Machine Learning Data Engineer Jobs in Styria

In this role, you will research innovative machine learning solutions for extreme cases, challenge fundamental assumptions, develop neural networks, and write scientific papers on your findings.

In this role, you will build efficient ML pipelines for processing geospatial data, design resilient systems for GPU-accelerated inference, and tackle challenges in memory optimization and resource allocation.

In this role, you will develop state-of-the-art vision models for geospatial analytics, implement new ML architectures, and support our no-code AI platform to enhance user interaction with models.

In this role, you train advanced vision models for geospatial analytics and implement innovative ML architectures, enabling users on the no-code AI platform to train their own models.

In this role, you will train state-of-the-art vision models for geospatial analytics and implement cutting-edge ML architectures while enhancing our user-friendly AI platform.

In this role, you will develop innovative machine learning solutions, optimize models, and implement software for sensing and physics-based simulations on embedded platforms like Raspberry Pi and NVIDIA Jetson.

In this position, you develop algorithms for position estimation, implement modern estimation techniques, and train machine learning models to enhance robustness and sensor fusion for automotive systems.

In this role, you will develop innovative machine learning algorithms for humanoid and industrial robots, working on advanced perception and decision-making models in the field of robotics.

In this role, you will develop Machine Learning models and end-to-end pipelines to analyze data in the intralogistics field, closely collaborate with an interdisciplinary team, and explore AI solutions for international client projects.

Collaborate with the ML research team to transform innovative concepts into commercial products. Analyze household data patterns to enhance model architecture & parameterization. Validate results through field testing and refine models based on these...

Development of the data collection strategy for the development of an LLM specializing in sales Creation and implementation of a training framework for LLMs (SFT, RLHF, etc...) Development and implementation of evaluation and monitoring...

Development and training of machine learning models with frameworks such as TensorFlow or Scikit-learn - always tailored to our projects. Model verification and deployment: stable, scalable and continuously monitored. Close collaboration with data...

Automotive companies are intensively developing automated driving functions and vehicles. Unfortunately, we have already seen severe road accidents involving automated vehicles. Thus, the safety and reliability of autonomous driving vehicles (ADV) need...

Plan, execute and coordinate R&D projects for/with internal and external R&D departments, supplier companies, institutions and academia. Research latest advances in technology building blocks for automotive products & systems, software/data analytics...

You play a central role in researching, (re-)designing, implementing and evaluating new ML driven approaches for audio processing. You prototype new concepts and adapt existing algorithms and models to best fit real-life requirements (e.g. as part of...