulted startups with research work and strategic roadmaps on RAG pipelines and LLM/VLM
architectures. Expertise spans MLOps, Computer Vision, and communicating complex ML concepts to diverse stakeholders.

Weitere Kenntnisse

Languages: Python, C++, MATLAB, Java, bash

Libraries: PyTorch, Tensorflow, ROS, lightGBM, OpenCV, Numpy/CuPy, Pandas, GeoPandas, Scikit-learn

Topics: Diffusion, Visual Transformers, NeRFs, 3-D Reconstruction, Object Detection, Tracking & Segmentation

Prod Tools: FastAPI, WandB, MLFlow, Docker, Git

Data Viz: Matplotlib, Seaborn, Plotly

Databases: PostGres, MongoDB

Cloud: Google Cloud Engine, AWS

Persönliche Daten

Sprache
  • Englisch (Muttersprache)
  • Deutsch (Gut)
Reisebereitschaft
Europa
Arbeitserlaubnis
  • Europäische Union
Home-Office
bevorzugt
Profilaufrufe
206
Alter
32
Berufserfahrung
2 Jahre und 4 Monate (seit 12/2023)

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