Python Data Scientist – Computer Vision / Sensor Data (m/w/d) ID01922
Python Data Scientist – Computer Vision / Sensor Data (m/w/d) ID01922
Python Data Scientist – Computer Vision / Sensor Data (m/w/d) ID01922
Python Data Scientist – Computer Vision / Sensor Data (m/w/d) ID01922
mund consulting AG
Beratung, Consulting
Berlin
- Art der Anstellung: Vollzeit
- 73.500 € – 108.000 € (von XING geschätzt)
- Hybrid
- Zu den Ersten gehören
Python Data Scientist – Computer Vision / Sensor Data (m/w/d) ID01922
Über diesen Job
Job Description
Project work (external) Berlin, remote. Start June 2025.
Python
Docker
CI/CD
Azure DevOps
Machine Learning
Computer Vision
OpenCV
PyTorch
TensorFlow
Float
...wanted for an exciting position in the railway and innovation sector.
Start:06/2025
End:12/2025 (extension option possible)
Workload:100%
Location:95% remote, occasionally on-site in Berlin (once per quarter)
End:12/2025 (extension option possible)
Workload:100%
Location:95% remote, occasionally on-site in Berlin (once per quarter)
Project description: In the Data Factory
subprojectof the strategic innovation project, our client is developing a sensor-based on-premise data platform for the collection, processing, and analysis of multimodal data (camera, LiDAR, GNSS, etc.).
subprojectof the strategic innovation project, our client is developing a sensor-based on-premise data platform for the collection, processing, and analysis of multimodal data (camera, LiDAR, GNSS, etc.).
The goal is to implement ML-based solutions for object detection and classification in the railway environment. The data is collected onboard, preprocessed locally, and used in a data center for further analysis and model development.
Tasks:
- Development and programming of Python components for analyzing multimodal sensor data (RGB/IR camera, LiDAR, GNSS)
- Analysis of data quality and content (e.g. object recognition, scene analysis)
- Implementation of analyses as virtualized pipelines using Docker Compose and Flyte
- Training and optimization of ML models for different object classes including performance analysis
- Creation of interfaces for the integration of analysis results
- Documentation according to project standards, CI/CD-based tests and deployments (Azure DevOps/GitLab)
- Agile collaboration in a cross-functional Kanban team with a high level of personal responsibility
Requirements (must-have):
- At least 5 years of practical experience in developing Python applications in the field of machine learning and computer vision
- In-depth theoretical knowledge of computer vision/machine learning/statistical data analysis
(Study/Further education)
- Min. 2 years of experience in containerization with Docker
- Project experience with CI/CD pipelines, Git, Azure DevOps or GitLab
- English at least B2 (spoken and written, project language is English)
Desirable (nice-to-have):
- Practical experience with OpenCV, ROS2, PyTorch, TensorFlow
- Project experience with point cloud data and corresponding algorithms
- Problem-solving skills in the area of complex data analysis requirements
- Experience in using the workflow orchestrator Flyte
The mund consulting team looks forward to receiving your application. Please include a current CV, availability, and your desired hourly rate.
Best regards,
Thomas Mund
, post@mund-consulting.de
Best regards,
Thomas Mund
, post@mund-consulting.de
Edited 21.05.25
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