Via developer állások, munkák adatbázisszakértő kategóriában

You own the full lifecycle of machine learning models - from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems....

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

• Prepare large-scale automated driving datasets for training and evaluation purposes.
• Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems.

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release....

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.