Machine Learning Data Engineer Jobs in Austria

In this role, you will develop AI models, optimize xLSTM/ViL models for deployment, and work on data handling, performance profiling, and deep learning pipeline optimization.

In this role, you will develop AI/ML algorithms for image processing and data analysis in life sciences, program in Python, and work on integration into products.

In this role, you will develop advanced AI solutions and enhance existing models through training, fine-tuning, and deployment while collaborating closely with product managers.

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 AI pipelines in Microsoft Azure, automate business processes using Machine Learning, and integrate data processing solutions with Python, as well as backend components using Django and Node.js.

In this role, you will take end-to-end ownership of ML/AI applications, optimize RAG, and establish LLMOps while collaborating closely with business partners and implementing evaluation frameworks.

In this role, you develop ML/AI systems and orchestrate LLMs with agent frameworks while implementing RAG, establishing LLMOps, and conducting evaluations to optimize performance and costs.

In this role, you will develop ML models, optimize LLMs, and manage end-to-end pipelines while implementing containerization with Docker and cloud deployments using AWS.